Method and device for signal- or spectral-adapted selection of signal or spectral sections

Abstract

Method for selecting at least one signal segment extending over a first signal section (Δ t 1 , Δ t 2 , Δ t 3 ,... ) ( { si} t E nd 1 t Start 1 , { si} t E nd 2 t Start 2 , { si} t E nd 3 t Start 3 ,... ) of a detected signal (s(t)) with the following process steps: • Determining a start time ( t Start 1 , t Start 2 , t Start 3 ,... ) of the respective first signal section (Δ t 1 , Δ t 2 , Δ t 3 ,... ) from at least one time point which corresponds to a defined first event that occurred in the signal (s(t)) or in at least one signal derivable from the signal (s(t)) or in a timer or in an external trigger signal, • Determining an end time (t End 1, t End 2, t End 3,...) of the respective first signal section (Δ t 1 , Δ t 2 , Δ t 3 ,... ) from at least one time point which belongs to a defined second event that occurred in the signal (s(t)) or in at least one signal derivable from the signal (s(t)) or in the timer or in the external trigger signal and is related to at least one first event, and • Selecting the signal waveform ( { si} t E nd 1 t Start 1 , { si} t E nd 2 t Start 2 , { si} t E nd 3 t Start 3 ,... ) of the detected signal (s(t)) in the respective first signal section ( Δ t 1 , Δ t 2 , Δ t 3 ,... ) , where the in the respective first signal sections (Δ t 1 , Δ t 2 , Δ t 3 ,... ) selected signal waveforms ( { si} t E nd 1 t Start 1 , { si} t E nd 2 t Start 2 , { si} t E nd 3 t Start 3 ,... ) of the detected signal (s(t)) with the corresponding first signal sections ( Δ t 1 , Δ t 2 , Δ t 3 ,... ) , proper start and end times ( t Start 1 , t Start 2 , t Start 3 ,..., t End 1 , t End 2 , t End 3 ,... ) on a display device (12), wherein in the respective first signal section (Δ t 1 , Δ t 2 , Δ t 3 ,... ) Deterministic and / or statistical parameters of the detected signal (s(t)) are determined and compared with associated defined reference values ​​for admissibility, and including a selection and representation of the respective first signal section (Δ t 1 , Δ t 2 , Δ t 3 ,... ) on the display device (12) only if the respective first signal section (Δ t 1 , Δ t 2 , Δ t 3 ,... ) exhibits permissible deterministic and / or statistical parameters.

Description

[0001] The invention relates to a method and a device for the signal- or spectrally adapted selection of signal or spectral sections in a detected signal.

[0002] Today's measuring devices for measuring and displaying complex signals in the time or frequency domain offer a wide range of trigger options. EP 1 669 764 A1 describes trigger functions in the time and frequency domain that go far beyond level or edge triggering. For example, a frequency mask trigger triggers when the spectral response of the measurement signal leaves a specific spectral response corridor. A modulation trigger enables triggering when a specific data bit sequence of the demodulated measurement signal is present. CDMA, OFDM, or QAM triggers compare demodulated CDMA subcodes, OFDM symbols, or QAM symbols with CDMA reference subcodes, OFDM reference symbols, or QAM reference symbols for triggering.

[0003] However, all of these disclosed trigger methods still suffer from the disadvantage that the trigger event defines either only the start or end of recording, and the time interval to be recorded is a value dependent on various adjustable parameters or parameters specified by the respective measuring device—for example, the temporal resolution of the recording or the depth of the available acquisition memory. Consequently, after defining the trigger condition and the recording parameters, the end or start of recording is a fixed point in time referenced to the corresponding start or end of recording.

[0004] Since signals to be measured often have temporally limited signal sections, each with a characteristic signal waveform – for example, a GSM signal with a defined training bit sequence for channel estimation in the middle of the burst (GSM midamble) or pulse patterns in the control signal of a frequency converter – a recording end referenced to the start of recording or a recording start referenced to the end of recording may disadvantageously result in only a partial recording of a characteristic signal waveform within a measured signal or in the recording of unnecessary signal components of the measured signal outside the characteristic signal section of interest. A recording of the measured signal exactly within defined limits, which depend on the characteristics of the signal waveform of the measured signal and are therefore signal-adapted, does not occur.

[0005] If this signal-adapted selection of individual signal sections of a signal to be measured is missing, and a selected signal section extends, for example, over several bursts of a burst signal, a burst gap between two consecutive bursts can no longer be identified due to a low time resolution of the display. Even a statistical evaluation of such a selected signal section disadvantageously fails to identify the signal level minimum of the measurement signal corresponding to the burst gap.

[0006] US 2005 / 0 225 310 A1 discloses an oscilloscope with extended trigger functions.

[0007] FÜßLE, Jörg: Universal Radio Communication Tester R&S CMU 200 - Complex TX measurements through extended trigger options, in: News from Rohde&Schwarz, H.187,III / 2005,p.25-27 reveals complex transmission measurements through extended trigger options.

[0008] US 5 103 402 A discloses a method and apparatus for identifying, storing and analyzing continuous frequency domain data in a spectrum analyzer.

[0009] EP 1 669 764 A1 discloses a modulation domain trigger generator.

[0010] Textronic, Inc.: Timing Error Debugging Appl. Note 55W-18497-0, December 2004, discloses troubleshooting for timing errors.

[0011] The object of the invention is therefore to provide a method and a device for recording a measured signal in the time and frequency domain, the start and, at the same time, the end of the recording depend on the signal and / or spectral characteristic of the measured signal.

[0012] The object is achieved by a method for selecting the signal profile of a detected signal in a signal-adapted time period having the features of claim 1, a method for selecting the spectral profile of a detected signal in a spectrally adapted frequency-time period having the features of claim 11, a device for selecting the signal profile of a detected signal in a signal-adapted time period having the features of claim 19, and a device for selecting the spectral profile of a detected signal in a spectrally adapted frequency-time period having the features of claim 20. Advantageous technical developments are listed in the respective dependent claims.

[0013] According to the invention, for signal analysis in the time domain, the first step involves determining the starting time of one or more signal segments of the measured signal to be recorded—hereinafter referred to as the first signal segments of the measured signal. For this purpose, one or more first events defined for the starting time of the first signal segment to be recorded are detected, and their corresponding times are determined. The starting time is determined when the temporal sequence of the times determined for the detected first events matches a user-defined sequence of the times corresponding to the first events.

[0014] The first events relevant for the start time are so-called “signal events” occurring in the measured signal - for example the exceeding of a threshold value defined before the measurement in the case of a positive edge of the measured signal - or so-called “signal events” that occur in other signals derived from the measurement signal by means of a specific signal conversion or processing - for example a specific bit sequence that results from the demodulation of the measured signal - or the activation of an external trigger signal or so-called “time events” occurring in a timer - for example the time 12 November 2008 14:46 hours and 12 seconds - .The start time of the first signal section to be recorded is determined by determining the chronological sequence of the times determined for the individual “signal events” and / or “time events” and comparing the determined chronological sequence with a defined chronological sequence of the times belonging to the individual events for agreement.

