103 results about "Pulse (signal processing)" patented technology

This application provides a method and apparatus for monitoring the ultra-high frequency partial discharge (UHF) oscillation characteristics of a hydro-generator, relating to the field of signal processing technology. The method includes: acquiring a partial discharge signal; preprocessing the partial discharge signal to obtain a preprocessed signal; extracting the first-order envelope of the preprocessed signal, and obtaining a second-order envelope based on the first-order envelope; and processing the pulses in the partial discharge signal based on the second-order envelope to obtain a processed partial discharge signal. The implementation provided in this application better captures subtle changes and attenuation behavior in the partial discharge signal, improves the accuracy of partial discharge signal processing, and meets the requirements for rapid and real-time monitoring of partial discharge and resistance to interference in complex electromagnetic environments.

This invention relates to lidar, specifically to a high-precision self-mixing pulse modulation semiconductor lidar, comprising: a driving circuit that drives a semiconductor laser to emit pulsed laser light; an optical amplification unit that amplifies the power of the pulsed laser light and transmits it to an optical coupling unit; an optical coupling unit that collimates or focuses the amplified pulsed laser light onto the target and backcouples the reflected or scattered light from the target to the resonant cavity of the semiconductor laser, where it undergoes self-mixing interference with the intrinsic laser light within the cavity to form a self-mixing lidar signal; and a signal processing unit that conditions and processes the self-mixing lidar signal, outputting the velocity and range information of the target. The technical solution provided by this invention effectively overcomes the shortcomings of existing technologies, such as poor low-speed detection capability, high external frequency shifting loss and cost, and poor overall adaptability.

This application provides a signal processing method, apparatus, Hall sensor, medium, and product. The method includes: acquiring a copy of a signal to be processed from the Hall sensor and clamping the signal in the i-th signal period of the copy; if the signal to be processed is free from electromagnetic interference, determining a signal conversion threshold based on the DC component in the i-th signal period of the signal to be processed; if the signal to be processed is subject to electromagnetic interference, determining the signal conversion threshold based on the DC component in the i-th signal period of the copy; and converting the signal in the (i+1)-th signal period of the signal to be processed into a pulse signal based on the signal conversion threshold. This solution simplifies signal processing by converting the signal to be processed into a pulse signal. When electromagnetic interference is present, signal conversion based on the clamped signal can correct signal loss caused by electromagnetic interference, thereby improving the accuracy of the Hall sensor's sensing results.

Magnetostrictive displacement sensor, characterized in that it comprises a measuring head (1) and a measuring rod (2) which are connected to each other, and a slider (3) which is arranged on the measuring rod (2) and can move along the longitudinal direction of the measuring rod (2);wherein the measuring head (1) comprises a housing (11), a sensitive element assembly (12), a signal processing element (13), a pulse element (14) and an end cap assembly (15), wherein the end cap assembly (15) is detachably arranged on one side of the housing (11) facing away from the measuring rod (2), wherein the end cap assembly (15) and the housing (11) together form a receiving cavity (11a), wherein the sensitive element assembly (12), the signal processing element (13) and the pulse element (14) are all arranged in the receiving cavity (11a), wherein the sensitive element assembly (12) is electrically connected to the signal processing element (13) and the pulse element (14), wherein a waveguide wire (127) is arranged inside the measuring rod (2), wherein one end of the waveguide wire (127) is connected to the sensitive element assembly (12) is connected;wherein the magnetostrictive displacement sensor (100) further comprises a holder (16) comprising a first surrounding plate (161) and a second surrounding plate (162), one of the first surrounding plate (161) and the second surrounding plate (162) being provided with an insertion part, while the other being provided with a fitting part, the insertion part snapping into the fitting part, the first surrounding plate (161) and the second surrounding plate (162) enclosing a limiting groove, with at least a portion of the structure of the sensitive element assembly (12) being limited in the limiting groove, and wherein the signal processing element (13) and the pulse element (14) are each arranged on two opposite sides of the sensitive element assembly (12), and wherein the signal processing element (13) and the pulse element (14) are each in buffered contact with the inner side wall of the housing.

