336 results about "Time spectrum" patented technology

A channel plan with a corresponding test plan are implemented in connection with a plurality of nodes that communicate signals. The channel plan has one or more predefined specifications for each of one or more signal channels on each of the nodes. The channel plan enables a monitoring system to, among other things, conduct automatic periodic test plans, comprising tests, on the nodes, based upon the predefined data specified in the channel plan. Each test plan prescribes measurement of at least one signal parameter, pertaining to one or more nodes as a whole and / or to one or more channels contained within the nodes. The monitoring system includes a spectrum analyzer, a switch enabling the spectrum analyzer to interface with the nodes, and a controller controlling the switch and the spectrum analyzer. The controller is configured to enable creation of and display the channel plan and test plan, based upon user inputs. Notably, the controller can be configured to compare results from tests with alarm limits, specified in the test plan, to control the spectrum analyzer to perform a failure time spectrum scan when one or more test results exceed one or more alarm limits, and to generate a plot of power amplitude versus frequency over the frequency spectrum of the node at issue.

A wireless network allocates special base-station resources to mobile user devices in the inter-station overlapping fringes that are also serviceable by a neighboring base-station. Included-fringe mobile user devices interoperate with a base-station that has been assigned to handle those particular mobile user devices. If a central controller has assigned another base-station to service them, they are referred to as an excluded-fringe mobile user device. Mobile user devices that are not visible to other base-stations can access the general base-station resources, but not any of the special base-station resources reserved for overlapping fringe area use. If no mobile user devices are operating in the overlapping fringe areas, then all the special base-station resources can be returned to the main pool of general base-station resources. A global scheduler, one part of split-level scheduling, in the central controller determines the amount of special and general base-station resources. A local scheduler, another part of split-level scheduling, in the base station do fair-sharing of its resources among user devices within their allocated type of resources. Base station can use special base-station resource of others with electronically steering antennas together with network wide awareness of central controller to optimize the spectrum usage

In order to analyze an information signal, a significant short-time spectrum is extracted from the information signal, the means for extracting being configured to extract such short-time spectra which come closer to a specific characteristic than other short-time spectra of the information signal. The short-time spectra extracted are then decomposed into component signals using ICA analysis, a component signal spectrum representing a profile spectrum of a tone source which generates a tone corresponding to the characteristic sought for. From a sequence of short-time spectra of the information signal and from the profile spectra determined, an amplitude envelope is eventually calculated for each profile spectrum, the amplitude envelope indicating how a profile spectrum of a tone source all in all changes over time. The profile spectra and all the amplitude envelopes associated therewith provide a description of the information signal which may be evaluated further, for example for transcription purposes in the case of a music signal.

The invention aims to provide a method for analyzing and evaluating measure point precision of a gearbox in a vibration acceleration sensor, aiming at analyzing a plurality of sets of collected sample data at different measure point positions and a certain fixed position under various working conditions. The method comprises the following steps of: performing synchronous data collection of a vibration signal and a rotation speed signal of the gearbox by taking the rotation speed signal as the main control through the vibration acceleration sensor; extracting time domain characteristic values,analyzing and the evaluating the time domain characteristic values, and drawing an RMS (root mean square)-Peak picture and a box plot; calculating an order time spectrum and analyzing and evaluating the order time spectrum; and analyzing the result through time domain analysis and frequency domain analysis methods to form an analysis and evaluation result of the measure point precision of the gearbox. According to the method disclosed by the invention, the order time analysis on the vibration signal of a gearbox shell can be realized; optical positions better representing various fault characteristics can be obtained by analyzing the time domain and frequency domain characteristics; the measurement error is reduced; the installation position of the vibration sensor is determined; and an assurance is provided for the accuracy of the fault diagnosis.