[0015] For example, if the defined temporal sequence of the times belonging to the events is such that the time of the "signal event" "threshold value exceeded of the measurement signal" lies between the two "time events" "November 12, 2008, 2:46 p.m." and "November 12, 2008, 2:48 p.m.", then a threshold value exceeded of the measurement signal on November 12, 2008, at 2:47 p.m. generates the time November 12, 2008, at 2:47 p.m. as the start time of the first signal section to be recorded.

[0016] The first and second events detected in the timer - "time events" - can be absolute times or times referenced to other absolute times.

[0017] A detector unit is used to detect a first event in the measured signal, a first event in each signal derived from the measured signal, a first event in an external trigger signal, and a first event in the timer.The comparison of the chronological sequence of the times determined for each of the first events with a defined chronological reference sequence of the times belonging to the individual events in order to determine the start time of the first signal section to be recorded is carried out in a comparison unit with comparators for comparing the time of each event with the time of every other event and with a downstream, user-programmable logic unit for logically linking the comparison results determined in the individual comparators in accordance with the reference sequence defined by the user.

[0018] In a further process step, the end time of the first signal section to be recorded is determined. For this purpose, second events are defined that are related to at least one first event. Analogous to the first events, the second events are events occurring in the measured signal, events that occur in other signals derived from the measurement signal through a specific signal conversion or processing, events that occur in an external trigger signal, or so-called time events that occur in a timer.A second detectable event is, for example, the second “signal event” “threshold undershoot of the negative signal edge of the measurement signal” in a period of time that lies between the two second “time events” “10 milliseconds after the threshold overshoot of the positive signal edge of the measurement signal” and “20 milliseconds after the threshold overshoot of the positive signal edge of the measurement signal”, each relating to a first “signal event”.

[0019] The detection of these second events and the determination of the corresponding times are carried out by the same detection units that perform the detection of the corresponding first events. The determination of the temporal sequence of the times belonging to the individual second events and the comparison of this determined sequence with a user-defined reference sequence of the times belonging to each second event with a view to determining the end time of the first signal section to be recorded is again carried out in the comparison unit with comparators for comparing the time of each second event with the time of every other second event and with a logic unit for logically and sequentially linking the comparison results determined in the individual comparators in accordance with a user-defined reference sequence.The comparators used in the comparison unit are designed with or without hysteresis.

[0020] Based on the start and end times determined for each first signal section of the measured signal, in a further process step the sample values ​​located in the respective first signal section between the start and end times are selected from the sample values ​​of the measured signal temporarily stored in a cyclic buffer memory and, after measurement data processing, are stored in a display memory for representation on a display device.

[0021] By identifying a starting point for a first signal section of the measured signal, the identification of deterministic parameters of the measured signal—for example, the edge steepness at the beginning of a burst signal or the duration of a burst—and / or statistical parameters of the measured signal—for example, the maximum or average value of the sample values ​​in the burst signal—begins. The deterministic and / or statistical parameters of the measured signal determined at each point in time are continuously compared with associated, previously defined reference values ​​for admissibility. This enables rapid, real-time evaluation of the acquired signal with regard to a correct or otherwise erroneous signal profile.

[0022] If an inadmissible deterministic and / or statistical characteristic is identified within the respective first signal segment, in a first variant the signal waveform of the measured signal belonging to the respective first time segment is not selected and is not displayed on the display device because it is not relevant for display. In a second variant, the signal waveform of the measured signal belonging to the respective first time segment is selected, and the inadmissible deterministic and / or statistical characteristics identified in the signal waveform within the first time segment - for example, an excessively steep positive burst edge or a maximum sample value in the measured signal that lies outside the tolerance range - are separately marked in the display on the display device.

[0023] The representation on the display device optionally contains, in addition to the signal curve of the measured curve belonging to the determined first time period, an indication of the start and end time of the determined first time period and the deterministic and / or statistical signal parameters determined in the determined first time period.

[0024] Instead of the first time period determined by the determined start and end times, a signal curve of the measured signal in a second time period that is shortened or extended compared to the first time period is selected from the sample values ​​of the measured signal stored in the cyclic buffer memory and displayed on the display device.

[0025] In signal post-processing, it is possible to feed the signal waveforms of the measured signal selected in the respective determined time periods to a further selection of signal waveforms of the measured signal in time periods that are subordinate to the determined time periods serving as the higher-level time periods. In this way, time periods within the respective higher-level time period that are not relevant for further signal analysis can be masked out. This makes it possible to restrict a higher-level time period containing a burst signal with both burst edges to a lower-level time period containing the burst signal without the burst edges that are irrelevant for further signal analysis.The transfer of a signal curve of the measured signal located in a higher-level time period into at least one signal curve located in a lower-level time period can be carried out in several iteration stages in order to obtain an arbitrarily small time period with a signal content that is ultimately highly relevant for the signal analysis.

[0026] In the case of a signal analysis in the frequency domain, the start and end times of a time-limited spectrum analysis are determined in the first two steps, analogous to the case of signal analysis in the time domain. The spectrum calculated in this time window is referred to below as the first frequency section.

[0027] The first and second events and their corresponding times are either events in the measurement signal itself - for example, a frequency drift of a spectrum belonging to the measurement signal - or events in spectra of signals derived from the measurement signal by signal conversion or processing or events in an external trigger signal or in a timer.

[0028] An online evaluation of the recorded spectrum of the measured signal in the respectively selected first frequency sections of the individual first time periods according to deterministic parameters - for example, exceeding a certain level - and / or according to statistical parameters - for example, maximum spectral line in the examined frequency range - is advantageous with regard to a real-time evaluation of the measured spectrum.

[0029] A selection and display of the spectral curve in a second time period which is longer or shorter than the first time period or in a second frequency period which is longer or shorter than the first frequency period on the display device enables a flexible display and evaluation which takes into account the immediate surroundings of the first time period or the first frequency period under investigation.

[0030] In particular with regard to a detailed analysis of the spectral curve of the detected signal recorded in the time-frequency domain, a multi-stage determination of one or more subordinate time periods within a superordinate time period is provided.

