41 results about "Waveform sampling" patented technology

The invention discloses a distribution line broadband waveform sampling method, and belongs to the technical field of power system monitoring. By collecting quantum vacuum fluctuation noise, temperature, humidity and electromagnetic parameters, a quantum environment coupling entropy model is constructed, an optimal sparse base dictionary is dynamically generated, and a noise entropy break variable is calculated. And when the entropy break variable exceeds a threshold value, triggering sub-Nyquist compressed sampling, otherwise, adopting Nyquist rate sampling to realize dynamic matching of sampling resources and signal complexity. A high-frequency component of a compressed signal is reconstructed by combining an adversarial compressed sensing network with a residual network, a low-frequency component is generated based on an original signal, the distribution consistency of high and low frequency entropies is optimized by using a Wasserstein distance, and finally a three-dimensional waveform matrix containing a timestamp, a frequency bin and quantum entropy confidence is output. The problems of low sampling efficiency, poor sparse representation adaptability, slow noise response, inconsistent reconstruction and the like in a non-stationary signal and complex noise environment are solved, and the precision and energy efficiency of broadband waveform sampling are remarkably improved.

The invention discloses a method and a device for acquiring an electrochemical impedance spectroscopy in a segmented manner, and solves the problems of large data volume, high sampling rate, long measurement time and the like in the traditional full-band EIS (Electrochemical Impedance Spectroscopy) test. A target frequency range of an electrochemical system is divided into a plurality of sub-frequency bands according to a preset rule, and an excitation waveform and a sampling parameter are set for each frequency band, so that segmented measurement is realized. For data collected by each sub-frequency band, the system calculates frequency domain characteristics of voltage and current response through methods such as fast Fourier transform (FFT) and the like, and obtains a complex impedance spectrum of the frequency band. And resampling, splicing and fitting all the sub-frequency-band impedance data to obtain a complete wide-frequency-band impedance spectrum. The system complexity and the calculation burden are small in the collection process, and the collection process can be achieved on a single-chip microcomputer.

The invention relates to the technical field of household appliance control panels, and discloses a derating test system of a household appliance control panel. The derating test system comprises a control device used for generating a power supply instruction, a test position switching instruction and a load switching instruction according to a current test item; the power supply device is used for providing voltage corresponding to the power supply instruction according to the power supply instruction; the switching device is used for selecting a corresponding target test position from a plurality of test positions to be connected with the output end of the switching device according to the test position switching instruction; the load module is used for providing a corresponding power load according to the load switching instruction; and the waveform sampling device is respectively connected with the output end of the switching device and the control device, and is used for collecting the waveform corresponding to the target test position and sending the waveform as test data to the control device for test result judgment. By means of the mode, the demand for electric signal and component derating of the household appliance control panel is effectively met, waste of resources is reduced, and the test period is shortened.

The invention discloses an arbitrary waveform signal generation method and device, equipment, a medium and a product, and relates to the field of signal processing, and the method comprises the steps: obtaining a frequency control word, and obtaining target waveform sampling data of a target waveform type; obtaining an output phase value for the frequency control word through a phase accumulation method based on a preset data length; wherein the preset data length is the length of the target waveform sampling data, and the length of the output phase value is an integral multiple of the preset data length; obtaining a target waveform amplitude value through a waveform look-up table method according to the output phase value and the target waveform sampling data; and performing analog-to-digital conversion on the target waveform amplitude value to obtain a first waveform signal. According to the invention, the waveform signal of any output wave can be prevented from generating periodic jitter.

The utility model belongs to the technical field of test equipment, and discloses portable alternating current charging pile test equipment, which comprises an alternating current charging pile tester, and a charging gun socket, a test circuit board and a load resistor are arranged on one side in the alternating current charging pile tester. The test circuit board comprises an AD sampling circuit and an ARM processor electrically connected with the AD sampling circuit. The AD sampling circuit is composed of a clamp voltage circuit, a measurement reference circuit, an LN voltage sampling circuit, an LN current sampling circuit, a CP voltage sampling circuit, a PWM waveform sampling circuit, a CC resistance sampling circuit, an AD data acquisition circuit and a test process control circuit. According to the utility model, all functions of testing the alternating current charging pile can be integrated on one testing device, the functions are comprehensive, the device is convenient to carry, and the device can be used for testing on a factory production line, can also be carried about, and is used for testing the charging pile on a charging pile working site.

