528results about "Digital variable display" patented technology

The invention discloses a digital signal analysis method and device, a terminal and a storage medium. The method comprises the following steps: eliminating data related jitter corresponding to a target digital signal from time interval error data corresponding to the target digital signal; obtaining a random jitter histogram corresponding to the target digital signal and a periodic jitter histogram corresponding to the target digital signal; obtaining an error rate curve corresponding to the target digital signal based on data related jitter corresponding to the target digital signal, the random jitter histogram and the periodic jitter histogram; generating a bathtub curve corresponding to the target digital signal according to the error rate curve corresponding to the target digital signal; and obtaining a target analysis result based on the bathtub curve. The invention aims to accurately and efficiently complete the jitter analysis of the digital signal so as to judge the stability of a digital signal system.

A test and measurement instrument has a port to receive a signal from a device under test (DUT), one or more processors configured to execute code that causes the one or more processors to acquire a waveform from the signal, derive a pattern waveform from the waveform using one of either hardware or software clock recovery, perform linear fit pulse response (LFPR) extractions on the pattern waveform to extract more than one LFPR, determine a reference pulse response from the more than one LFPRs, compare at least one of the LFPRs to the reference pulse response to determine a difference, and tune the DUT to reduce the difference. The test and measurement instrument may also use the multiple LFPRs as an input to a machine learning network to perform measurement predictions for the DUT.

A system includes an input to receive a digital waveform signal, a memory, and one or more processors configured to execute code to cause the one or more processors to: generate a horizontal ramp sweep signal based on the digital waveform signal; receive a selection input to identify a segment of the digital waveform signal; gate the horizontal ramp sweep signal and the digital waveform signal based on the selection input to produce cyclic loop image data for the segment of the digital waveform; store the cyclic loop image data in the memory; and provide the cyclic loop image data as one or more inputs into a machine learning system. A method of waveform classification using a cyclic loop image includes receiving an input waveform, receiving a selection of a segment of the input waveform, transforming the segment of the input waveform into cyclic loop image data, the transforming comprising generating a horizontal ramp sweep signal based on edge transitions in the input waveform, and storing the cyclic loop image data in a memory; and sending the cyclic loop image data to a machine learning system to determine an attribute of the input waveform.

The invention discloses an inter-channel trigger offset control method and system based on multiple FPGAs and an oscilloscope, and each FPGA processor is provided with a first-stage trigger processing module, a first-stage offset adjustment module and a trigger control data communication module, and is provided with multiple channels and an ADC acquisition card. The method comprises the following steps: each processor receives a trigger signal; summarizing all the trigger signals, determining a trigger source channel, and generating a control signal group; calculating a parallel offset control quantity between channels; generating an FIFO control signal according to the offset control quantity; and reading ADC data and displaying a waveform. The technical problems that in the prior art, automatic alignment of triggering offset among multiple channels of an oscilloscope cannot be achieved, offset adjustment is inaccurate, the adjustment precision is insufficient, and adjustment of the triggering offset difference among the channels in any positive and negative directions cannot be achieved are solved, accurate and rapid alignment of the triggering offset among the multiple channels of the oscilloscope is achieved, and the accuracy and the accuracy of adjustment are improved. And meanwhile, the technical effects that the positive and negative trigger offset difference can be accurately adjusted, and the adjusting precision can be improved can be achieved.

A battery charger and method is disclosed for detecting when a battery has a low state of health while simultaneously charging or maintaining the battery. A battery charger includes a processor; a non-transitory memory device; a power management device to receive an input power and to output a charging current; a pair of electrical conductors to electrically couple with a battery, and a display electrically coupled to the processor. The display being configured to indicate a bad battery indicator when the battery has a low state of health and whether the battery is good to start.

A signal processing method for selectively removing noise from a digital input signal is provided. The method includes the steps of, for example, receiving, by a signal input, a digital input signal of a device under test, determining, by an analysis circuit, a DUT noise contribution to noise of the digital input signal, wherein the DUT noise contribution is associated with noise originating from the device under test, reducing, by the analysis circuit, a noise level of the digital input signal to a noise level of the DUT noise contribution determined, thereby obtaining a noise-reduced output signal, and providing the noise-reduced output signal to a measurement application for further processing. A signal processing system for carrying out the method or others is also provided.