This invention discloses a peak retrieval and feature extraction method suitable for environments with strong electromagnetic interference, belonging to the field of signal processing and high-speed data acquisition technology. Due to the presence of a large amount of broadband random noise and high-frequency interference in signals under strong electromagnetic environments, the peak features of signals are difficult to extract accurately. This invention proposes a peak detection and feature extraction method based on continuous comparison. This method constructs a sliding comparison model to quickly locate candidate peaks by comparing the amplitudes of adjacent sampling points, and combines a threshold decision mechanism to remove false peaks caused by noise. Based on this, feature parameters such as peak amplitude, peak position, and pulse width are extracted. Simultaneously, a dual-RAM ping-pong cache structure is introduced to achieve alternating storage and parallel output of feature data, avoiding data processing blockage and improving system real-time performance and stability. This invention has a simple structure, is easy to implement in FPGA, and can achieve high-precision peak detection and continuous data output under high-speed sampling conditions. It has good anti-interference performance and engineering application value.

This invention discloses a magnetotelluric denoising method and system based on a physics-driven and conditional diffusion model, belonging to the field of electromagnetic signal processing technology. This method integrates the advantages of neural networks and the physical characteristics of magnetotelluric signals, and proposes a physics-driven synthesis strategy based on statistical priors of measured source data and a curriculum-based dynamic physics-driven noise addition strategy based on training progress factors. Addressing the scarcity of high-quality, clean samples, a clean background field that highly approximates real physical characteristics is synthesized using a parametric mathematical model. The introduction of curriculum-based dynamic physics-driven noise addition (such as noise floor annealing, square wave incrementing, and morphological clustering pulses) accurately simulates natural background degradation and complex human interference, enabling the model to adapt to extremely complex time-frequency characteristics under different geological structural backgrounds. This completely overcomes the domain shift problem caused by static Gaussian white noise training, constructs a richer sample library, and lays the foundation for accurate denoising of conditional diffusion models.

This invention relates to the fields of nuclear detection electronics and radiation signal processing technology, specifically to an intelligent analysis system and method for nuclear radiation data. The system includes: acquiring a discrete voltage sequence output by the detector; marking pulse signals as clean pulses and calculating the real-time decay constant; calculating the net signal amplitude using a digital twin state-space recursive model; determining the real-time count rate based on the net signal amplitude and calculating the dynamic time window width based on the real-time count rate; discretely accumulating the net signal amplitude based on the dynamic time window width to generate a single-particle physical energy value; determining the measured peak position based on the single-particle physical energy value and generating a gain adjustment coefficient by combining the measured peak position with the real-time decay constant; and outputting a gain control signal based on the gain adjustment coefficient. This invention ensures precise synchronization between the subsequent calculation model and the current physical state of the detector, thereby significantly improving the physical authenticity and accuracy of energy spectrum analysis under varying temperature conditions.

This invention discloses a gas-liquid detection device, method, and system based on the near-field load characteristics of an ultrasonic transducer, belonging to the field of underwater state monitoring and ultrasonic sensing technology. The device includes: an ultrasonic transducer that emits ultrasonic vibrations and receives near-field electroacoustic response signals; an excitation circuit that applies a pulse excitation signal to the ultrasonic transducer; an acquisition circuit that acquires near-field free oscillation signals at both ends of the ultrasonic transducer within a preset time window after the excitation ends; and a signal processing module that extracts time-domain feature parameters from the acquired near-field free oscillation signals, compares the extracted feature parameters with a preset threshold, and outputs a state indicator indicating whether the ultrasonic transducer is currently in a gaseous or liquid medium. The time-domain feature parameters are used to characterize the amplitude or attenuation characteristics of the near-field free oscillation signal. This invention requires only a single ultrasonic transducer, eliminating the need for a reflective surface or dual transducers, and has advantages such as simple structure, strong anti-interference capability, fast response speed, low power consumption, and high detection accuracy.

The application provides a kind of nonlinear filtering method of pulse eddy current detection signal, belong to nondestructive testing technical field, can at least partially solve the problem that magnetic field decay voltage signal is greatly influenced by noise in pulse eddy current detection, traditional smoothing filter is easy to introduce signal distortion.The method is used for the pulse eddy current detection signal receiving processing of metal structure with cladding layer, comprising: collecting magnetic field decay voltage signal in pulse eddy current detection process;Nonlinear compression transformation is carried out on the time axis corresponding to the magnetic field decay voltage signal;Smooth filtering time window of preset length is set on the time axis after nonlinear compression, and the corresponding conventional time interval is determined;The magnetic field decay voltage signal falling into the conventional time interval is carried out smoothing filter processing, and the filtered pulse eddy current detection signal is obtained.The application makes the filtering process match the time characteristics of the magnetic field decay signal, improves the stability of signal processing, and is beneficial to subsequent wall thickness or state evaluation.