This utility model relates to the field of electrical energy detection technology, and proposes a high-current electrical energy detection device with closed-loop control function. The device includes: a programmable power source module, including an output drive unit for outputting current, voltage signals, and waveforms within a large current range; a standard measurement module connected to the output drive unit for detecting the current, voltage signals, and waveform parameters output by the output drive unit; a waveform sampling module connected to the output drive unit for sampling the waveform output by the output drive unit; a closed-loop control module bidirectionally connected to the programmable power source module and the waveform sampling module for adjusting the current, voltage signals, and waveforms; and an external device detection interface connected to the output terminal of the output drive unit for connecting different types of high-current metering devices. This utility model solves the problems of measurement error superposition, unstable output, and insufficient measurement range in traditional detection devices.

The present invention discloses a method and system for realizing high-stability and high-precision laser echo waveform sequence timing of full-waveform laser radar. The laser main wave and echo signal are collected by high-speed AD, and are input into the timing FPGA after threshold comparison. A high-stability constant temperature crystal oscillator, a high-frequency crystal oscillator ≥1Gsps, and a clock management chip together constitute a time synchronization management system, which generates a timing reference clock and a synchronous sampling clock and inputs them into the timing FPGA. The timing FPGA completes the time interval of each echo sampling point relative to the main wave, and then realizes the measurement of laser flight time by waveform analysis. The high-speed sampling waveform sampling point point-by-point timing is realized, which solves the technical problem of high-stability and high-precision waveform sequence timing for long-distance laser ranging. It lays the foundation for realizing high-precision laser ranging and ground object target feature recognition of full-waveform laser radar.

The invention relates to the technical field of track characteristic data analysis, and discloses a track mileage calibration method and system based on track geometric dynamic and static waveform matching, the system comprises a track geometric waveform parameter processing module, a track mileage calibration analysis module and a track mileage calibration execution module; based on numerical analysis science, track static and dynamic waveform sampling frequency consistency is detected, and meanwhile, an interpolation algorithm is combined to carry out track geometric static waveform sampling frequency intelligent adjustment, so that track geometric waveform sampling frequency autonomous identification and correction in track geometric dynamic waveform mileage calibration are realized; track mileage calibration algorithm type fine matching is carried out on the basis of the static and dynamic waveform combination information of the track and the static and dynamic waveform combination information of the standard track corresponding to different track mileage calibration algorithms based on big data storage in combination with an artificial intelligence bionic algorithm, and the precision of track geometric dynamic waveform mileage calibration is improved.

The application discloses a kind of scintillator decay time test methods based on waveform sampling, the steps of test method include: scintillator is coupled to the optical window of photomultiplier tube placed in shielding box, using radioactive source excitation sample, open oscilloscope automatic acquisition not less than 100 pulse signals and transmission to control computer;Pulse waveform data acquired by oscilloscope is handled calculation, obtains the decay time constant corresponding to single pulse data;The above steps are repeated for processing all collected pulse data, obtain decay time constant set;With decay time constant set histogram, data should present normal distribution;Using Gaussian function to the normal distribution is fitted, the decay time value corresponding to the peak obtained is the decay time of the sample.The application can accurately test the decay time of different scintillating materials, especially suitable for high-throughput decay time measurement.

The invention relates to a self-power-taking zero-crossing-point remote switching control device and method. The device comprises a current sampling unit, an induction power taking unit, a waveform sampling unit, a core control unit, a remote communication unit and an action control unit. The induction power taking unit is used for inducing current from the alternating current circuit and supplying power to the device; the current sampling unit is used for monitoring the working current; the waveform sampling unit is used for carrying out voltage waveform sampling on an input circuit and carrying out zero crossing point judgment; the action control unit is used for controlling the device to enter and exit; the core control unit is used for monitoring, calculating and judging according to the current signal of the current sampling unit; and the remote communication unit can remotely control commissioning and quitting. The installation design of the device is simplified, the device is connected to a CT of a power utilization place through a self-power-taking circuit, current can be induced from a high-voltage power transmission line, the device is switched on and off at a zero crossing point, and the influence on a high-voltage power transmission main loop is reduced.