A multi-channel analog-digital converter (ADC) subsystem for test device such as a spectrum analyzer may include multiple multi-channel ADCs to receive down-converted signals and convert the received signals to digital output signals, a field programmable gate array (FPGA) to select one or more ADCs based on a frequency, a bandwidth, and / or a signal type of each received signal and a characteristic of each ADC, and an ADC sample clock to provide a clock signal to the selected ADCs. Characteristics of the ADCs may include a resolution, a signal-to-noise-and-distortion ratio (SINAD), an effective number of bits (ENOB), a signal-to-noise ratio (SNR), a total harmonic distortion (THD), a total harmonic distortion plus noise (THD+N), and / or a spurious free dynamic range (SFDR).

The invention discloses a signal measurement method of an oscilloscope, the oscilloscope and a storage medium, and belongs to the technical field of oscilloscopes. The method comprises the following steps: controlling to display a measurement group interface, wherein the measurement group interface comprises a target measurement group; in response to a first operation on the target measurement group, controlling to display a measurement type interface, and determining at least two target measurement types based on the measurement type interface so as to update the measurement types in the target measurement group into the at least two target measurement types; and / or, in response to a second operation on the target measurement group, controlling to display the information source interface, determining at least one target information source based on the information source interface, and updating the information source in the target measurement group to the at least one target information source; and updating and applying the current measurement type in the target measurement group to the current information source in the target measurement group to obtain an updated target measurement group, and measuring the signal according to the updated target measurement group. Through the measurement group mode, the operation process can be reduced, and the measurement efficiency can be improved.

The invention belongs to the technical field of oscilloscope testing, and particularly relates to an oscilloscope eye pattern jitter analysis method and system, and the method comprises the steps: obtaining to-be-analyzed oscilloscope signal data; extracting clock information in the obtained signal data to obtain a data clock signal; carrying out synchronization processing on the obtained signal data based on the obtained data clock signal to obtain a synchronous data signal; superposing the obtained synchronous data signals to generate an oscilloscope eye diagram; and analyzing the generated oscilloscope eye diagram by adopting a self-adaptive window function and a peak valley detection method to obtain eye diagram jitter information. By analyzing and processing oscilloscope signal data, the precision and speed of complex signal jitter analysis are improved, and the requirement for real-time analysis of oscilloscope signals is further met.

A test and measurement instrument includes one or more ports to receive a signal from a device under test (DUT), an array of analog to digital converters (ADC) to receive the signal, a data collector to output one sample from each ADCs during one ADC clock cycle, and one or more processors to provide a sample clock to each ADC having a different clock phase from other ADCs to cause non-uniform sample spacing at or below a Nyquist frequency, and to cause the ADCs to output samples with non-uniform spacing. A method includes receiving a signal from a device under test, providing a sample clock to each ADC in an array of ADCs having a different clock phase from clock phases provided to other ADCs causing non-uniform sample spacing at or below a Nyquist frequency, sampling the signal with a non-uniform sample clock, and outputting the samples with non-uniform spacing.

The embodiment of the invention provides a signal processing device, a signal processing method, electronic equipment and a storage medium. The signal processing device comprises a signal processing circuit used for receiving a first transmission parameter of an input signal associated transmission path through an input interface; based on a predetermined frequency parameter, performing frequency resampling on the first transmission parameter to obtain a second transmission parameter, and determining a first frequency response of the transmission path based on the second transmission parameter; wherein the first frequency response is associated with embedding processing or de-embedding processing of the input signal; performing conjugate symmetry processing on the first frequency response to obtain a complex conjugate symmetry second frequency response corresponding to the first frequency response; converting the second frequency response from a frequency domain to a time domain to obtain a unit pulse response of the transmission path; determining filtering parameters of the digital filter based on the unit pulse response; and the digital filter is used for processing the input signal based on the filtering parameter to obtain an output signal.

A test and measurement device has an input port to receive a signal from a device under test (DUT), the signal having a symbol rate, one or more analog-to-digital converters (ADC) to convert the signal to waveform samples at a sampling rate, and one or more processors, when aliasing is present: up-sample a portion of the signal having aliased samples to produce up-sampled samples; use the up-sampled samples to produce a real-time waveform; perform clock recovery on the real-time waveform to produce a recovered clock; and resample the aliased samples to produce a non-aliased waveform.

A test and measurement device includes an input port to receive an input signal, a sampling circuit structured to generate a sample from the input signal, in which generating the sample from the input signal produces an amount of kickout energy, and an energy reducing circuit coupled between the sampling circuit and one or more other components of the test and measurement device, the energy reducing circuit structured to decrease the amount of kickout energy from the sampling circuit. The energy reducing circuit may include or be combined with a pick-off circuit. Methods are also described.