This invention discloses a broadband frequency-shifting conformal transmission method for electromagnetic waves based on a time-varying circuit with dual constitutive parameters, belonging to the fields of microwave radio frequency, time metamaterials, and frequency domain transformation technology. The method is implemented using a frequency-shifting transmission circuit, which includes a microstrip transmission line and a periodically loaded inductor branch. The inductor branch includes switches, series inductors, and parallel inductors. When all switches in the frequency-shifting transmission circuit are open, an input pulse signal is sent to the circuit. When the pulse signal has fully entered the microstrip transmission line, all switches close simultaneously. Due to the wavenumber conservation of the microstrip transmission line, frequency shift occurs, achieving frequency-shifting transmission. This method does not rely on a complex local oscillator system, does not increase circuit complexity excessively, and theoretically does not generate harmonics. It achieves broadband frequency shifting, reflection-free, high-efficiency transmission, and waveform distortion-free conformal transmission, providing a new technical path for broadband, low-distortion signal processing in the microwave radio frequency field.

This application relates to the field of radar signal processing technology, and in particular to a radar interference identification method based on multi-domain feature association and fingerprint tracing. The method includes: digitally channelizing the received radar signal using a polyphase filter bank, decomposing it into multiple narrowband sub-channels, and selecting effective sub-channels; extracting macroscopic features from the outputs of the effective sub-channels to construct high-dimensional feature vectors; inputting the high-dimensional feature vectors into a pre-trained random forest classification model for initial interference pattern judgment to obtain preliminary judgment results; if the preliminary judgment result is deceptive interference and the signal-to-noise ratio of the effective sub-channels is higher than a preset fingerprint extraction threshold, then extracting microscopic features from the outputs of the effective sub-channels to construct microscopic fingerprint vectors; performing fine analysis of the pulse leading edge fingerprint based on the microscopic fingerprint vectors to obtain secondary fingerprint analysis results; and combining the preliminary judgment results and the secondary fingerprint analysis results to obtain the final identification result used to characterize the interference pattern and the identity of the interference source.

The application discloses a kind of intelligent high-low voltage electrical line fault locating method and system.The method comprises: constructing multi-modal disturbance observer based on power transmission physical equation, state space modeling and residual analysis are carried out on the electrical parameters of monitoring point, and low-intensity initial fault characteristic pulse packet is extracted;Using super-resolution anti-interference processing based on variational bayes Kalman filter and low-rank matrix approximation, time-frequency domain joint noise reduction and waveform reconstruction are carried out on fault traveling wave signal.The application realizes end-to-end collaborative optimization of each technical link by constructing comprehensive loss function across modules linkage, solves the problems of existing technology, such as lagging start point of early fault detection, information fault in signal processing and artificial intelligence model, and lack of cross-time closed-loop experience solidification ability of fault diagnosis model, significantly improves fault locating precision, anti-interference ability and system adaptive evolution ability.

The application relates to a bi-static MIMO radar correction distance deviation method based on algebraic analysis, which comprises the following steps: obtaining a target echo signal of a bi-static MIMO radar; making a receiving beam point to a target according to a known target receiving angle, selecting an arbitrary angle of a transmitting beam to point to, sequentially performing receiving beam forming and pulse synthesis processing on the target echo signal to obtain an initial pulse synthesis output signal; calculating and correcting a time difference according to a spatial phase deviation caused by the transmitting beam pointing to a target transmitting angle, to obtain a corrected time difference; calculating a distance difference according to a difference between the initial pulse synthesis output signal and a sum of a real distance and the target; calculating a target transmitting angle according to an algebraic expression of the corrected time difference and the distance difference and the corrected time difference and the distance difference; and calculating a real position of the target by using the target transmitting angle. The method simplifies a traditional bi-static MIMO radar signal processing flow, reduces an operation amount, and has stable target detection performance.

This invention relates to the field of medical device and physiological signal processing technology, specifically a low-frequency pulse data processing method for a graphene far-infrared eye care device. The method includes: constructing a multi-source physiological data acquisition layer to acquire substrate temperature data continuously acquired based on a first sampling frequency and discrete physiological impedance data from a single trigger sampling within an electrical stimulation feedback cycle during device operation; constructing a baseline prediction and feature separation layer to calculate the expected impedance baseline based on a physical mechanism data mapping model, and decoupling the physiological impedance data from the expected impedance baseline to extract dynamic residual data; and constructing a data decision layer based on health informatics to identify dynamic residual data according to a physiological state classification model, generate health assessment labels, and generate a digital control parameter matrix for adaptively updating the device's operating configuration. This invention can separate thermal drift from actual physiological changes, achieving stable identification of the user's eye physiological state under low power consumption conditions.