[0031] Two exemplary embodiments of the method and device according to the invention for selecting the signal profile of a detected signal in a signal-adapted time period and for selecting the spectral profile of a detected signal in a spectrally adapted frequency-time period are explained below with reference to the drawing. The figures of the drawing show: Fig. 1A is a block diagram of an apparatus according to the invention for signal-adapted selection of the signal waveform of a detected signal in a signal-adapted signal section, Fig. 1B is a block diagram of a device according to the invention for selecting the spectral profile of a detected signal in a spectrally adapted frequency-time section, Fig. 2A is a flowchart of a method according to the invention for the signal-adapted selection of the signal waveform of a detected signal in a signal-adapted signal section, Fig. 2B is a flowchart of a method according to the invention for selecting the spectral profile of a detected signal in a spectrally adapted frequency-time section, Fig. 3A a time diagram with the signal to be displayed, with signal-adapted time periods and with statistical signal level distribution in the signal-adapted time periods, Fig. 3B shows a time diagram with the signal to be displayed, with signal-adapted higher-level and signal-adapted lower-level time periods and statistical signal level distribution in the signal-adapted higher-level and lower-level time periods, Fig. 3C a time diagram with a signal to be displayed, and with a first variant of the display of the signal, Fig. 3D a time diagram with the signal to be displayed, and with a second variant of the signal display, Fig. 3E a time diagram with a signal to be displayed with an inadmissible signal characteristic and with a first variant of the display of the time-varying signal with an inadmissible signal characteristic, Fig. 3F a time diagram with a signal to be displayed with an inadmissible signal characteristic and with a second variant of the display of the signal with an inadmissible signal characteristic, Fig. 4A, a frequency diagram with correct spectral response, Fig. 4B a frequency diagram with spectral response with frequency drift to higher frequencies and Fig. 4C a frequency diagram with spectral response with frequency drift to lower frequencies.

[0032] In the following, the method according to the invention for selecting a signal curve of a detected signal in a signal-adapted time period is described using the flow chart in Fig. 2A in combination with the device according to the invention for selecting a signal curve in a signal-adapted time period using the block diagram in Fig. 1A explained.

[0033] In the first method step S10A, a starting time t Start1 , t Start2 , t Start3,... for each signal section Δt1, Δt2, Δt3,... to be selected within the acquisition period of the signal to be measured s(t). For this purpose, at least one first event is defined, the time of which determines the start time. When defining several first events, the sequence of the times determined for the individual events is to be related to a user-defined reference sequence of the times belonging to the events for triggering the start time t belonging to the respective signal section Δt1, Δt2, Δt3,... to be selected. Start1 , t Start2 , t Start3 ,... necessary.

[0034] The following non-exhaustive list of trigger conditions known from oscilloscopes or signal analyzers can be used to define initial events: • Level exceedance or undershoot, • rising or falling signal edge, • specific edge steepness of a rising or falling signal edge, • specific duration of a signal pulse between rising and falling signal edge, • specific duration of a burst gap between two consecutive bursts, • certain level of frequency or phase drift in the signal, • specific analog modulation content or specific binary sequence (identifiable, for example, by cross-correlation of the demodulation result with a known analog signal or known binary sequence) and • periodic signal sections (identifiable, for example, by means of autocorrelation of the signal).

[0035] However, signal events in other signals that have a specific signal-technical relationship with the measurement signal and can therefore be derived from the measurement signal by signal processing and / or signal conversion can also serve as initial events: For example, all signals in a high-frequency receiver or in a high-frequency measuring device can be assigned to the digital baseband signal s BBi In the signal processing chain, preceding signals are used as further signals related to the measurement signal for the definition and evaluation of initial events. In addition, signals that are processed by the measuring device on one or more other parallel high-frequency paths, in analog or digital baseband paths of the measuring device, or signals that are obtained as intermediate products of a demodulation of one or more of these signals, can be used to evaluate these events. In the signal processing chain of a high-frequency measuring device - for example, a spectrum analyzer - in Fig. 1A is for example: • the injected high-frequency signal s HF (t), • the high frequency signal s HF(t) intermediate frequency signal s obtained by mixing in a mixer stage 2 fed by a local oscillator 1 ZF (t), • which is obtained by demodulation in a demodulator 3 from the intermediate frequency signal s ZF (t) obtained in the intermediate frequency signal s ZF (t) contained modulation content S ModZF (t), • the analogue intermediate frequency signal s ZF (t) digital intermediate frequency signal s obtained by analog-to-digital conversion in an analog-to-digital converter 4 ZF , • the digital intermediate frequency signal s ZFi via a quadrature modulator - consisting of the mixer 5 controlled by the local oscillator 6 I and the same oscillator 6 via a π2 -Phase shifter 7 controlled mixer 5 Q - obtained digital baseband signal s BBi , • the digital baseband signal s BBiby demodulation in a further demodulator 8 obtained in the digital baseband signal s BBi contained modulation content sModBBi or • the ideal signal obtained from a demodulation of the RF or baseband signal, which corresponds to a remodulated transmission signal using modulation or distortion parameters known in advance or obtained during demodulation.

[0036] Finally, further information can be found in Fig. 1A shown signal processing chain not included signals that are related to the digital baseband signal s BBi as the actual measurement signal in terms of signal technology. For example, signals in a signal processing chain in Fig. 1A signals generated in a complementary signal processing chain in a radio-frequency transmitter or in a radio-frequency signal generator or in additional signal processing units, each containing a specific signal characteristic of one of the above-mentioned signals, can be used. The radio-frequency transmitter can provide this signal, for example, via a parallel RF or analog or digital interface.

[0037] Finally, the activation of an external trigger signal can be used as a further “signal event”.

[0038] In addition to these “signal events” occurring in the measurement signal or in other signals that have a signal-technical or signal-theoretical relationship with the measurement signal, a “time event” in a timer can also be used as the first event.

[0039] A "time event" can be an absolute point in time - for example, the time 8:44 a.m. 12 seconds 34 milliseconds - or a point in time referenced to another absolute point in time by specifying a time period - for example, a pulse rate with a known standardized pulse period, in which a point in time referenced to the initialization time is determined from the number of pulses counted since the initialization time (for example, PPS rate in GPS). The timer can be an external timer - GPS rate - or an internal timer - rate of a clock in the device of the Fig. 1A integrated timer.

[0040] While the detection of first events in the form of “signal events” in one detector unit 90, 91, 92, 93, 94, ..., 9 N-1which includes the definition of the first event, the identification of the first event and the determination of the corresponding time, the detection of first events in the form of “time events” in a detector unit 9 N solely from the definition of the first event and the identification of the point in time to be identified.

[0041] The times corresponding to each of the first events are forwarded as time information—for example, as a time stamp—to a comparison unit 10. The comparison unit 10 incorporates a unit 16 consisting of individual comparators and a downstream logic unit 17. The comparators not only use a hard threshold decision but also optionally have a defined hysteresis. The unit 16, consisting of individual comparators, receives 90, 91, 92, 93, 99,.....9 from each detector unit. N-1 , 9 NThe time determined for each identified first event is compared with the time determined for each identified event for each other identified event, taking into account a temporal tolerance defined by hysteresis. The respective determined state of the comparison is converted into a logical state of a binary signal.The binary signals of all these comparisons are fed to the logic unit 17, in which a programmable logic is implemented which corresponds to the reference sequence - sequence - of the times belonging to each event, as defined by the user. The logic unit 17 generates a binary output signal which is activated when there is identity between the reference sequence defined by the user and the determined sequence, which is mapped by the assignment of the binary signals generated by the unit 16, and which indicates the start time t. Start1 , t Start2 , t Start3 ,... for a signal section Δt1,Δt2,Δt3,... to be selected in the measured signal s(t) - here in the digital baseband signal s BBi - signaled.