This invention provides a laser wavelength locking method based on waveform feature analysis, comprising the following steps: acquiring waveform sampling data of a laser detection signal; identifying signal feature points of the laser detection signal and calculating the average index and index change value of the signal feature points; adjusting the voltage range of the laser driving signal in real time until the voltage range of the laser driving signal matches the sampling point index range of the laser detection signal waveform; performing peak detection on the rising edge or falling edge waveform data to obtain multiple peak sampling points; selecting a target peak sampling point from the multiple peak sampling points based on the energy level transition type of the cesium atom D2 line, and using the voltage value corresponding to the target peak sampling point as the upper and lower limit thresholds of the voltage range of the laser driving signal to achieve laser wavelength locking. This invention solves the problems of slow locking response speed and insufficient dynamic adjustment capability in existing technologies.

The application discloses a kind of DC fault arc precision detection and efficient protection method under power electronic interference, based on system output current signal, the frequency information of the signal short-time Fourier transform is made variance processing to obtain first characteristic quantity, the common frequency band of fault arc is obtained by combining evidence classifier and with normal waveform sampling comparison, whether there is fault arc existence is judged from this, similarly, the difference frequency band of fault arc is obtained by evidence classifier, the topological structure and control strategy of fault arc difference frequency band identification device can be reached, and the purpose of efficient protection is further achieved.The application can significantly improve the effect of DC fault arc precision detection and efficient protection.

The invention provides a laser wavelength locking method based on waveform feature analysis. The method comprises the following steps: acquiring waveform sampling data of a laser detection signal, confirming signal feature points of the laser detection signal, and calculating an index average value and an index change value of the signal feature points; adjusting the voltage range of the laser driving signal in real time until the voltage range of the laser driving signal is consistent with the sampling point index range of the laser detection signal waveform; performing peak detection on the rising edge waveform data or the falling edge waveform data to obtain a plurality of peak sampling points; and based on the energy level transition type of the cesium atom D2 line, selecting a target peak sampling point from the plurality of peak sampling points, and taking the voltage value corresponding to the target peak sampling point as the upper and lower limit thresholds of the voltage range of the laser driving signal to realize laser wavelength locking. According to the invention, the problems of low locking response speed and insufficient dynamic adjustment capability in the prior art are solved.

This invention discloses a waveform sampling lidar ground feature classification method based on a hybrid kernel SVM and OvA strategy. The method includes the following steps: Step 1, preprocessing of the original stripe image; Step 2, multi-domain physical feature extraction; Step 3, feature selection based on the RFE algorithm; Step 4, construction of the hybrid kernel SVM model; Step 5, training and classification of the multi-classification model based on the OvA strategy. This method eliminates the need for point cloud inversion, significantly shortening the data processing cycle. The average recognition time per sample is only 0.34ms. It can achieve rapid and accurate identification of four typical ground features: buildings, slopes, flat land, and vegetation, with an overall classification accuracy of 95.71%. It can meet the requirements of airborne real-time processing and is suitable for scenarios requiring real-time imaging and target recognition, such as geographic surveying, military reconnaissance, and environmental monitoring.

The invention discloses a health state diagnosis device based on a power distribution terminal ADC sampling circuit, and the device comprises a power frequency analog quantity sampling circuit module which is used for sampling on-site power frequency analog data of a power distribution terminal, and the on-site power frequency analog data at least comprises sampling waveforms of voltage and current parameters; the high-frequency diagnosis wave generation circuit module is used for acquiring diagnosis waveform data; the mixed waveform generation circuit module is used for obtaining mixed waves through superposition operation based on the power frequency simulation data and the diagnosis waveform data; the mixed waveform sampling and processing module is used for acquiring a composite digital sequence through ADC sampling based on the mixed wave, and the composite digital sequence is data corresponding to the power frequency analog data and the diagnosis waveform data; the power frequency analog quantity sampling circuit module and the high-frequency diagnostic wave generating circuit module are respectively in signal connection with the input end of the mixed waveform generating circuit module, and the input end of the mixed waveform generating circuit module is in signal connection with the output end of the mixed waveform sampling and processing module.