An imaging device includes a pixel, the pixel includes a light receiving unit configured to receive light and generate a pulse signal, a counter configured to count the pulse signal and hold a count value of a plurality of bits, a holding unit configured to hold the count value, and a switching unit configured to switch the bit values of the count value to be held in the holding unit. The switching unit causes the holding unit to hold one or more higher-order bits of the count value a plurality of times. The holding unit outputs the plurality of higher-order bits.

The present application relates to radar interference high-speed transmission technical field, specifically for SAR radar interference method based on high-speed data transmission, including: receiving the radio frequency signal of the interfered synthetic aperture radar transmission, the original sampling data stream is obtained through the down conversion and analog-digital conversion of radio frequency receiving front end, through high-speed serial interface transmission to programmable logic part, the pulse description word containing pulse arrival time, pulse width, pulse repetition interval, carrier frequency is extracted, the baseband waveform of coherent interference signal is reconstructed in real time according to pulse description word, the target interference intermediate frequency digital signal is generated by carrying out digital up conversion and digital predistortion processing to baseband waveform, and the interference radio frequency signal is radiated after completing digital-analog conversion and up conversion through high-speed serial interface transmission to radio frequency transmitting front end.This method can reduce data transmission and signal processing delay, guarantee the coherence of interference signal, improve the generation accuracy and processing real-time performance of intermediate frequency signal.

This application provides a timing control device, system, and method for frequency-scanning radar based on frequency synthesizer and digital logic modules. The frequency synthesizer module serves as the synchronization source and timing reference source for the operating modes of the frequency-scanning radar system. In terms of system hardware architecture, it achieves coherent synchronization between the RF sub-module and the digital logic module. At the RF end, the SYNC signal is used to broaden the pulses of each sub-module, thereby forming the gate signals for each module's corresponding operating mode, which are distributed only by the digital logic module. At the digital end, edge and pulse width detection of the SYNC and MODE signals triggers the sampling and digital signal processing timing. The entire system uses the signal generated by the frequency synthesizer module as the reference, achieving high precision and low phase noise while reducing the external RF cables of the digital logic module. It also achieves strong coupling between the RF and digital ends, which is beneficial for FPGA on-chip resource optimization and timing convergence, reducing design verification costs and subsequent expansion costs.

The application provides an injection-production simultaneous measurement universal acquisition circuit, and belongs to the technical field of oil well development. The circuit comprises: an analog signal processing board and a control acquisition board; the analog signal processing board comprises: a temperature signal processing module, which is used for converting a temperature signal in a well into an analog voltage signal; a pressure signal processing module, which is used for converting a pressure signal in the well into a first analog differential signal; and a pressure difference signal processing module, which is used for converting a pressure difference signal in the well into a second analog differential signal; the control acquisition board comprises: a main control module; a multi-channel pulse acquisition module, which is used for detecting pulse signals of different layers in the well; and a UART interface module, which is used for receiving a command issued by a communication board and sending at least one of data of a water nozzle driving assembly, data of an electric conductivity water holding flow assembly and data of an ultrasonic flow assembly to the communication board. The application is used to solve the problems of insufficient completeness of downhole detection parameters and incompatibility of injection and production well dynamic monitoring.

A speed pulse recognition method based on zero-crossing closing interval and decoupling criterion belongs to the field of earthquake engineering and seismic signal processing, and comprises the following steps: step 1, speed time history acquisition and pretreatment; step 2, candidate interval of closing pulse is constructed; step 3, energy calculation and candidate screening; step 4, global energy concentration window construction and screening: cumulative energy curve is constructed, and consistent constraint screening is carried out based on the global energy concentration window; step 5, adjacent interval continuity discrimination and boundary marking: the continuity of adjacent intervals is discriminated, and the decoupling and to-be-merged boundary are marked; step 6, merging and reorganization iteration and pulse group generation; step 7, energy concentration review and determination output: the concentration is reviewed, and the pulse type and key parameters are output. And a speed pulse recognition device based on zero-crossing closing interval and decoupling criterion is provided. The present application improves the reliability and engineering applicability of the pulse recognition result under complex seismic motion conditions.