[0042] By identifying a starting time t Start1, t Start2 , t Start3, for a signal section Δt1,Δt2,Δt3,... to be selected in the measured signal s(t), in the next method step S20A in a signal evaluator 11, the online determination of deterministic and / or statistical signal characteristics in the signal curve of the measured signal s(t) within the respectively selected signal section Δt1,Δt2,Δt3,... between the identified start time t Start1 , t Start2 , t Start3 and an end time t yet to be identified End1 , t End2 , t End3 ,.... The signal evaluator 11 receives from the comparison unit 10 the starting time t belonging to the time period Δt1,Δt2,Δt3,... of the measured signal s(t) to be selected Start1 , t Start2 , t Start3 and end time E End1 , t End2 , t End3 ,...

[0043] Deterministic signal characteristics result from the following, incomplete compilation of deterministic signal characteristics: • Edge steepness and rise time of a rising signal edge, • Edge steepness and fall time of a falling signal edge, • Signal duration of a time-limited signal pulse, • Duration of a signal gap between two consecutive signal pulses, • Delay time of a signal edge compared to a defined point in time, • Ratio of rise and fall time of the two signal edges to the signal duration of the signal pulse and • Ratio of positive to negative signal levels.

[0044] Statistical signal parameters result from the following, incomplete compilation of statistical signal parameters: • maximum measured signal level, • minimum measured signal level, • arithmetic mean of the measured signal levels (AV value) and • Effective value of the measured signal levels (Root Mean Square (RMS) value).

[0045] These signal parameters can be calculated, for example, using a sliding scale with an adjustable averaging length or between both events. Signal analysis is not limited to signal level but could also include other signal parameters, such as amplitude distribution, phase, instantaneous frequency, or frequency distribution.

[0046] To continuously record and determine the deterministic and / or statistical parameters, they are checked for validity against user-defined reference values. If one or more of the determined deterministic and / or statistical signal parameters lie outside the validity range defined by the respective reference values, this deterministic and / or statistical signal parameter is marked as invalid.

[0047] In the next method step S30A, equivalent to the determination of the starting time t belonging to the signal section Δt1,Δt2,Δt3,... of the measured signal s(t) to be selected, Start1 , t Start2 , t Start3 according to method step S10A, the determination of the respective end time t End1 , t End2 ,t End3,.... For this purpose, second events and their temporal order, i.e. temporal sequence, are defined. Second events can in turn be “signal events” that occur in the signal s(t) to be measured or in other signals that are related to the signal s(t) to be measured in terms of signal technology or signal theory, or in an external trigger signal, or “time events” in a timer. However, these second events must each be related to at least one of the previously defined first events. Typically, this is a time relationship. The second event must, for example, be in a time interval that is defined by a start that lies a certain period of time away from the time of a first event, and by an end that lies a certain other period of time away from the time of a first event.

[0048] The definition and detection of the second events as well as the determination of the corresponding times takes place in the detector units 90,91,92,93, 94,...,9 N-1 and 9 N , whereby here too, temporal tolerances can be defined using adjustable hysteresis. The determination of the temporal order - the sequence - of the times corresponding to the individually identified second events and the comparison of such a determined order of times corresponding to the second events with a user-defined reference order of times corresponding to the individual second events to determine the respective end time t End1 , t End2 , t End3 ,... of the signal section Δt1, Δt2, Δt3,... of the measured signal s(t) to be selected is again carried out in the comparison unit 10, which generates a second binary output signal that indicates the respective end time tEnd1 , t End2 , t End3 ,... of the signal section Δt1,Δt2,Δt3,... to be selected.

[0049] By identifying an end time t End1 t End2 , t End3 ,... for each signal section Δt1, Δt2, Δt3,... of the measured signal s(t) to be selected, a first signal section is determined to be selected and displayed on a display device 12. If, for the signal s(t) to be measured, the first signal sections Δt1, Δt2, Δt3,... to be selected are determined based on their start and end times t Start1 , t Start2 , t Start3 ,... and t End1 ,t End2 , t End3 ,... determined, the result is Fig. 3A signal curve s to be displayed on the display device 12 Disp (t) with the signal level distribution s determined by the signal evaluator 11 Start (t) in the individual first signal sections to be selected Δt1,Δt2,Δt3,...

[0050] In the next method step S40A, the individually selected first signal sections Δt1, Δt2, Δt3,... are adapted to the second signal sections to be actually displayed on the display device 12, which are each determined with regard to the starting times t Start1 ,t Start2 , t Start3 ,... and the determined end times t End1 , t End2 , t End3 ,... are each shortened or extended in order to concentrate the representation on shortened time periods Δt1',Δt2',Δt3',... with relevant signal characteristics in the case of a shortening of the signal sections or, in the case of an extension of the time periods Δt1,Δt2,Δt3,... an extension of the representation to time periods Δt1',Δt2',Δt3',... extended by edge areas with relevant signal characteristics also in the edge areas.

[0051] In Fig. 3C are extended second signal sections Δt1', Δt2', Δt3',... compared to the selected first signal sections Δt1, Δt2, Δt3,... and the signal curves S selected in the extended second signal sections Δt1', Δt2', Δt3',... and displayed on the display device 12 Disp (t) of the measured signal s(t), while Fig. 3D the second signal sections Δt1', Δt2', Δt3',... shortened compared to the selected first signal sections Δt1, Δt2, Δt3,..., and the signal curves s selected in the shortened second signal sections Δt1', Δt2', Δt3',... and displayed on the display device 12 Disp (t) of the measured signal s(t).

[0052] From the measurement signal s(t) continuously read into a cyclic buffer memory 13 - here the digital baseband signal s BBi - the individual signal curves - sample values {sBBi}tEnd1tStart1,{sBBi}tEnd2tStart2,{sBBi}tEnd3tStart3,... - in the respectively determined and by their starting time t Start1 , t Start2 , t Start3 ,... and its end time t End1 ,t End2 ,t End3 ,... limited signal sections Δt1, Δt2, Δt3,... are selected and transferred to a display memory 14. For this purpose, the comparison unit 10 divides the starting times t determined for the selected signal sections Δt1, Δt2, Δt3,... as synchronously as possible. Start1 , t Start2 , t Start3 ,... and end times F End1 , t End2 , t End3 ,... to the cyclic buffer memory 13. In addition, the start and end times t corresponding to the selected signal sections Δt1, Δt2, Δt3,... are stored. Start1, t Start2 , t Start3 ,... and t End1 , t End2 , t End3,... from the comparison unit 10 and the deterministic and / or statistical signal parameters determined in the respective selected signal section Δt1,Δt2,Δt3,... are transferred from the signal evaluator 11 into the display memory 14.