A mobile relay station that moves in the air, the mobile relay station comprising: a waveform sampling unit that receives a signal transmitted from each of one or more transmission devices located on the ground and samples the received signal to thereby generate waveform data of the signal; a control unit that determines a down-sampling rate on the basis of predetermined criteria; a waveform data compression unit that down-samples, at the down-sampling rate determined by the control unit, the waveform data generated by the waveform sampling unit or waveform data obtained by frequency-shifting the waveform data; and a communication unit for a base station that transmits the waveform data down-sampled by the waveform data compression unit to the base station.　

The invention relates to the technical field of circuit simulation waveform data visualization, and particularly discloses a circuit simulation waveform sampling method based on MinMaxLTTB. The method aims at solving the problems of display lagging and waveform distortion caused by the fact that data volume simplification and key feature point reservation cannot be considered in mass waveform data visualization in a traditional sampling technology. The method comprises the following steps: (1) dynamic bucket division: adaptively creating data buckets with different sizes based on target resolution and simulation duration; (2) MinMax extremum pre-extraction: extracting extremum points in each bucket in a layered manner to form a simplified data set; (3) sampling LTTB characteristic values, and selecting an optimal characteristic point based on a triangle area maximum principle; and (4) integrating the sampling points in sequence to generate visual special data. According to the method, dynamic bucket division and a two-stage sampling strategy are combined, the data volume is greatly reduced, meanwhile, the waveform key features are accurately reserved, the real-time visualization performance and accuracy of large-scale circuit simulation waveforms are remarkably improved, and the method is suitable for waveform display modules of various EDA tools.

The application provides a signal testing method, device and equipment of an I2C bus, the method comprising: determining signal quality parameters and signal timing parameters of the I2C bus based on the high level position of the SCL edge pair, the low level position of the SCL edge pair, the high level position of the SDA edge pair, the low level position of the SDA edge pair and the waveform sampling time interval; and performing signal testing on the I2C bus based on the signal quality parameters and the signal timing parameters. Through the application, a feature screening model is constructed based on the high and low level positions of the SCL and SDA edge pairs and the waveform sampling interval, invalid data is accurately removed first, the effective I2C bus signal waveform is locked, then the signal quality and timing key parameters are automatically calculated, the intelligent identification and full-process automatic testing of the I2C bus signal are realized, the testing efficiency is significantly improved, and the consistency and accuracy of the testing results are ensured.

The utility model discloses a pure sine wave inverter control module power adapter. An internal circuit of the pure sine wave inverter control module power adapter comprises a current sampling and overcurrent protection circuit, an output voltage waveform sampling correction and SPWM modulation signal output and protection circuit, a four-path full-bridge drive control output circuit, a four-path full-bridge inverter circuit and a transformer conversion circuit. The output voltage waveform sampling correction and SPWM modulation signal output and protection circuit samples an AC output voltage and adjusts an output signal; and the four-path full-bridge drive control output circuit comprises a drive control chip for providing drive control signals for the four-path full-bridge inverter circuit. The power supply outputs pure sine waves, adopts a current mode and a center alignment SPWM modulation mode, is internally provided with four paths of high-voltage full-bridge driving, and samples and corrects output voltage waveforms, so that the output quality of the power supply is ensured; the main chip is integrated and provides a perfect protection function, and peripheral circuits and components are reduced.

Efficient voice synthesis using frame-based processing may be performed. An audio processing system converts an input speech waveform to an acoustic feature representation, which includes a sequence of frames at a lower resolution than the sampling resolution of the input waveform. The system propagates the acoustic feature representation through GRUs and fully-connected layers, while maintaining the lower resolution. At the end, the system performs a flattening operation on the frames of the final acoustic feature representation to generate an output waveform at a target sampling resolution.

