57 results about "Pulse stream" patented technology

The invention relates to the technical field of equipment fault prediction, in particular to a cup labeling equipment fault prediction method and system based on machine learning. According to the method, equipment operation state parameters are converted into a multi-mode pulse sequence with a timestamp synchronization characteristic; loading the purified pulse flow to a quantum bit array for entanglement state evolution, and extracting a three-mode entanglement association tensor; carrying out dimensionality reduction projection on the three-mode correlation tensor to an equipment degradation manifold space, and determining quantum tunneling probability density distribution; constructing a time-varying Hamiltonian of an equipment degradation state based on quantum tunneling probability density distribution, and generating a degradation track cluster according to the time-varying Hamiltonian; and performing time sequence convolution processing on the degradation track cluster, performing probability amplitude amplification on a fault critical point in the track cluster by using an energy level splitting characteristic of a time-varying Hamiltonian, and generating a space-time probability cloud picture. The fault evolution law can be visually presented, the accuracy and timeliness of early fault early warning are improved, and a reliable basis is provided for predictive maintenance.

The invention relates to the technical field of artificial intelligence, and discloses a spiking neural network-based robot control method, which comprises the following steps of: acquiring dynamic visual information of an external environment, and encoding the dynamic visual information to generate a dynamic visual pulse stream; collecting motion state information of the robot, and encoding the motion state information to generate a motion state pulse code; through a pulse attention gate control mechanism, computing resources of the pulse neural network are dynamically allocated according to task priorities; inputting the dynamic visual pulse streams and the motion state pulse codes into a pulse neural network, processing the dynamic visual pulse streams and the motion state pulse codes by the pulse neural network according to computing resources, and outputting dynamic visual features and motion state features; fusing the dynamic visual features and the motion state features to generate a visual-motion pulse signal; and converting the vision-motion pulse signal into a motion control instruction, and controlling the robot to execute a corresponding action according to the motion control instruction.

The invention discloses a frequency agility radar signal sorting and individual clustering method combining inter-pulse and intra-pulse characteristics. The method comprises the following steps: screening an original pulse stream to obtain a screened pulse stream; performing frequency domain filtering on the intermediate frequency data corresponding to each pulse after screening to obtain corresponding intermediate frequency filtering data, and performing down-conversion on the intermediate frequency filtering data of all the pulses after screening to the same frequency to obtain preprocessed intermediate frequency data of each pulse after screening; sorting all pulses corresponding to the preprocessed intermediate frequency data based on the pulse description word of each type of radar to obtain a cluster of the corresponding type of radar; based on an intra-pulse fingerprint feature extraction mode, extracting a fingerprint feature vector corresponding to each cluster after sorting; and clustering the fingerprint feature vectors based on an FCM clustering algorithm of a joint parameter optimization K value to obtain an individual clustering result of the radar of the corresponding model. According to the invention, more accurate radar individual clustering can be realized.

The invention provides a three-dimensional depth estimation method based on pulse streams, and belongs to the technical field of three-dimensional computer vision and neuromorphic imaging. The method comprises the following steps: (1) constructing a training and testing data set of a synthetic pulse stream; (2) constructing a pulse stream data set of a real scene; (3) constructing a three-dimensional depth estimation network model based on the pulse flow; (4) training a three-dimensional depth estimation network model based on the pulse flow; and (5) performing depth prediction by adopting the trained pulse stream-based stereo depth estimation network model. According to the invention, depth estimation can be directly carried out from the original pulse stream data, and a high-definition depth image is obtained without sequence framing or other post-processing; compared with an existing method, the method has better interpretability and higher prediction precision under a pulse flow data test set through iterative updating of the multi-layer and multi-scale cyclic pulse neural network and an algorithm of the pulse neural network.