[0053] In a subsequent method step S50A, in the case of a deterministic and / or statistical signal characteristic that is classified as inadmissible by signal evaluator 11, a logic unit integrated in the display memory 14 or connected to the display memory 14, in a first variant according to Fig. 3E, the signal curve of the measurement signal s(t) belonging to the corresponding selected time period is masked out before being displayed in the display device 12. The burst duration of the burst of the measurement signal s(t) selected in the time period Δt2 is smaller than a predetermined reference value, so that the burst to be displayed in the time period Δt2 in the displayed measurement signal s Disp(t) does not appear. In a second variant according to Fig. 3F, in the case of an inadmissible deterministic and / or statistical signal characteristic, the signal waveform of the measurement signal s(t) belonging to the selected time period is separately marked by the logic unit in the display memory 14. The burst with too short a burst duration is not displayed in the displayed measurement signal s Disp (t) marked with dashed lines.

[0054] In a subsequent optional method step S60A, the signal curves belonging to the selected time periods Δt1, Δt2, Δt3,... of the measurement signal s(t) can be subjected to further signal analysis. In this process, in the respectively determined time periods Δt1, Δt2, Δt3,... of the measurement signal s(t), which each serve as the higher-level signal periods Δt1, Δt2, Δt3,..., Fig. 3B suitable subordinate signal sections Δt 1,1 , Δt 1,2 , Δt 1,3 , Δt 2,1 , Δt 2,2, Δt 2,3 , Δt 3,1 , , Δt 3,1 , Δt 3,2 , Δt 3,3 ,...,Δt 1,1 ', Δt 1,2 ', Δt 1,3 ', Δt 2,1 ', Δt 2,2 ', Δt 2,3 ', Δt 3,1 ', Δt 3,2 ', Δt 3,3 '... of the measurement signal s(t). To determine these time periods, which are subordinate to a higher-level time period Δt1, Δt2, Δt3,..., the respective start and end times t Start1 , Δt Start2 ', Δt Start3 ,... and t End1 , t End2 , t End3 ,... are determined. For this purpose, first and second events and a reference sequence for the times corresponding to the first and second events must be defined in analogy to the higher-level time periods Δt1, Δt2, Δt3,... The detection of these first and second events takes place in a signal post-processing from the sample values ​​stored in a local memory 15 parallel to the display memory 14. {sBBi}tEnd1tStart1,{sBBi}tEnd2tStart2,{sBBi}tEnd3tStart3,... of the signal waveforms of the measurement signal s(t) belonging to the respective higher-level time periods Δt1, Δt2, Δt3,... For this signal post-processing, a separate, Fig. 1A, a detection and comparison unit (not shown) is provided. The selection of subordinate time periods within respective higher-level time periods of the measurement signal s(t) can also be performed iteratively in several stages to obtain time periods with signal contents that are each abstracted or concretized to different degrees.

[0055] In the final process step S70A, the selected and correspondingly adjusted signal curves s are displayed Disp (t) in the individual selected time periods Δt1,Δt2,Δt3,... of the measured signal s(t) with indication of the corresponding start and end times t Start1 , t Start2 , t Start3 ,... and t End1 ,t End2, t End3 ,... as well as in the individual time periods Δt1,Δt2,Δt3,... identified deterministic and / or statistical signal parameters on a display device 12.

[0056] In the following, the method according to the invention for selecting a spectral profile of a detected signal in spectrally adapted time-frequency sections is described using the flow chart in Fig. 2B in combination with the device according to the invention for selecting a spectral profile of a detected signal in spectrally adapted time-frequency sections based on the block diagram in Fig. 1B. Due to the extensive equivalence to the method and device according to the invention in the time domain, a restriction to a substantially schematic representation is made, which primarily shows the differences to the time domain: In the first process step S10B, the identification of starting times t Start1, t Start2 , t Start3 ,... for the frequency sections Δf1, Δf2, Δf3,... of the spectrum S(f) of the measured signal s(t) to be selected in the respective time periods Δt1, Δt2, Δt3,... Here, too, user-defined first events and a user-defined reference sequence of the times corresponding to the defined first events are used. The first event, for example, is an event in the spectrum S(f) of the measured signal s(t) that leads to a violation of a predefined frequency trigger mask. In the example of Fig. 4B this is the frequency drift of the spectrum S(f) of the measured signal s(t) from the Fig. 4A shows the correct initial situation without violation of the frequency trigger mask towards higher frequencies, which leads to an erroneous situation with a violation of the frequency trigger mask.

[0057] In the example of Fig. 1B, for example, this first event occurs in the spectrum S in (f) which is obtained from the measurement signal s by analog-digital conversion in an A / D converter 21 and subsequent Fourier transformation in a fast Fourier transformer 22 in (t) is obtained at the output of the signal generator 20. Further first events can be additionally used to identify starting times t Start1 , t Start2 , t Start3 ,... ,... for the frequency sections Δf1, Δf2, Δf3,... of the spectrum S(f) of the measured signal s(t) to be selected in the respective time period Δt1, Δt2, Δt3,... are used:

[0058] In the example of Fig. 1B, the discretized spectrum S outi a signal s out (t) at the output of a sensor connected to the measuring signal s in(t) excited filter 23 is used to identify a first event in the spectrum of another signal that is related to the measurement signal s(t) both in terms of signal technology and signal theory. The discretized spectrum S outi at the output of the filter 23 is equivalently obtained by analog-digital conversion in an A / D converter 24 and subsequent Fourier transformation in a fast Fourier transformer 25 from the signal s out (t) is obtained at the output of filter 23.

[0059] Additionally, an external trigger signal or a specific time event in an internal or external timer can be used.

[0060] The spectra S ini or S outi of the two signals s in (t) or s out (t) of the example of Fig. 1B are examined for the occurrence of first events in detector units 261 and 262, respectively. For the general case of multiple spectra to be considered, additional detector units 263, 262,..., 26 N-1 A detector unit 260 is provided for the detection of an activated external trigger signal and a detector unit 26 is provided for the detection of a specific time event in an internal or external timer. N provided.

[0061] With the identification of a first event, the respective detector unit 260,261,262,...,26 N also the determination of the time point corresponding to the first event, which is then fed to a comparison unit 27. In the comparison unit 27, in equivalent to the case of triggering in the time domain, Fig. 1A the identification of a starting time t Start1 , t Start2 , t Start3,... for a frequency section Δf1,Δf2,Δf3,... to be selected in the time section Δt1,Δt2,Δt3,... of the spectrum S(f) of the measured signal s(t).

[0062] By identifying a starting time t Start1 , t Start2 , t Start3 ,... for a time period Δt1,Δt2,Δt3,... the user simultaneously defines an associated frequency range Δf1,Δf2,Δf3,... which is typically generously dimensioned and is intended to cover all possibly occurring spectral components S(f) of the signal s(t) to be acquired.

[0063] By identifying a starting time t Start1 , t Start2 , t Start3,... for a frequency section Δf1,Δf2,Δf3,... of the spectrum S(f) of the measured signal s(t) to be selected in the time section Δt1,Δt2,Δt3,..., in the subsequent method step S20B, an evaluation of the spectrum S(f) of the measured signal s(t) in the selected frequency range Δf1,Δf2,Δf3,... between the determined start time t Start1 , t Start2 , t Start3 ,... and an end time t still to be determined End1 , t End2 , f End3 , .... according to deterministic and / or statistical spectral parameters.