The invention provides a remote sensing monitoring method for water quality parameters of a shallow aquatic plant lake. The method comprises the following steps: acquiring time series satellite remotesensing image data of a lake area, and extracting a water body by use of a normalized differential water body index MNDWI; calculating a normalized differential vegetation index NDVI and a normalizeddifferential aquatic plant index NDAPI of the water body to quickly extract an aquatic plant covering zone and aquatic plant growth conditions; building a vegetation index time spectrum cube image ofthe aquatic plant covering zone to realize fine partition of aquatic plant species; using the water quality indication effect of the aquatic plant species and the aquatic plant growth conditions forpartitional and seasonal inversion of the water quality parameters of the aquatic plant covering zone; and forming a spatial distribution map of the water quality parameters. According to the method proposed by the invention, the aquatic plant species on a remote-sensing satellite image can be accurately identified according to unique phenological characteristics of ground features and remote sensing vegetation index time spectrum analysis technology, the water quality parameters of the shallow aquatic plant lake can be simply and quickly inverted.

Logic analyzers and real-time spectrum analyzers use real-time statistical processes as a basis for creating a trigger. The statistical displays within a test and measurement system such as a Logic Analyzer (LA) or Spectrum Analyzer (SA) or other instrument are used in a user interface to define a trigger based on the statistical event itself. In brief, the invention is a Real Time Statistical trigger established by the user through a direct interaction with the Real Time Statistics displays. This interaction can be via a graphical user interface, or the user interface can employ a non-visible display (e.g., a speaker) or input device (e.g., a microphone).

The invention discloses a variable-speed rolling bearing fault recognition method based on an order enveloping time-frequency energy spectrum. Short time Fourier transform is carried out on low-band signals in acquired rolling bearing vibration signals under a variable speed to acquire a short time spectrum, and in combination of a peak search method, instantaneous rotating frequency estimation for a bearing reference axis harmonic component is acquired; then, through a fast kurtosis spectrum technique, the optimum resonance frequency band pass parameters of the vibration signals are determined, the band pass signals after band pass filtering are subjected to Hilbert transform to acquire enveloping signals, and through short time Fourier transform, an enveloping time-frequency energy matrix is obtained; and an extraction interval is set, an order enveloping energy calculation path is obtained, order enveloping time-frequency energy in different orders is calculated through the energy calculation path and the enveloping time-frequency energy matrix, an order enveloping time-frequency energy spectrum is acquired, and through comparison between the order corresponding to the maximum order enveloping time-frequency energy and a fault order, bearing fault recognition is realized. The method has the advantages that the calculation efficiency is high, and requirements of real-time monitoring in actual engineering application can be met.

The invention discloses a method used for detecting and suppressing transient noise and relates to the technical field of acoustic signal processing. The method used for detecting and suppressing transient noise solves the technical problems that an existing method is poor in real time performance and poor in suppression effect on transient noise. According to the method, acoustic signals are picked up through a microphone first and then preprocessed, residual steady noise is neglected, preprocessed acoustic signals x(n) are obtained, the short-time spectrum of each frame of x(n) is calculated through fast Fourier transform, transient noise detection is performed on x(n) with a transient noise detection method based on high sampling or auto-spectrum coherence, robust suppression is performed on the transient noise with a protection method based on voice harmonic waves and voice and voice frequency and time frequency continuity, the final transient noise suppression gain of each frame is calculated, and finally all the frames are reconstructed through time domain overlap-add. The method is suitable for voice and acoustic signals and can be applied to both a real-time voice and voice frequency communication system and non-real-time voice and voice frequency signal enhancement.

The presence of trace molecules in air is often determined using a well-known device called an ion mobility spectrometer. Such devices are commonly utilized in the fields of explosives detection, identification of narcotics, and in applications characterized by the presence of very low airborne concentrations of organic molecules of special interest. The sensitivity of such instruments is dependent on the method of gas sampling utilized. The vortex sampling nozzle consists of an intake gas flow and a separate coaxial heated, emitted gas flow that is deflected to move with a circular motion. A heated vortex sampling nozzle can greatly improve the sampling efficiency for low volatility target molecules, particularly when the sampling needs to be performed at a distance from the air intake and the vapor pressure of the target molecules is very low. Additionally, the vortex air may contain one or more additional substances that promote vaporization, combine with the target molecule, or provide a known marker in the ion mobility time-of-flight spectrum.