The invention provides an automatic waveform identification method for an intelligent oscilloscope, and relates to the technical field of signal processing, and the method comprises the steps: carrying out the time sequence compression processing and cross-scale frequency band aggregation operation of a waveform signal of the intelligent oscilloscope, and obtaining a time sequence compression sequence and multi-resolution frequency spectrum information of the waveform signal; time sequence energy characteristics and complex domain characteristics are determined through the time sequence compression sequence and the multi-resolution frequency spectrum information, spatial-temporal characteristic interaction is carried out on the time sequence energy characteristics and the complex domain characteristics based on a multi-head self-attention mechanism and a bidirectional long-short-term memory network, and a spatial-temporal characteristic weight matrix is obtained; constructing a teacher network and a student network according to the waveform signals, and determining waveform alignment features through the spatial-temporal feature weight matrix, the teacher network and the student network; and finally, the intelligent oscilloscope outputs a waveform recognition result based on the waveform alignment feature, and multi-scale waveform feature extraction and attention enhancement recognition of the waveform signal can be realized, so that the recognition accuracy of the intelligent oscilloscope is improved.

The invention provides a protocol decoding and triggering method based on envelope detection, a digital oscilloscope and a medium, relates to the technical field of digital signal processing, and is used for solving the problems of speed, accuracy and cost in a protocol decoding and triggering process. The method is applied to the digital oscilloscope. The digital oscilloscope comprises a hardware circuit and upper computer software; the method comprises the following steps: a hardware circuit performs envelope detection on a collected original signal to obtain an effective data packet; the upper computer software performs level conversion on the effective data packet according to a preset level threshold value to obtain a binary data packet; the upper computer software searches protocol frame headers of the binarized data packets according to frame header characteristics of different protocols; and the upper computer software performs protocol decoding and protocol triggering on the binarized data packet by taking a protocol frame header as a starting point. According to the method, based on hardware pre-triggering of envelope detection, analysis on invalid data packets can be reduced, the protocol decoding and triggering efficiency and accuracy are improved, and extra hardware cost is not needed.

A power system may receive power signals for one or more monitored devices, where a respective power signal includes at least one of a current or a voltage; perform discrete wavelet transforms (DWTs) of the power signals to generate DWT coefficients associated with the power signals; classify the power signals within two or more classes based on the DWT coefficients, where the two or more classes include one or more normal classes associated with one or more acceptable operational conditions and one or more atypical classes associated with one or more atypical operational conditions; and generate one or more alert signals based on the classified power signals when one or more alert conditions are met.

The invention provides a frequency converter embedded current waveform analysis method and system and a medium, and relates to the technical field of current waveform analysis, and the method comprises the steps: obtaining a sampling circuit configured in a current path of a frequency converter; calculating the required total gain based on the original output voltage signal of the sampling resistor and the required input voltage of the analog-to-digital converter; the signal quality of the original output voltage signal is evaluated, the required total gain is dynamically distributed to an instrument amplifier and a programmable gain amplifier, the original output voltage signal is amplified and then passes through an analog-to-digital converter, and current waveform data is obtained for current anomaly analysis; when the signal quality is lower than a first threshold value, the gain share of the instrument amplifier is increased preferentially; when the signal quality is higher than a second threshold, the gain share of the programmable gain amplifier is increased preferentially. According to the invention, the technical problem of low accuracy of current waveform analysis in the prior art can be solved, and the technical effect of improving the accuracy of waveform analysis is achieved.

The invention discloses a method for measuring carrier frequency in a digital oscilloscope in real time, which comprises the following steps of: inputting an input signal into the oscilloscope, and performing FFT (Fast Fourier Transform) conversion on sampling data in parallel FFT units after the sampling data passes through a multi-stage parallel-serial conversion module to obtain frequency spectrum data of each FFT unit; then main frequency points are searched in a parabola fitting mode, and the main frequency points meeting the requirements are screened out and uploaded to an upper computer; and finally, drawing a time frequency trend chart through the upper computer so as to obtain the frequency of the measured signal.

The invention discloses a method and a system for displaying a test waveform of ATE (automatic test equipment), and belongs to the technical field of automatic test, and the method comprises the following steps: receiving a waveform display request sent by an upper computer, the waveform display request comprising a trigger condition for triggering a logic controller to store waveform digital information; triggering conditions in the waveform conversion request are set to a register address corresponding to the logic controller, a pattern program is executed, test data are sent to a tested device, and return data of the tested device are received; after the pattern program is executed, the waveform digital information is obtained from a register address corresponding to the logic controller, and the waveform digital information is all test data and return data which are started to be stored by the logic controller after a trigger condition is met; and analyzing and converting the waveform digital information, and forwarding the waveform digital information to an upper computer for waveform analog signal display. According to the application, a section of waveform at any time node is captured in real time, the time sequence problem of a pattern program is quickly positioned by comparing the captured waveform signal with the pattern time sequence, the debugging period is shortened, and the development difficulty is reduced.