The present invention provides a PRI estimation and pulse sequence extraction method and device, belonging to the field of radar signal sorting. The method comprises the following steps: obtaining a TOA sequence and a preset PRI value range of a pulse stream; calculating a PRI spectrum based on the TOA sequence, comparing the amplitude of the PRI spectrum with a detection threshold, and obtaining a potential set of non-jittered PRI values; segmenting the TOA sequence, calculating the amplitude of the PRI spectrum for each segment of data, and superimposing the PRI spectrum to obtain a segmented superimposed PRI spectrum, which is then compared with the detection threshold to obtain a potential set of jittered PRI values, and determining a current round of estimated PRI values ​​based on a PRI value identification criterion; and separating corresponding sequences of the estimated PRI values ​​using an improved DAG algorithm. The present invention accurately estimates potential PRI values ​​in a mixed radar signal based on the PRI spectrum, and the PRI spectrum has strong robustness against pulse omissions, false pulses, and noise uniformity, and has good adaptability to different types of PRIs.

An optical transmitter for quantum key distribution. The transmitter comprises a first and a second. Each laser is configured to emit phase-randomised pulses. The transmitter further comprises an optical combiner configured to combine the pulses emitted from the first and second laser into a combined stream of pulses based on an adjustable combining ratio. The transmitter further comprises a Mach-Zehnder interferometer with a short and a long arm. The interferometer has an input port configured to receive the combined stream of pulses and an output port configured to provide an output of the interferometer. At least one of the arms comprises a phase controlling element to control a phase between the short and long arm.

The invention provides a radar signal sorting method based on an enhanced Transform cascade architecture (ETCA), and solves the limitation of a traditional method on novel radar and overlapped pulse flow classification. The core of the method is developed around model structure design, a model training method and a model reasoning method. The model structure design is integrated with a bidirectional LSTM time sequence encoder, a nuclear attention enhanced Transform feature refiner and a feature adapter; the model training method adopts a full-participation pre-training combined online increment adaptation strategy; according to the model reasoning method, a preprocessed pulse description word sequence serves as input, after pre-training model feature extraction is called, the probability is output through an adapter, and the maximum value serves as a sorting result. The method rapidly adapts to the dynamic complex electromagnetic environment, and high-precision sorting is achieved.

The application discloses a neuromorphic auditory event-based anti-reverberation processing method and system for security scene abnormal voiceprint recognition, which comprises the following steps: acquiring an asynchronous auditory event sequence in a high-reverberation space; anchoring an initial pulse cluster triggered by a direct sound wave and extracting the same as a reference feature; constructing a channel-level dynamic refractory period mask window based on the reference feature and an estimated reverberation duration; determining a newly-arrived pulse cluster similar to the reference feature as a delayed ghost pulse generated by an echo and intercepting and filtering the same within the mask window action period, so as to generate a pure pulse stream; and inputting the pure pulse stream into a pulse neural network for recognition. The application effectively filters out redundant pulses generated by physical echoes from a data source in a native asynchronous pulse domain, avoids high-cost waveform reconstruction, can effectively prevent the subsequent pulse neural network from making a misjudgment and power saturation due to redundant data, improves the accuracy, robustness and real-time performance of the system in the abnormal voiceprint recognition under a high-reverberation environment, and meanwhile, retains the low-power consumption advantage of event-driven sensing.

The invention discloses a PRI sorting method and system in a complex electromagnetic environment, and the method specifically comprises the steps: carrying out the sorting and extraction of a pulse sequence through employing a dynamic two-dimensional feature vector matching algorithm, and obtaining a pulse sequence of a fixed and staggered PRI modulation signal; then carrying out sorting extraction on the residual pulses by using a square sine interpolation algorithm to obtain a pulse sequence of the jitter PRI modulation signal; then, through a feature recognition method, obtaining modulation features of the pulse sequences of the fixed and staggered PRI modulation signals and the pulse sequences of the jitter PRI modulation signals; and finally, carrying out intra-frame blending on the sorting result of the pulse stream, and carrying out inter-frame blending on the sorting result of the previous pulse stream to finish sorting. According to the method, the PRI sorting accuracy is improved, the batch increasing phenomenon is reduced, multiple PRI modulation patterns can be sorted and recognized, the pulse sequences belonging to different radar radiation sources are separated from a large number of mixed radar signals, and a reliable data basis is provided for subsequent recognition, positioning and confrontation.