This invention provides a flexible wearable multi-vital sign monitoring device, belonging to the field of wearable monitoring device technology. The flexible wearable multi-vital sign monitoring device includes: a ring-shaped flexible circuit board and a flexible ECG patch. The ring-shaped flexible circuit board integrates an ECG signal processing module, a heart rate sensor module, and a blood oxygen sensor module. The ECG signal processing module is electrically connected to the flexible ECG patch. The ECG signal processing module is used to convert the analog ECG signal collected by the flexible ECG patch into digital ECG data and send it to an external terminal device. The heart rate sensor module is used to convert the pulse physiological signal collected from the wrist into sensor heart rate data and send it to the terminal device. The blood oxygen sensor module is used to convert the photoplethysmography signal collected from the wrist skin into photoelectric pulse wave heart rate data and blood oxygen saturation data and send them to the terminal device. This invention can improve the accuracy of monitoring devices.

This invention provides a semiconductor ultraviolet single-photon detector and its control method, relating to the field of single-photon detection technology. The semiconductor ultraviolet single-photon detector includes a silicon carbide single-photon avalanche photodiode, a readout circuit, a signal processing module, a temperature control module, a bias module, and an enable module. The readout circuit passively quenches the silicon carbide single-photon avalanche photodiode to generate a negative pulse avalanche signal; the signal processing module filters, amplifies, and distinguishes the negative pulse avalanche signal, converting it into a digital signal output; the temperature control module provides a stable temperature for the readout circuit; the bias module provides a DC bias voltage for the readout circuit based on internal and external temperature differences; and the enable module shields against strong external light signals and sets a dead time. The semiconductor ultraviolet single-photon detector of this invention has advantages such as small size, easy integration, stable performance, mild operating conditions, and easy array expansion.

The application provides a lightning transient electric field detection system, method and time difference positioning network, which comprises a vertical spherical cap induction electrode and four horizontal spherical cap induction electrodes, is combined with a front-end signal conditioning channel and a digital signal processing unit, and can perform horizontal electric field component decomposition, single-station three-dimensional direction determination and radiation field polarization analysis based on five-way output signals. The scheme can realize synchronous measurement of three components of lightning transient electric field, and breaks through the fundamental limitation of traditional fast antennas which can only measure the vertical electric field component. Moreover, based on the vertical and horizontal electric field components, single-station three-dimensional direction determination can be realized, and real-time determination of the three-dimensional direction of lightning signals can be realized at a single station without the cooperation of multiple stations, and then, after the introduction of the pulse correlation of time difference positioning, the pulse mis-correlation rate can be reduced. In addition, the synchronous measurement of the vertical and horizontal electric field components also provides a complete data basis for the polarization analysis of the lightning radiation field, and perfect radiation field polarization parameters can be extracted.

The application relates to the technical field of signal processing, and provides a signal processing method and system of a rubidium atomic frequency standard, a main frequency standard adopts a double-threshold amplitude comparison circuit, a standby frequency standard adopts a single-threshold amplitude comparison circuit, and the existence of a signal, the validity of an amplitude and a locking state are synchronously monitored; double-threshold detection of the main frequency standard ensures reliability, single-threshold detection of the standby frequency standard ensures readiness for quick switching, and the reliability and switching efficiency are balanced; through preset logic rule fusion analysis, the validity is comprehensively judged in combination with a frequency standard locking signal. A control signal is generated based on a priority rule, the main frequency standard is kept when the main frequency standard is valid, a high-level pulse synchronized with a 10MHz signal zero-crossing point is generated when the main frequency standard is invalid and the standby is ready, an abnormal alarm is triggered when the double frequency standards fail, and the control signal is transmitted to a frequency standard switching circuit through a level conversion subunit, so that the trigger timing requirement of a high-speed switching module is met, quick response switching is ensured, the stability in the switching process is ensured, and the whole is reliable and stable.