The invention belongs to the technical field of lightning current monitoring, and particularly discloses an intelligent lightning arrester capable of monitoring lightning current and a monitoring method, which have the beneficial effects that localized operation calculation is performed through a rule engine, the diagnosis time consumption can be reduced, sampling can be quickly triggered through a dynamic threshold value, communication is performed through a dual-mode communication module, and the intelligent lightning arrester capable of monitoring the lightning current can be used for monitoring the lightning current. Therefore, timely data detection and real-time alarm can be realized, the characteristic extraction unit is used for extracting peak current Ip, wavefront time Tf, wave tail time Tt and oscillation index Oi to realize full coverage of waveform characteristics, and the life evaluation unit is used for calculating accumulated damage and residual life percentage of the equipment to realize full coverage of the waveform characteristics. The trigger threshold value of the current is calculated through the threshold value calculation formula according to the environment temperature and the relative humidity detected by the temperature and humidity sensor, accurate monitoring is achieved, and the situation of false alarm is avoided.

The invention relates to a device and method for measuring system delay by using an oscilloscope, and belongs to the technical field of system delay measurement, and the method comprises the following steps: obtaining a to-be-measured system, connecting the output end of a signal generator with the input end of the to-be-measured system, and connecting the output end of the to-be-measured system with a first channel of the oscilloscope; the output end of the signal generator is connected to the second channel of the oscilloscope at the same time; a signal generator is used for generating a test signal, the test signal is processed by a to-be-tested system and then input to a first channel of an oscilloscope, and meanwhile the test signal is directly input to a second channel of the oscilloscope; setting a test signal input by a trigger source as the second channel on the oscilloscope, and setting a trigger condition; the waveforms of the test signals received by the first channel and the second channel are respectively obtained on the oscilloscope, and the time delay of the to-be-tested system is calculated according to the time difference of the waveforms of the two channels; the method has the beneficial effects that the measurement error is minimized by selecting consistent feature points and reasonably setting time base gears.

A method to automatically optimize waveform captures from an electrical system includes capturing at least one energy-related waveform using at least one Intelligent Electronic Device (IED) in the electrical system. The at least one captured energy-related waveform is analyzed to determine if the at least one captured energy-related waveform is capable of being compressed, while maintaining relevant attributes for characterization, analysis and / or other use. In response to determining the at least one captured energy-related waveform is capable of being compressed, while maintaining relevant attributes for characterization, analysis, and / or use, the at least one captured energy-related waveform may be compressed using at least one compression technique to generate at least one compressed energy-related waveform. One or more actions may be taken based on or using the at least one compressed energy-related waveform.

A method and system for controlling a power supply rail. The method includes adjusting a power supply rail for circuit component(s) to a first setting. The method includes determining voltage sample(s) by sampling an input voltage corresponding to an input signal. The method also includes determining whether the voltage sample(s) breach a first or second voltage threshold. Additionally, the method includes adjusting the power supply rail to a second setting if a predetermined quantity of the voltage sample(s) breach the first voltage threshold, wherein a magnitude of the second setting equals or is greater than a magnitude of the first setting; and adjusting the power supply rail to a third setting if the voltage sample(s) are captured during at least a threshold amount of time and do not breach the second voltage threshold. The magnitude of the first setting is greater than a magnitude of the third setting.

The invention discloses a multi-information-domain intelligent testing method for an intelligent oscilloscope, which comprises the following steps: firstly, collecting a signal to be tested in a real-time file, storing the signal into a DDR (Double Data Rate), then carrying out time-frequency analysis on collected data in the DDR, and identifying a time-frequency graph based on a trained YOLO neural network to obtain a center frequency and a Span parameter of a time-frequency event; the mixing frequency and the extraction multiplying power of the down converter are adjusted in a self-adaptive mode according to the parameters; frequency spectrums of collected signals are shifted to a base band through down-conversion, and meanwhile the sampling rate of the frequency spectrums is reduced so that higher frequency resolution can be achieved.

The invention provides a four-dimensional waveform fusion display method, which comprises the following steps: obtaining three-dimensional information from a frame of image, fusing and displaying the three-dimensional information in a frame of 2D image, and displaying the three-dimensional information through the X axis, the Y axis and the brightness or color at each (X, Y) position; according to the sequence of the frames generated each time, the 2D images corresponding to the multiple frames of images are unfolded along the Z axis, and fusion display of the four-dimensional waveform is completed. According to the method, the 3D digital model construction and image generation technology is utilized, the four-dimensional waveform information is visually displayed, and the information amount in the image is increased.