The application discloses a waveform data resampling method, device, functional module and system. The waveform data resampling method comprises the following steps: using target waveform sampling data to initialize a jump point detection data, and identifying a jump sampling point in the jump point detection data; using a current interpolation algorithm to perform interpolation processing between the jump sampling point and a previous adjacent sampling point of the jump sampling point; after updating the jump point detection data by using the interpolation data, returning to perform the operation of identifying the jump sampling point until the use of the interpolation algorithm is completed for a preset number of times; performing resampling processing according to interpolation positions recorded by each interpolation algorithm in the interpolation algorithm set before interpolation processing to obtain resampling data of a to-be-processed channel; performing data waveform recovery according to the resampling data to obtain to-be-stored data, and storing the to-be-stored data. The technical scheme of the embodiment of the application can greatly improve the sampling precision of the waveform data and meet the occasions with high data precision requirements.

The utility model discloses a repeated avalanche energy test circuit and system based on a 555 timer, and relates to the technical field of repeated avalanche energy, and the repeated avalanche energy test system comprises a signal driving module, a power supply module, a load adjusting module, a waveform sampling module, a waveform monitoring module, and a temperature monitoring module. Wherein the signal driving module is electrically connected with the power supply module, the load adjusting module, the waveform sampling module, the waveform monitoring module and the temperature monitoring module in sequence; according to the utility model, the square wave generator composed of the 555 timer generates a pulse signal and transmits the pulse signal to the tested element, and the switching frequency of the tested element is controlled by the preceding stage generator, so that the composed repeated avalanche energy test circuit is simple in structure and convenient to debug; and different switching frequencies can be set and the real-time temperature of the tested element can be monitored according to requirements, so that different test frequency requirements can be met, and the service life and the reliability of the designed product can be quickly judged.

This invention relates to the field of condition monitoring technology, specifically disclosing a mold condition monitoring method for early warning of abnormalities in automotive plastic molding. The method involves simultaneously acquiring displacement change signals of the monitored component relative to the mold template and pressure change signals within the cavity during injection molding. The impact trigger moment is determined based on the pressure change, and the displacement signal is captured within the corresponding time window to form an impact response waveform. By converting the waveform sampling points into a two-dimensional point set and performing normalization, the spatial connectivity of each sampling point at different scales is further analyzed using a persistent cohomology method. A persistent graph is constructed, and topological feature values ​​reflecting the waveform structure are extracted to form an impact response feature vector. This feature vector is compared with a pre-obtained baseline feature vector. When the difference exceeds a set threshold, an abnormality in the mold component is determined, thereby achieving monitoring and early warning of mold condition changes during automotive plastic molding.

The invention belongs to the technical field of test and measurement, and relates to an arbitrary waveform sampling rate seamless transformation method based on FPGA processing. The method comprises the following steps of: dynamically generating the number of original sampling points needing to be read every time and the time offset of each new sampling moment relative to an original sampling point according to an original sampling rate and a target sampling rate under the driving of an FPGA (Field Programmable Gate Array) processing clock, and calculating and generating a new sampling value according to the original sampling points and the time offset. According to the random waveform sampling rate seamless transformation method based on FPGA processing, no matter how much the sampling rate in a user waveform file is, only original waveform sampling point data needs to be loaded, software does not need to carry out any processing on an original sampling point, the loading time is not influenced, the length of the original sampling point can reach the maximum storage depth, and the sampling rate is greatly improved. And the problem of waveform tail distortion does not exist.

The invention provides a transponder signal editing method and device, and the method comprises the steps: receiving an editing type selected by a user, and displaying a parameter configuration page to the user according to the editing type; wherein the editing type comprises single message non-envelope processing, message switching processing, interference processing and transponder sequence processing; and editing the transponder signal according to the parameter configuration information set by the user to obtain a target transponder signal. Editing of simulation transponder signals is achieved through a software programming method, waveform sampling point data files generated through editing can be stored in an arbitrary waveform generator, and the waveform sampling point data files are sent to a BTM antenna through connection of the arbitrary waveform generator and a related testing device, so that the performance of receiving and processing the transponder signals of BTM equipment is verified.