The application discloses a time-domain-based analog Softmax and Top-K calculation circuit, and belongs to the technical field of integrated circuits and artificial intelligence accelerator. N The circuit comprises one parallel analog channel and a global module. The analog channel comprises a voltage-controlled oscillation unit, an edge pulse shaper, a state latch and an output control switch, and is used for converting an input analog voltage into an extremely narrow pulse stream with a corresponding frequency; the global module comprises normalization logic, Top-K logic and global control logic, and is used for counting the total number of global pulses and the winning state of the channel, and jointly issuing a channel enable bus; through the analog channel and the global module, exponential normalization and feature screening are originally completed in the analog time domain, and high-precision analog-to-digital converters and digital divider trees required by each channel are completely saved; moreover, through a pulse competition screening Top-K mechanism, the processing of redundant data and dynamic power consumption overhead are completely eliminated, and the energy efficiency ratio of an AI chip is improved.

An optical transmitter for quantum key distribution. The transmitter comprises a first and a second. Each laser is configured to emit phase-randomised pulses. The transmitter further comprises an optical combiner configured to combine the pulses emitted from the first and second laser into a combined stream of pulses based on an adjustable combining ratio. The transmitter further comprises a Mach-Zehnder interferometer with a short and a long arm. The interferometer has an input port configured to receive the combined stream of pulses and an output port configured to provide an output of the interferometer. At least one of the arms comprises a phase controlling element to control a phase between the short and long arm.

The application belongs to the technical field of image processing, and discloses a pulse video signal visualization FPGA hardware and a reconstruction method, which comprises a Capture module, an SNN_IP algorithm module and a MIPI_OUT module, the Capture module is used for storing a pulse signal captured by a camera and pre-processing the pulse signal, the SNN_IP algorithm module is used for reconstructing gray pixel data from the pre-processed pulse data by using a TFP algorithm, and the MIPI_OUT module is used for parallel output of the reconstructed pixel data.The application solves the problem in two parts of algorithm optimization and system level optimization respectively. In the aspect of algorithm optimization, the TFP algorithm is used to process the video pulse stream on the reconstruction algorithm, and the fast reconstruction of the pulse pixel is realized. In the aspect of hardware level optimization, the pipeline structure is adopted, and the running time is greatly reduced under the premise of limiting resources.

The invention discloses a beam position division method, system and device for phased array radar echo pulse signals and a medium, and relates to the field of beam position division, and the method comprises the steps: obtaining aliasing echo pulse signals of multiple types of phased array radars; constructing a pulse width prior knowledge base; the pulse width priori knowledge base comprises a plurality of pulse width typical value ranges of echo pulse signals; purifying and cleaning the aliasing echo pulse signal according to the pulse width typical value range to obtain echo pulse flows of phased array radars of various models; based on the pulse amplitude dynamic threshold, performing preliminary wave position division on the echo pulse streams of the phased array radars of various models to obtain a plurality of initial wave positions of the phased array radars of various models; and based on the characteristic parameters of the echo pulse signals, carrying out combination and secondary division on the plurality of initial wave potentials of the phased array radars of various models. According to the invention, the accuracy and efficiency of wave potential division are improved.