This invention discloses a method for detecting vibration of external electrodes in lithium-ion batteries based on ultrasonic testing. An ultrasonic pulse receiving piezoelectric plate is fixed to the surface of the lithium-ion battery. The battery is held in place using a charging / discharging instrument. During charging and discharging, the receiving piezoelectric plate receives ultrasonic signals passing through the battery and uploads them to a signal processing unit. A vibration-damping material is added between the clamp and the electrode as a control group. Alternatively, the charging / discharging instrument can be removed, and an ultrasonic pulse emitting piezoelectric plate can be fixed to the electrode. A signal generator drives the emitting piezoelectric plate to emit ultrasonic guided waves, simulating clamp vibration. The ultrasonic guided waves propagate through the battery, are received by the receiving piezoelectric plate, and converted into a response signal, which is then uploaded to the signal processing unit for analysis. This method enables real-time, non-destructive, online detection of electrode-transmitted vibration. It is low-cost, easy to integrate, and provides precise detection paths, which can be used to improve the accuracy of battery experiments and the safety early warning capabilities of battery management systems.

The application discloses a full-band GIS ultrahigh frequency partial discharge pulse non-loss collection system and belongs to the technical field of intelligent sensing of primary equipment. The system comprises a signal collection and conditioning module, a double-channel high-speed ADC module and a high-speed data processing and storage module. The signal collection and conditioning module is used for connecting an ultrahigh frequency sensor signal and performing filtering and amplification preprocessing on the signal. The double-channel high-speed ADC module comprises two independent and synchronous collection channels and is used for synchronously collecting the preprocessed signal in a full band. The high-speed data processing and storage module is used for controlling the alternate collection of the double channels, real-time linear compensation, trigger timing control and real-time signal processing. The intelligent analysis and control module is used for performing real-time analysis and fault diagnosis on the collected data and dynamically adjusting system parameters. The application adopts a double high-speed channel collection single signal and realizes a cooperative working mechanism of mutual backup, effectively avoids pulse loss caused by system processing delay, and improves the accuracy of partial discharge analysis and the intelligent level of equipment state sensing.

The present application relates to the technical field of signal processing, and discloses a muscle tension nerve feedback electric signal data processing method, which comprises preliminary noise reduction, noise suppression, feature extraction, determination of muscle tension baseline and nerve feedback threshold, muscle tension data calculation and correction: a multi-stage noise reduction mode combining sliding average filtering, median filtering and wavelet transform is adopted to effectively remove periodic, pulse and high-frequency noise; the root mean square value and discrete Fourier transform are used to extract features from amplitude and frequency components in multiple dimensions, so as to accurately reflect physiological information such as muscle contraction strength and fatigue state; the muscle tension baseline is determined by collecting individual relaxation state signals, and the nerve feedback threshold is set in combination with subjective feeling, so that the individualization and accuracy of evaluation are enhanced; muscle tension data are calculated in real time, and are dynamically corrected according to energy characteristics of different frequency bands, so that the evaluation result is further optimized, and high-precision and reliable data support is provided for muscle function evaluation and nerve feedback treatment.

This invention discloses a detection device and method for instantaneous broadband and phase-modulated light source signals, belonging to the field of laser signal processing. The detection device includes a polarization-maintaining transmission fiber, a waveguide-type amplitude modulator, a high-speed photodetector, and a signal frequency detector. The detection device provided by this invention features an all-fiber structure, resulting in efficient and accurate detection. It simplifies the performance requirements for the signal generator and facilitates demodulation of the frequency-interval periodic signal carried by the phase-modulated pulse, exhibiting high overall reliability. Furthermore, it can beat the signals of the two branches simultaneously, reducing the bandwidth requirements of the photodetector and avoiding integration of the time-domain signal. This allows for direct differentiation of whether the injected signal is broadband or single-frequency in a specific time slice using ordinary photodetector methods. The invention also provides a calculation process and judgment criteria for analyzing and identifying light source signals. After obtaining the modulation parameters of the injected light source signal, it can automatically and quickly determine whether the signal is an instantaneous broadband light source signal or a phase-modulated light source signal, achieving automatic analysis and judgment of the signal category throughout the entire process.

This application discloses a method, system, electronic device, and storage medium for generating a trigger signal, relating to the field of signal processing. The method includes: continuously buffering N time intervals between N+1 consecutive pulse signals, using a single interval time as the moving step; calculating a set value within the N interval time; wherein the set value is an average or median; the set value is dynamically updated as the N interval time changes; setting the current set value to the time interval between adjacent trigger signals to generate a trigger signal; wherein the first trigger signal is generated when the N+1th pulse signal provided by the encoder is acquired. Based on the aforementioned processing, this application reduces the impact of unstable pulse signals on trigger sampling and maintains the stability of the trigger signal by calculating the average or median value to generate subsequent trigger signals.