The invention relates to a computer real-time analysis system for singing and playing, comprising a segmental package-inspection device of an acoustical signal, a real-time recording, storing, displaying and playing device of acoustical signal time-domain data, a device for drawing time-frequency-intensity joint picture with fast Fourier transform for a short time, a device for drawing time-frequency real-time spectrum with fast Fourier transform for a short time, a device for recognizing fundamental tone, harmonic tone and resonance peak of sound, analysis processing and displaying, a devicefor rhythm recognition of the sound, analysis processing and displaying, a device for analyzing and sorting-out into an opern and displaying according to the information such as fundamental tone, libretto, rhythm and tuning systems; and a device for modifying, recording, storing, evaluating, displaying, playing and transmitting an acoustical time-domain and frequency-domain signal. The system carries out computer real-time visualization and systematical and quantitative measurement and test to vocal music and instrumental music, and sing state and playing state can be recognized and guided byadopting the computer image and video automatic recognition technology.

The invention discloses a voice enhancing method, which comprises the following steps that voice signals with noises are subjected to noise reduction processing on the basis of a short-time spectrum amplitude estimation method; residue noise in the voice signals subjected to the noise reduction processing is subjected to shielding processing on the basis of the human ear shielding effect. The invention also discloses a voice enhancing device for realizing the voice enhancing method. Compared with the traditional voice enhancing method, the method and the device have the advantages that the processing step based on the human ear shielding effect is added on the basis of the short-time spectrum amplitude estimation method, so the residue noise can be shielded by the human ear, the problem of noise residue in the traditional voice enhancing method is effectively solved, and the effect of enhancing the voice is reached.

The invention relates to a brillouin scattering spectrum real-time spectrum analyzing device and a data processing method thereof. The device comprises a low-pass filter, a low-noise amplifier, an analog-to-digital converter, an FPGA, a DSP and at least three memories, wherein the input end of the low-pass filter is connected with a brillouin scattering spectrum signal, the low-pass filter, the low-noise amplifier, the analog-to-digital converter and the FPGA are sequentially connected, all the memories and the FPGA are connected into a ping-pong structure, each memory circularly works according to the processes of storing time domain data->carrying out FFT processing-> outputting frequency domain data, which are sequentially and continuously carried out under the control of an FPFA, and the processed spectrum data is output in real time. The invention provides a high-speed data processing device for rapidly surveying and mapping BOTDR spectrograms in real time and a data processing method thereof; compared with the traditional method, the invention can greatly reduce the required time of surveying and mapping and provides the brillouin spectrum of an optical fiber to be measured in real time to capture the dynamic change information of strain or temperature.

The invention proposes a method for verifying user identity based on the combination of digital password and voiceprint. The method belongs to the technical field of user identity identification and comprises of an initializing stage: obtaining an initialized training audio and creating a text-related general background model; of a registering stage: recording the user registered information and creating a text-related user model; of a verifying stage: recording user identification audio by the user according to the server designated order; and according to the short-time spectrum characteristics of the user identification audio and the text-related user model as well as the text-related general background model, verifying whether the voiceprint of the user identification audio belongs to a targeted user or not and whether the contents are consistent with the right numerical string text or not; obtaining the voiceprint verifying score and the text verifying score; summing the two scores according to their weights to obtain a final verifying score; and when the final verifying score exceeds the threshold value, completing the verification. According to the method of the invention, based on the verification using traditional password, the digital password and the voiceprint are combined to confirm so as to increase the security for identity verification.