The application discloses a LOS state detection circuit for an SFP optical module, which comprises an input inversion module, a signal conditioning and pulse expansion module and a threshold comparison and decision module connected in sequence. The input inversion module comprises a receiving original port link state indication signal, which is used for logical inversion of the original signal and enhancement of driving capacity. The signal conditioning module converts the data pulse stream output by a PHY chip into a smooth direct current voltage by using peak holding and RC expansion technology. The threshold comparison module intelligently judges whether the voltage represents valid signal activity through a hysteresis comparator, and finally outputs a hardware LOS signal which strictly conforms to the SFP MSA standard and is highly stable. The application realizes reliable optical signal loss detection in a full hardware mode, solves the problems of unstable output and easy misjudgment of a traditional scheme, and has the advantages of low cost, small area, fast response and high reliability, and is particularly suitable for integrated SFP optical module design.

The invention provides a digital orthogonal phase-locked amplifier based on a Sigma-Delta modulator. Comprising a Sigma-Delta modulator, a digital low-pass filter, an orthogonal phase-locked amplifier, a dynamic threshold module and a scaling multiple calculation module, the output end of the Sigma-Delta modulator is electrically connected with the input end of the digital low-pass filter, and the Sigma-Delta modulator is used for performing noise shaping on an input digital signal, converting the input digital signal into a high-speed low-resolution digital pulse stream and pushing quantized noise energy to a high-frequency area outside a target frequency band; the output end of the digital low-pass filter is electrically connected with the input end of the orthogonal lock-in amplifier, and the digital low-pass filter is used for filtering high-frequency quantization noise and downsampling a high-speed pulse flow into a high-precision multi-bit digital signal in a target frequency band, and the high-dynamic-range and low-noise weak signal detection can be realized on the premise of low cost.

This invention relates to the field of image recognition and automated control technology, specifically disclosing an automatic sorting and defect detection system for toy parts based on image recognition. The system includes an event vision sensing module, an asynchronous pulse stream processing module, a multimodal feature fusion and defect determination module, and a high-speed sorting execution module. By capturing the asynchronous pulse stream of part movement through an event camera, a blurred spatiotemporal contour is reconstructed and adaptively fused with global color image features. This achieves high-precision identification of part categories and simultaneous detection of multiple defects such as size, scratches, and color unevenness, ultimately driving the execution mechanism to complete the sorting. This invention improves detection accuracy, speed, and system robustness.

The application discloses a bionic vision optimization method and imaging device suitable for adapting to GIS internal signal strength, and belongs to the field of GIS internal discharge imaging technology.The method comprises the following steps: constructing an event pulse stream acquisition model based on bionic vision perception, collecting event pulse stream signals caused by different discharge phenomena in GIS; preprocessing the event pulse stream signals and calculating bionic vision sensor imaging accuracy; performing offline learning, optimizing the bionic vision light intensity change threshold, and outputting the optimal light intensity change threshold of all to-be-learned discharge phenomena; and utilizing the event pulse stream acquisition model to detect the light intensity change in GIS in real time and perceive different discharge phenomena in GIS.The application designs a bionic vision optimization method which can realize closed-loop feedback optimization between offline learning and online application, has high imaging accuracy and conforms to actual conditions, can accurately detect different discharge phenomena of GIS, and improves the GIS device imaging efficiency and the imaging recognition accuracy of GIS discharge phenomena.

The invention discloses a real-time simulation resolving system for a complex electromagnetic environment. The system adopts a heterogeneous architecture combining radio frequency scene real-time resolving software and a hardware acceleration unit. Comprising a high-performance computing processing platform, radio frequency scene real-time resolving software and a hardware acceleration unit. The core of the system is that task division is realized through software and hardware cooperation: the calculation processing platform runs radio frequency scene real-time resolving software and is responsible for executing beat-level calculation, including analysis of a guide instruction and an external message, generation of a radiation source signal template and calculation of scene characteristic parameters; the hardware acceleration unit is specially used for pulse-level calculation, generates and modulates a multi-path radiation source pulse sequence in real time according to a signal template and scene characteristic parameters, and finally outputs a high-density staggered pulse stream through a high-speed optical fiber interface after interweaving and sorting. By means of the beat-pulse secondary calculation model, the problems that a traditional scheme is poor in real-time performance and low in fidelity are effectively solved, environment pulse density real-time calculation not lower than one million pulses per second can be supported, and the high-precision and real-time performance test verification requirements of electronic information equipment in the complex and changeable electromagnetic environment are met.