The present application relates to the technical field of track feature data analysis, and discloses a track mileage calibration method and system based on track geometric dynamic and static waveform matching, the system comprising a track geometric waveform parameter processing module, a track mileage calibration analysis module and a track mileage calibration execution module; based on numerical analysis, the consistency of track static and dynamic waveform sampling frequency is detected scientifically, and the sampling frequency of track geometric static waveform is intelligently adjusted by combining an interpolation algorithm, so that independent identification and correction of the track geometric waveform sampling frequency in track geometric dynamic waveform mileage calibration are realized; based on track geometric static and dynamic waveform combination information, corresponding standard track geometric static and dynamic waveform combination information is finely matched by combining an artificial intelligence bionic algorithm and a different track mileage calibration algorithm based on big data storage, so that the precision of track geometric dynamic waveform mileage calibration is improved.

The application provides a laser radar aliasing waveform decomposition method based on waveform characteristics, constructs a waveform mathematical model according to seed light characteristics of a laser radar, combines an LM curve fitting algorithm, decomposes aliasing echoes into multiple single echo data, and achieves the purpose of accurately extracting multi-target ranging information. The technical basis of the application is a laser radar full waveform detection technology, that is, a laser radar detection system can sample analog electric signals converted from optical signals into digital waveform signals, and the processing object of the application is a waveform sampling point sequence of seed light and return light detected by the laser radar.

The invention discloses a waveform generation method and system, and the method is executed by a large-scale simulation system, and comprises the steps: responding to a simulation request for a large-scale chip design circuit through each sub-device, and executing simulation operation on a distributed local design circuit in parallel, and sending the local debugging data sampled in the simulation process to the matched slave. And processing the received local debugging data in parallel through each slave to obtain a local waveform file and locally storing the local waveform file. And the host aggregates and stores the local waveform files locally stored by the slaves into the target storage space and forms an index file. And the host responds to the simulation waveform viewing request, calls waveform viewing software to analyze the index file, positions all local waveform files, and merges and presents a complete waveform in a graphical user interface. According to the technical scheme, independent waveform sampling can be carried out on each local design circuit, the waveform file generation time is shortened, and the debugging efficiency of chip simulation is remarkably improved.

The invention discloses a laser ranging system and method, and the system comprises a signal generation module which is used for generating an orthogonal signal and a local oscillator signal, an orthogonal frequency mixing modulation module which is used for generating a modulation signal, a laser module which is used for generating a laser signal modulated by the modulation signal, a light path module, and a processing module. The processing module comprises an APD unit, and the diameter of the photosensitive surface of the APD unit is smaller than or equal to 100 microns. According to the laser ranging system and method, the orthogonal frequency mixing modulation technology is adopted to generate the modulated laser signal for laser ranging, the distance information in the laser signal is obtained through coherent demodulation, the precision is high, the anti-interference capacity is high, the problems that high-frequency waveforms are prone to distortion due to interference and the high-frequency sampling rate is insufficient during waveform sampling are solved, and the system and method are suitable for large-scale popularization and application. And the accuracy of phase calculation is improved. By adopting the APD unit with the narrow photosensitive surface, the spatial resolution and the signal strength of the system are effectively improved, lower cross interference is realized, and dark current and noise are suppressed.

The invention provides a current steering type digital-to-analog converter linearity test system and method, and the test system provides configuration information through an upper computer, transmits the configuration information through an FPGA mainboard, and provides test data. The tested digital-to-analog converter performs digital-to-analog conversion on test data under the driving of configuration information to obtain a plurality of test currents, the conversion module converts the plurality of test currents into a plurality of test voltages, the waveform sampling module samples the plurality of test voltages under the configuration of the configuration information, and transmits the sampled voltages to the upper computer through the FPGA mainboard. And performing fitting processing on the plurality of sampling voltages through the upper computer, and determining a linearity error according to the sampling voltages and a voltage fitting value. The linearity error test system provided by the invention is simple in overall structure, small in size and low in cost, does not need to be connected with other additional measurement equipment, remarkably improves the linearity test precision and efficiency through the high-precision waveform sampling module, greatly shortens the test time, and enables the test process to be more accurate.