The invention discloses a vibration measuring method of engine speed by applying a four-point energy centrobaric correction method, which comprises the steps of: discrete-sampling a vibration acceleration signal on the surface of an engine block to obtain a time series; obtaining a frequency domain signal X1(f) through fast Fourier transformation of Zn(t); correcting the peak frequency fi of X1(f) by adopting a four-point energy centrobaric correction method, and obtaining a corrected frequency; obtaining a time spectrum signal ZZn(t) through carrying out self-related transformation and fast Fourier transformation on the frequency domain signal X1(f); correcting the time ti corresponding to the peak of ZZn(t) by adopting the four-point energy centrobaric correction method again, and obtaining the corrected time; and finding the accurate 1 / 2 harmonic frequency value of the rotating speed w of the four stroke engine according to the corrected frequency and time, and calculating the rotating speed w of the engine through a relational expression. The vibration measuring method of engine speed can solve the problem that the rotating speed of the engine cannot be detected when the number of engine blocks cannot be determined; and the method has the advantages of better universality, high noise-proof performance and accurate and reliable result.

Disclosed is a method for estimating a density of an earth formation penetrated by a borehole. The method includes: emitting a pulse of fast neutrons into the formation during a neutron-pulse time interval; detecting gamma-rays due to inelastic scattering and thermal capture of the emitted neutrons in the formation to provide a gamma-ray energy spectrum due to the inelastic scattering and the thermal capture during a first time interval within the neutron-pulse time interval and to provide a time spectrum of counts or count rates due to thermal capture during a second time interval occurring after the neutron-pulse time interval; determining a macroscopic capture cross section of the formation from a decay in the time spectrum of counts or count rates; determining an elemental weight fraction from the gamma-ray energy spectrum; and estimating the density of the formation using the macroscopic capture cross section and the elemental weight fraction.

In an analysis using a mass spectrometer having a loop orbit along which ions are made to fly a plurality of times, the present invention provides a method of determining the mass-to-charge ratio of an ion without limiting the range of the mass-to-charge ratio of the ions to be brought into the loop orbit while allowing the lapping of the orbiting ions. The measurement is carried out two or more times under different conditions (Tg=500[μs], 400[μs]) under which the number of turns of the ion concerned is different. Flight times are determined from the flight time spectrums obtained by at least two measurements. Though the numbers of turns themselves are unknown, it is possible to calculate possible mass-to-charge ratios for each flight time by incrementally setting the number of turns at plural values. The two sets of possible mass-to-charge ratios derived from the two flight time values (525[μs], 441[μs]) determined by the two measurements are compared with each other, and a value that is found in both measurement results is selected as the mass-to-charge ratio of the ion concerned. Thus, it is possible to determine the mass-to-charge ratio without limiting the range of the mass-to-charge ratio before the ions are brought into the loop orbit.

The invention provides a single-user dynamic spectrum anti-interference system and method based on a software radio platform. The system comprises an interference subsystem, a broadband spectrum sensing subsystem, a wireless transmission subsystem and an autonomous decision-making subsystem. The method comprises the following steps: firstly, a jammer applies an interference signal to interfere user communication; then, the broadband spectrum sensing subsystem obtains a real-time spectrum situation by applying a broadband spectrum rapid sensing technology; then a data link in the wireless transmission subsystem performs data transmission, and a control link performs feedback from an ACK frame to a transmitter end; and finally, the autonomous decision subsystem performs channel selection through intelligent decision by adopting a reinforcement learning algorithm, and returns a new transmission channel to the user transmitter end through a control link. Theflexibility is good, hardware reconfigurability and expandability are high, external malicious interference is effectively avoided, dynamic spectrum access of a single user is achieved, and the overall throughput and anti-interference performance of the network are improved.

The invention discloses an early warning mechanism and early warning method for a wind generation set. The wind generation set includes a blower tower including a tower and a flange assembly. The early warning mechanism comprises a three-directional acceleration sensor, a real-time vibration signal conditioning system, a real-time mode acquisition and spectrum analysis system, a plurality of force sensor assemblies, a plurality of real-time strain signal conditioning systems, a plurality of real-time strain acquisition and analysis system, a real-time spectrum comparison system, a real-time strain comparison system, a determination system and a data output system. According to the invention, on the basis of a monitoring way with dynamic and static combination, the acceleration sensor and a bolt fastening force sensor are used for detection. The acceleration sensor is installed on the top of the wind generation set tower to send a detection signal regularly, so that the mode changing situation of the system is monitored; according to the mode changing situation detected at a monitoring point, pre determination is carried out on a system fault; whether a mode change caused by bolt loosening is included is analyzed; and thus whether a flange bolt is loosened is determined.