[0064] Deterministic spectral parameters result from the following, incomplete compilation of deterministic spectral parameters: • specific bandwidth of a band-limited spectrum, • specific bandwidth of a gap or band stop in the spectrum • certain level of a spectral line and • Level ratio of two adjacent spectral lines.

[0065] Statistical spectral parameters result from the following, incomplete compilation of statistical spectral parameters: • maximum measured level in the spectrum, • minimum measured level in the spectrum, • arithmetic mean of the measured levels in the spectrum (AV value) and • Effective value of the measured levels in the spectrum (Root Mean Square (RMS) value).

[0066] With the continuous recording of deterministic and / or statistical spectral parameters, they are also evaluated for permissible deterministic and / or statistical spectral parameters by comparison with user-defined reference values. Upon identification of impermissible deterministic and / or statistical spectral parameters, these are separately marked by the spectral evaluator.

[0067] In the next process step S30B, the end times f are identified End1 , t End2 , I End3 ,.... of the respective time periods Δt1, Δt2, Δt3,..., up to which the spectrum S(f) of the measured signal s(t) is recorded in the respective frequency range Δf1, Δf2, Δf3,... The identification of the end times f End1 , is carried out analogously to the identification of the corresponding start times t Start1 , t Start2 , F Start3 , ... based on the detection of at least one second event defined by the user, which is related to at least one first identified event, and a reference sequence defined by the user for the times corresponding to the second events.

[0068] In Fig. 4C shows a second event that occurred after the one in Fig. 4B and is therefore related to the first event, and a frequency drift of the spectral response S(f) of the measured signal s(t) compared to the correct initial situation in Fig. 4A towards lower frequencies. The violation of the frequency trigger mask by the Fig. 4C, which thus shows the end time t End1 , t End2 , t End3 , .... of a respective time period Δt1,Δt2,Δt3,...

[0069] In the next process step S40B, the starting time can be determined by tStart1,tStart2,tStart3,... and the respective end time tEnd1,tEnd2,tEnd3,.... certain first time period Δt1,Δt2,Δt3,... by shortening or lengthening the spectral curve in the range of the starting time specified by the user tStart1,tStart2,tStart3,... and the end time tEnd1,tEnd2,tEnd3,.... to an extended or shortened second period Δt1',Δt2',Δt3',... be adapted for display on a display device 31. Analogously, the associated first frequency ranges Δf1,Δf2,Δf3,... of the spectrum S(f) of the measured signal s(t) to be selected corresponding to second frequency ranges Δf1',Δf2',Δf3',... ia be narrowed down. By defining the respective second signal sections and / or frequency sections, the spectral values ​​S, of the measured signal s(t) stored in a data buffer 29 after digitization and Fourier transformation are used to determine the values ​​within the selected second time sections Δt1',Δt2',Δt3',... and second frequency sections Δf1',Δf2',Δf3',... spectral values ({Si}tStart1tEnd1,{Si}tStart2tEnd2,{Si}tStart3tEnd3,...) of the measured signal s(t) is read out and stored in a display memory 30.

[0070] In the subsequent method step S50B, if inadmissible deterministic and / or statistical spectral parameters are present within a respective selected frequency section Δf1,Δf2,Δf3,... In a first embodiment, the masking of the selected spectral values ({Si}tStart1tEnd1,{Si}tStart2tEnd2,{Si}tStart3tEnd3,...) of the respective frequency section Δf1,Δf2,Δf3,... or in a second embodiment, the separate marking of the selected spectral values ({Si}tStart1tEnd1,{Si}tStart2tEnd2,{Si}tStart3tEnd3,...) of the respective frequency section Δf1,Δf2,Δf3,....

[0071] The following optional process step S60B includes the determination of subordinate frequency sections Δf1,1,Δf1,2,Δf1,3,Δf2,1,Δf2,2,Δf2,3,Δf3,1,Δf3,2,Δf3,3,...,Δf1 ,1'.Δf1,2',Δf1,3',Δf2,1',Δf2,2',Δf2,3',Δf3,1',Δf3,2',Δf3,3'... within an already determined higher frequency section Δf1,Δf2,Δf3,...,Δf1',Δf2',Δf3',... with a view to a finer subdivision of the spectral analysis and a more detailed analysis of the spectrum recorded in the frequency domain and / or the determination of subordinate time periods Δt1,1,Δt1,2,Δt1,3,Δt2,1,Δt2,2,Δt2,3,Δt3,1,Δt3,2,Δt3,3,...,Δt1 ,1'.Δt1,2',Δt1,3',Δt2,1',Δt2,2',Δt2,3',Δt3,1',Δt3,2',Δt3,3'... within an already determined period of time Δt1,Δt2,Δt3,...,Δt1',Δt2',Δt3' with a view to a finer subdivision of the spectral observation and a more detailed analysis of the recorded spectrum in the time domain, which can be carried out more effectively in the refined subdivision of the spectrum.

[0072] Finally, in the final process step S70B, the data recorded in the individual time periods Δt1,Δt2,Δt3,...,Δt1',Δt2',Δt3' and the corresponding frequency sections Δf1,Δf2,Δf3,... or Δf1',Δf2',Δf3',... selected discretized spectral values ({Si}tStart1tEnd1,{Si}tStart2tEnd2,{Si}tStart3tEnd3,...) of the measured signal s(t) in a discretized spectrum S to be represented as a spectrogram DISP , with additional information about the corresponding start and end times tStart1,tStart2,tStart3,... and tEnd1,tEnd2,tEnd3,... and possibly in the respective selected frequency section Δf1,Δf2,Δf3,... or Δf1',Δf2',Δf3',... identified deterministic and / or statistical spectral characteristics are displayed on a display device 31.

[0073] The invention is not limited to the illustrated embodiments of the invention. The invention also covers any combination of the inventive triggering with an additional trigger variant known from the prior art (e.g., a time delay of the start and end times for selecting the signal or spectral curve of the acquired signal by a time delay defined by the user).