A digital signal processing method is for enhancing fidelity of equivalent-time waveform measurements. The method includes receiving a digitized equivalent-time waveform of a repeating signal under test (SUT), applying a low-pass filter to the digitized equivalent-time waveform to obtain a smoothed waveform, generating a residual waveform by subtracting the smoothed waveform from the digitized equivalent-time waveform, estimating contributions of multiple noise sources in the residual waveform using a regression model, computing target noise and jitter values by removing known intrinsic contributions, and reconstructing a corrected waveform by combining the smoothed waveform with a scaled version of the residual waveform, wherein the scaling is based on the target noise source contributions.

The invention discloses a power supply detection device and a test method thereof, particularly relates to the field of power electronic control, and is used for solving the problems of high-frequency phase distortion and incapability of reflecting a stability boundary under a real load dynamic state in an open-loop state caused by introduction of additional impedance due to disconnection of a loop in an existing open-loop injection test method. A switching node voltage ripple signal is synchronously collected as a disturbance input signal and an output voltage feedback signal is synchronously collected as a response output signal in a power supply closed-loop state; performing time domain alignment on the two signals to generate a time correlation signal pair; fourier transform is carried out on the signal pair to extract open-loop transfer function characteristics; mapping the characteristics to an intersection phase angle of a Nyquist plane identification curve and a unit circle; generating a chaos distortion index based on the local curvature change characteristics of the Nyquist curve of the intersection neighborhood; and correcting the phase angle of the intersection point by using a chaotic distortion index, and outputting a loop stability evaluation conclusion according to a correction result, thereby realizing high-precision stability evaluation of uninterrupted closed-loop control.

Systems and methods implement measuring, in a test and measurement instrument, operational signal timing parameters of electrical signals being communicated over an electrical bus by a device under test. A bus timing characteristics analyzer identifies nominal signal timing parameters for the acquired electrical signals. The nominal signal timing parameters are defined by the bus protocol and defining timing criteria for the electrical signals. The analyzer measures operational signal timing parameters for each of the acquired electrical signals and compares, for each of the electrical signals, the operational signal timing parameters to the nominal signal timing parameters to determine whether the operational signal timing parameters satisfy the timing criteria. The analyzer then displays, on the test and measurement instrument, a visual indication for each of the electrical signals indicating whether the operational signal timing parameters for the electrical signal satisfy the timing criteria.

The invention discloses a transient photocurrent measurement system and measurement method for a photoelectric material. The transient photocurrent measurement system comprises a double-pulse femtosecond laser detection system and a transient photocurrent high-resolution acquisition system, the double-pulse femtosecond laser detection system is used for outputting two beams of time sequence adjustable femtosecond pulse light which are respectively used as pump light and detection light, irradiating the pump light on a photoelectric material, irradiating the detection light on an ultrafast light switch material, and regulating and controlling the optical path difference of the two beams of light reaching a sample; and the transient light current high-resolution acquisition system is used for extracting picosecond-level time resolution of the transient light current of the photoelectric material. The picosecond-level time resolution can be realized, the simplified electrode structure design not only reduces the manufacturing cost and complexity, but also improves the stability and reliability of the system, so that the technology can adapt to more types of materials and application scenes, the device structure is compatible with a traditional method for testing the bandwidth of the device, and the test efficiency is greatly improved. And a convenient research method is provided for establishing a relation between device performance and a working mechanism.

The invention relates to the technical field of jitter analysis, in particular to a high-speed oscilloscope eye diagram real-time jitter detection method and system, and the method comprises the following steps: carrying out high-speed collection waveform zero-cross detection to obtain a timestamp, calculating offset grouping to obtain a cross-period edge time sequence, merging a jump cluster according to a sequence hierarchy cluster, calculating offset, obtaining a drift trend vector, and calculating the jitter of the drift trend vector; and based on the trend vector distribution compensation weight, weighting and correcting the time coordinate, calling a corrected coordinate detection period boundary to calculate a difference value exceeding a threshold value, triggering correction to obtain a period correction rear edge coordinate, and extracting a jitter frequency amplitude according to corrected coordinate Fourier analysis to generate an eye pattern jitter detection result. Phase correlation is established based on a cross-period sequence, an analyzable offset mode is formed through a clustering identification distribution structure, accumulated deviation is suppressed through a drift trend and weight correction, an abnormal period is calibrated through period dynamic discrimination, and the relation between a jitter structure and amplitude is separated through frequency analysis, so that the overall stability and integrity are enhanced.