The method is used for implementing a real time spectrum monitoring on the basis of current higher-frequency radar. The work gap of higher-frequency radar is used to monitor the external interference noise spectrum, and to implement the realtime statistic for external noise environment. According to the result of statistic the working frequency of radar is renewed. The invention can also implement the reception of radar back wave and environment monitoring in outer space.

The invention discloses a rapid link establishing method based on spectrum prediction. The method includes the following steps: a set of idle channels is predicted at the next moment in a neural network manner based on historical spectrum sensing data; a multi-channel perception order optimization criterion is constructed by combining spectrum prediction with channel quality historical data, and the predicted idle channels are sorted by using the multi-channel perception order optimization criterion; a top ranked channel is selected for real-time spectrum sensing and channel detection, a truechannel state and channel quality are obtained, if perceived channel is idle and channel detection SNR is greater than a threshold value SNR0, a primary call party initiates calling to establish a communication link, and next channel is switched if requirements are not satisfied; and for throughput requirements in an actual system, link establishing time of a user is calculated by utilizing a rapid link establishment algorithm. Through adoption of the method of the invention, idle channel resources can be discovered more quickly in spectrum, and the link establishing time of the short-wave communication is reduced by narrowing a perceived frequency range.

This invention relates to a method for determine the zone permeability and pore structures by use of rock induced polarization and it solves the problem of single parameter and complicated influence factors in current induced polarization method. Its characteristics are the following: first to supply electricity to control units through constant-current source to generate polarization field in rock core then to cut off electricity. The polarization field fading with time and through measuring fading electric potential to obtain the induced polarization fading spectrum, and to obtain relaxing time spectrum by multiple exponential decline match of fading spectrum. And it can quantitatively descript zone capillary pressure and pore space structure. And it can calculate permeability by combining pore space materials with relaxing time geometrical mean and is characterized by high permeability accuracy and on-spot accessing.

In order to analyze an information signal, a significant short-time spectrum is extracted from the information signal, the means for extracting being configured to extract such short-time spectra which come closer to a specific characteristic than other short-time spectra of the information signal. The short-time spectra extracted are then decomposed into component signals using ICA analysis, a component signal spectrum representing a profile spectrum of a tone source which generates a tone corresponding to the characteristic sought for. From a sequence of short-time spectra of the information signal and from the profile spectra determined, an amplitude envelope is eventually calculated for each profile spectrum, the amplitude envelope indicating how a profile spectrum of a tone source all in all changes over time. The profile spectra and all the amplitude envelopes associated therewith provide a description of the information signal which may be evaluated further, for example for transcription purposes in the case of a music signal.

The invention discloses a parameter-adjustable nuclear pulse simulation method. In search of a nuclear instrument and a nuclear signal processing method, in order to verify the reliability of hardware and the processing method, a larger number of diversified nuclear pulse signals are needed usually. The parameter-adjustable nuclear pulse simulation method disclosed by the invention comprises the following steps of: generating amplitude and adjacent pulse time interval value complying with distribution of selected any energy spectrum and time spectrum through sampling according to the selected any energy spectrum and time spectrum; selecting appropriate detector circuit parameters to establish a parameterized model; and designing an appropriate current pulse shape and taking the appropriate current pulse shape as an exciting signal of the model, generating continuous signals which have random amplitude and adjacent pulse time and comply with excepted energy spectrum and time spectrum distribution according to the parameters, the random amplitude and the adjacent pulse time interval value, and discretizing and superposing the continuous signals to obtain a voltage value, namely a digital pulse wave form, of each moment. The discrete sequential values are subjected to digital-to-analog conversion and used as input signals of a follow-up circuit, and therefore, vivid and diversified radiant signals are provided for amplification, formation, discrimination, accordance and other processing as well as data analysis of the follow-up circuit. The result shows that the parameter-adjustable nuclear pulse simulation method can be used for generating various wave forms of pulse signals conveniently and flexibly through a parameterized model and can meet the requirement on nuclear pulse diversification in the search of the nuclear instrument and the nuclear signal processing method.