Claims

[1] Method for selecting at least one signal section extending over a first signal section (Δt1,Δt2,Δt3,...) ({si}tEnd1tStart1,{si}tEnd2tStart2,{si}tEnd3tStart3,...) of a detected signal (s(t)) with the following process steps: • Determine a start time (tStart1,tStart2,tStart3,...) of the respective first signal section (Δt1,Δt2,Δt3,...) from at least one point in time which corresponds to a defined first event occurring in the signal (s(t)) or in at least one signal derivable from the signal (s(t)) or in a timer or in an external trigger signal, • Determine an end time (tEnd1,tEnd2,tEnd3,...) of the respective first signal section (Δt1,Δt2,Δt3,...) from at least one point in time which belongs to a defined second event which has occurred in the signal (s(t)) or in at least one signal derivable from the signal (s(t)) or in the timer or in the external trigger signal and which is related to at least one first event, and • Selecting the signal curve ({si}tEnd1tStart1,{si}tEnd2tStart2,{si}tEnd3tStart3,...) of the detected signal (s(t)) in the respective first signal section (Δt1,Δt2,Δt3,...), where the signals in the respective first signal sections (Δt1,Δt2,Δt3,...) selected signal curves ({si}tEnd1tStart1,{si}tEnd2tStart2,{si}tEnd3tStart3,...) of the acquired signal (s(t)) with the respective first signal sections (Δt1,Δt2,Δt3,...), corresponding start and end times (tStart1,tStart2,tStart3,...,tEnd1,tEnd2,tEnd3,...) displayed on a display device (12), wherein in the respective first signal section (Δt1,Δt2,Δt3,...) deterministic and / or statistical parameters of the detected signal (s(t)) are determined and compared with associated specified reference values ​​for admissibility, and whereby a selection and display of the respective first signal section (Δt1,Δt2,Δt3,...) on the display device (12) only when the respective first signal section (Δt1,Δt2,Δt3,...) has permissible deterministic and / or statistical parameters. [2] Method for selection according to claim 1, characterized bythat the temporal sequence of the times which occur at a respective defined first or second event in the signal (s(t)) or in at least one signal derivable from the signal (s(t)) or in a timer or in an external trigger signal are each compared with a defined reference sequence. [3] Method for selection according to claim 1 or 2, characterized by that the points in time belonging to a first or second event occur at defined time intervals with defined time tolerances to one another. [4] Method for selection according to claim 1, characterized by that on the display device (12) additionally the values ​​in the respective first signal sections (Δt1,Δt2,Δt3,...) determined deterministic and / or statistical parameters are presented, whereby inadmissible deterministic and / or statistical parameters are marked separately. [5] Method for selection according to one of claims 1 to 4, characterized by that every first or second event that occurs in the timer is an absolute point in time. [6] Method for selection according to one of claims 1 to 4, characterized by that each first or second event occurring in the timer is a time that is referenced to the time of another first or second time event. [7] Method for selection according to claim 1, characterized by that each signal section to be displayed on the display device (12) and belonging to the respective first signal section (Δt1,Δt2,Δt3,...) corresponding signal curve ({Si}tEnd1tStart1,{Si}tEnd2tStart2,{Si}tEnd3tStart3,...) of the detected signal (s(t)) in an associated second signal section (Δt1',Δt2',Δt3',...) which is shown opposite the respective first signal section (Δt1,Δt2,Δt3,...) shortened or lengthened. [8] Method for selection according to one of claims 1 to 7, characterized by that the determined first or second signal sections (Δt1,Δt2,Δt3,...,Δt1',Δt2',Δt3',...) of the recorded signal (s(t)) as higher-level signal sections (Δt1,Δt2,Δt3,...,Δt1',Δt2',Δt3',...) serve in which subordinate signal sections are processed in a signal post-processing (Δt1,1,Δt1,2,Δt1,3Δt2,1,Δt2,2,Δt2,3,Δt3,1,Δt3,2,Δt3,3...,Δt1, 1',Δt1,2',Δt1,3',Δt2,1',Δt2,2',Δt2,3',Δt3,1'Δt3,2',Δt3,3'...) with signal curves of the recorded signal (s(t)) to be selected. [9] Method for selection according to claim 8, characterized by that the identification of subordinate signal sections (Δt1,1,Δt1,2,Δt1,3Δt2,1,Δt2,2,Δt2,3,Δt3,1,Δt3,2,Δt3,3...,Δt1, 1',Δt1,2',Δt1,3',Δt2,1',Δt2,2',Δt2,3',Δt3,1'Δt3,2',Δt3,3'...) within higher-level signal sections (Δt1,Δt2,Δt3,...,Δt'1,Δt2',Δt3',...) of the acquired signal (s(t)) is carried out in several iteration stages. [10] Method for selecting at least one of the first time periods (Δt1,Δt2,Δt3,...) and an associated first frequency section (Δf1,Δf2,Δf3,...) extending spectral curve ({Si}tStart1tEnd1,{Si}tStart2tEnd2,{Si}tStart3tEnd3,...) of a detected signal (s(t)) with the following process steps: • Determine a start time (tStart1,tStart2,tStart3,..) of the respective first period (Δt1,Δt2,Δt3,...) from at least one point in time, which corresponds to a defined first event occurring in the signal (s(t)) or in at least one signal derivable from the signal (s(t)) or in an external trigger signal or in a timer, • Determine an end time (tEnd1,tEnd2,tEnd3,...) of the respective first period (Δt1,Δt2,Δt3,...) from at least one point in time, which belongs to a defined second event occurring in the signal (s(t)) or in at least one signal derivable from the signal (s(t)) or in an external trigger signal or in a timer and which is related to at least one first event, and • Selecting the spectral curve ({Si}tStart1tEnd1,{Si}tStart2tEnd2,{Si}tStart3tEnd3,...) of the detected signal (s(t)) in the respective first time period (Δt1,Δt2,Δt3,...) and in the respective first frequency section (Δf1,Δf2,Δf3,...), whereby the respective first period (Δt1,Δt2,Δt3,...) and in the respective first frequency section (Δf1,Δf2,Δf3,...) selected spectral curves ({Si}tStart1tEnd1,{Si}tStart2tEnd2,{Si}tStart3tEnd3,...) of the acquired signal (s(t)) with the respective first time periods (Δt1,Δt2,Δt3,...) corresponding start and end frequencies (tStart1,tStart2,tStart3,...,tEnd1,tEnd2,tEnd3,...) displayed on a display device (31), whereby in the respective first period (Δt1,Δt2,Δt3,...) and in the respective first frequency section (Δf1,Δf2,Δf3,…) deterministic and / or statistical parameters of the detected signal (s(t)) are determined and compared with associated specified reference values ​​for admissibility, and where a selection and display of the respective spectral curve ({Si}tStart1tEnd1,{Si}tStart2tEnd2,{Si}tStart3tEnd3,…) of the detected signal (s(t)) in the respective first time period (Δt1,Δt2,Δt3,…) and in the respective first frequency section (Δf1,Δf2,Δf3,…) on the display device (31) only occurs if in the respective first time period (Δt1,Δt2,Δt3,…) and in the respective frequency section (Δf1,Δf2,Δf3,…) permissible deterministic and / or statistical parameters are available. [11] Method for selection according to claim 10, characterized bythat the temporal sequence of the times which occur at a respective defined first or second event in the signal (s(t)) or in at least one signal derivable from the signal (s(t)) or in a timer or in an external trigger signal are each compared with a defined reference sequence. [12] Method for selection according to claim 10 or 11, characterized by that the points in time belonging to a first or second event occur at defined time intervals with defined time tolerances to one another. [13] Method for selection according to claim 10, characterized by that the display device (31) additionally shows the data in the respective first time period (Δt1,Δt2,Δt3,…) and in the respective first frequency section (Δf1,Δf2,Δf3,…) determined deterministic and / or statistical parameters are presented, whereby inadmissible deterministic and / or statistical parameters are marked separately. [14] Method for selection according to claim 10, characterized by that each time period to be displayed on the display device (31) and for the respective first time period (Δt1,Δt2,Δt3,…) and to the respective first frequency section (Δf1,Δf2,Δf3,…) corresponding spectral curve ({Si}tStart1tEnd1,{Si}tStart2tEnd2,{Si}tStart3tEnd3,…) of the detected signal (s(t)) in a corresponding second time period (Δt1′,Δt2′,Δt3′,…) and in the respective second frequency section (Δf1′,Δf2′,Δf3′,…) which is shown in relation to the respective first period (Δt1,Δt2,Δt3,…) and the respective first frequency section (Δf1,Δf2,Δf3,…) are shortened or lengthened. [15] Method for selection according to one of claims 10 to 14, characterized by that the first or second time periods determined (Δt1,Δt2,Δt3,…,Δt1′,Δt2′,Δt3′,…) and first or second frequency sections (Δf1,Δf2,Δf3,...,Δf1',Δf2',Δf3',...) in the spectral curve of the recorded signal (s(t)) as higher-level time periods (Δt1,Δt2,Δt3,...,Δt1',Δt2',Δt3',...) and as higher frequency sections (Δf1,Δf2,Δf3,...,Δf1',Δf2',Δf3',...) serve in which subordinate time periods are processed in a signal post-processing (Δt1,1,Δt1,2,Δt1,3,Δt2,1,Δt2,2,Δt2,3,Δt3,1,Δt3,2,Δt3,3,...,Δt1 ,1'.Δt1,2',Δt1,3',Δt2,1',Δt2,2',Δt2,3',Δt3,1',Δt3,2',Δt3,3'...) and subordinate frequency sections (Δt1,1,Δt1,2,Δt1,3,Δt2,1,Δt2,2,Δt2,3,Δt3,1,Δt3,2,Δt3,3,...,Δt1 ,1'.Δt1,2',Δt1,3',Δt2,1',Δt2,2',Δt2,3',Δt3,1',Δt3,2',Δt3,3'...) with spectral curves of the acquired signal (s(t)) to be selected. [16] Method for selection according to claim 15, characterized by that the identification of subordinate time periods (Δt1,1,Δt1,2,Δt1,3,Δt2,1,Δt2,2,Δt2,3,Δt3,1,Δt3,2,Δt3,3,...,Δt1,1'.Δt1,2',Δt1,3',Δt2,1',Δt2,2',) and subordinate frequency sections (Δt1,1,Δt1,2,Δt1,3,Δt2,1,Δt2,2,Δt2,3,Δt3,1,Δt3,2,Δt3,3,...,Δt1 ,1'.Δt1,2',Δt1,3',Δt2,1',Δt2,2',Δt2,3',Δt3,1',Δt3,2',Δt3,3'...) within higher time periods (Δt1,Δt2,Δt3,...,Δt1',Δt2',Δt3'...) and higher frequency sections (Δf1,Δf2,Δf3,...,Δf1',Δf2',Δf3'...) of the acquired signal (s(t)) is carried out in several iteration stages. [17] Device for selecting at least one signal section extending over a first signal section (Δt1,Δt2,Δt3,...) extending signal curve ({Si}tEnd1tStart1,{Si}tEnd2tStart2,{Si}tEnd3tStart3,…) of a detected signal (s(t)) with one detector unit each (90,91,92,9 3, 9 4, ..., 9 N -1 ,9 N ) for identifying first and second events and the corresponding time in the signal (s(t)), in any signal derivable from the signal (s(t)), in an external trigger signal and in a timer, a comparison unit (10) for determining the respective first time period (Δt1,Δt2,Δt3,…) corresponding start and end times (tStart1,tStart2,tStart3,…,tEnd1,tEnd2,tEnd3,…) from the comparison of the temporal sequence of the times belonging to the first or second events with a reference sequence defined by the user, a cyclic buffer memory (13) for cyclical intermediate storage of the detected signal (s(t)), a display memory (14) for storing the data in the respective signal sections (Δt1,Δt2,Δt3,…) selected signal curves ({Si}tEnd1tStart1,{Si}tEnd2tStart2,{Si}tEnd3tStart3,…) of the acquired and buffered signal (s(t)) and an additional unit (11) for identifying deterministic and / or statistical parameters in the respective first signal sections (Δt1,Δt2,Δt3,…) of the detected signal (s(t)) and for evaluating the identified deterministic and / or statistical parameters with regard to admissibility, wherein a logic unit connected to the display memory (14) in the case of a deterministic and / or statistical parameter classified as inadmissible by the additional unit (11) evaluates the selected time period (Δt1,Δt2,Δt3,…) corresponding signal curve ({Si}tEnd1tStart1,{Si}tEnd2tStart2,{Si}tEnd3tStart3,…) of the detected signal (s(t)) in the display device (12) is separately marked or hidden. [18] Device for selecting at least one of the first time periods (Δt1,Δt2,Δt3,…) and an associated first frequency section (Δf1,Δf2,Δf3,…) extending spectral curve ({Si}tStart1tEnd1,{Si}tStart2tEnd2,{Si}tStart3tEnd3,…) of a detected signal (s(t)) with each with a detector unit (260,261,262,...,26 n ) for identifying first and second events and the corresponding time in the spectrum of the acquired signal (s(t)), in the spectrum of each signal derivable from the signal (s(t)), in an external trigger signal and in a timer, a comparison unit (27) for determining the respective first time period (Δt1,Δt2,Δt3,…) corresponding start and end times (tStart1,tStart2,tStart3,…,tEnd1,tEnd2,tEnd3,…) from the comparison of the order of the times belonging to the first or second events with a reference order defined by the user, a buffer memory (29) for temporarily storing the spectrum of the detected signal (s(t)), a display memory (30) for storing the respective first time period (Δt1,Δt2,Δt3,…) and in the corresponding first frequency section (Δf1,Δf2,Δf3,…) ) selected spectral curves ({Si}tStart1tEnd1,{Si}tStart2tEnd2,{Si}tStart3tEnd3,…) from the spectrum of the detected signal (s(t)) and an additional unit (28) for identifying deterministic and / or statistical parameters in the respective first frequency sections (Δf1,Δf2,Δf3,...) of the spectrum of the detected signal (s(t)) and for evaluating the identified deterministic and / or statistical parameters with regard to admissibility, wherein a logic unit connected to the display memory (30) in the case of a deterministic and / or statistical parameter classified as inadmissible by the additional unit (28) determines the frequency section selected for the respective frequency section (Δf1,Δf2,Δf3,...) corresponding spectral curve ({Si}tStart1tEnd1,{Si}tStart2tEnd2,{Si}tStart3tEnd3,...) in the display device (31) is shown or hidden separately. [19] Selection device according to claim 17 or 18, characterized by that the logic unit is integrated into the display memory (14, 30).

Images