The invention discloses a device and method for detecting a terahertz signal multi-dimensional image through dual Fourier transformation. The device comprises a focal plane array receiver, a light splitting device, a frequency division multiplexing readout device and a system control module. A terahertz signal is outputted to a KID detector array after being processed by the light splitting device, a multi-tone signal generated by the frequency division multiplexing readout module is inputted to the KID detector array of the focal plane array receiver, and a multi-tone signal outputted by the KID detector array is outputted to the frequency division multiplexing readout module after being processed by a broadband low-temperature and low-noise amplifier so that real-time spectrum processing can be conducted on the multi-tone signal. The system control module controls the light splitting device and the frequency division multiplexing readout module, reads a broadband continuous spectrum signal amplitude and spectrum signal interference map, conducts low-medium resolution spectrum processing on the interference map, and conducts multi-dimensional terahertz image signal processing on the read signal. According to the device and the method, the technology of highly flexibly detecting a terahertz signal broadband continuous spectrum and low-medium resolution spectrum map can be achieved, and the terahertz signal multi-dimensional image can be detected.

The invention discloses a fault diagnosis method for a wind-power gear case. The fault diagnosis method comprises the following steps: vibration signals and rotating speed pulse signals of the wind-power gear case in operation are acquired, and corresponding power generator output power is also acquired; order time spectrum analysis is performed on the acquired vibration signals and the rotating speed pulse signals so that meshing vibration energy is obtained; the meshing vibration energy and the corresponding power generator output power are fit via a least square method so that a curve of change of the meshing vibration energy along with the power generator output power is obtained; and mean value normalization processing is performed on the real-time meshing vibration energy obtained by utilizing the curve after the order time spectrum analysis is performed on the vibration signals and the rotating speed pulse signals acquired in real time so that the normalized real-time meshing vibration energy is obtained, and fault diagnosis for the wind-power gear case is realized via analyzing the normalized real-time meshing vibration energy. Influence of load change of the wind-power gear box on the vibration signals of the wind-power gear box is weakened so that reliability of fault diagnosis is enhanced.

The invention discloses a sparse reconstruction-based KA-STAP (Knowledge Assistance-Space-Time Adaptive Processing) clutter and noise covariance matrix high-accuracy estimation method, which comprisesthe following steps: S1, analyzing airborne radar echo data, and acquiring a high-resolution two-dimensional space-time spectrum by using sparse reconstruction; S2, screening pixel points on the two-dimensional space-time spectrum, and calculating weighted values of corresponding to the pixel points; S3, fitting a clutter track by using a weighted least square method; S4, estimating the noise power according to a sparse reconstruction space-time spectrum, and constructing a prior clutter and noise covariance matrix; and S5, carrying out adaptive filtering and target detection on a detection unit by using the prior clutter and noise covariance matrix and dimension-reduced STAP. Compared with a conventional STAP algorithm, the method disclosed by the invention is relatively small in calculating volume, can effectively improve the clutter suppression and target detection performance of the STAP system under a non-steady clutter environment, and is favorable for engineering implementation.

The invention discloses a device which is invented based optical trapping of particles in aerosol and is used for realizing Raman spectrum detection. The device comprises two lasers, a hollow laser beam generation mechanism, an aerosol particle optical trapping mechanism, and a Raman spectrum detection mechanism; the hollow laser beam generation mechanism is used for diving laser generated by a first laser into two conical hollow laser beams; the two conical hollow laser beams are focused in an aerosol flow channel of a quartz chamber of the aerosol particle optical trapping mechanism to construct a capsule structure optical trapping trap composed of the two conical hollow laser beams, and realizing optical trapping on aerosol particles; the Raman spectrum detection mechanism is adopted for real-time spectrum detection of trapped particles. The device can be used for stable optical trapping and Raman spectrum detection of aerosol particles, eliminating fluorescence background in particle Raman signals, is rapid and nondestructive, and is capable of realizing identification of particles in aerosol.