The invention provides a labyrinth pulse flow type micro-channel liquid cooling heat dissipation module which is arranged by being matched with a plurality of heat sources arranged in an array, so that all the heat sources obtain relatively stable uniform-temperature heat dissipation performance, stable and reliable operation of a product is ensured, the structure is simple, and excessive product space is not occupied. The heat exchanger is adaptive to a product with N rows of heat sources in the width direction, and N is a natural number larger than or equal to 3. The lower cover plate comprises a reference plane area and a flow channel assembly formed in a downward concave mode, the flow channel assembly comprises an inlet flow dividing channel, an outlet flow collecting channel, (N-1) sets of flow dividing channels arranged in parallel and a set of flow collecting heat dissipation channels, and the flow collecting heat dissipation channels are arranged corresponding to the heat sources in the corresponding columns on one side of the width direction; the inlet shunting channel is respectively communicated with the inlet of each group of shunting channels; a liquid inlet assembly; and a liquid outlet assembly.

Method and system for determining a pulse repetition frequency (PRF) pattern from a stream of pulses are disclosed. Intervals between successive pulses are determined and stored in a buffer at sequential indices, designating a first interval as a reference value, and specifying a lower bound, Kmin, of a number of intervals within the PRF pattern. Initial Kmin interval values are entered in an array, and each subsequent interval that differs from the reference value is appended to the array. Upon reading a value matching the reference value, determining a count of entries, identifying a number of successive values matching successive entries from start of the array. If the number is less than the count, adding the number of successive values, in addition to each succeeding value from the buffer that precedes a value matching the reference value, and continue appending. If the number reaches the count, PRF pattern is determined.

A turbine flowmeter for smart metering the discharge of the liquid flow ingoing therein and recovering the head of the measured liquid flow outgoing therefrom, in which the ingoing liquid flow is converted by the ingoing liquid flow converting assembly to one of the substantial spiral pulsing liquid flow, further oncoming onto a turbine to force it rotate impulsively at a speed proportional to the rate of the liquid flow, converging the on-going spiral pulsing liquid flow outgoing from the turbine by the convergent nozzle, diverging the on-going spiral liquid pulsing flow by divergent nozzle, further the diverging on-going spiral liquid pulsing flow is pumped by screw type pump, converted by axial fluid convertor to one of the substantial axial pulsing liquid flow, which is stopped and accumulated in the liquid head recovering chamber of the fluid collector, in which the pressure surges, caused by one of the substantial hydraulic shocks produced by the axial pulsing liquid flow impinging upon the accumulated liquid, are applied for recovering the head of the liquid, further outgoing from turbine flowmeter; where the discharge of the liquid flow is metered by the liquid flow discharge smart metering assembly, in which the hermetic measuring rotor houses the circumferentially arranged inductive coreless coils, rotates synchronously with the turbine between the magnetic stators provided with circumferentially arranged magnets for producing the circumferentially arranged alternating magnetic fluxes, when the inductive coreless coils cross it, cause to induce the electric signals, which are measured to compute the operable data associated with the liquid flow discharge, further the wireless communications of the light type code Morse enable readable the operable data, and where the magnetic stators and the hermetic measuring rotor are operated in the throat between the convergent and divergent nozzles in a path of the measurable liquid flow. Thus, the overall design has improved accuracy, smart secured metrology, liquid head recovering feature, and simple construction.

The present invention provides, a device for a controlling a quantum computer is provided. The device comprises a Quantum Computer Control System, QCCS, channel. The QCCS channel comprises a transceiver configured generate a 1-bit pulse stream and modulate the 1-bit pulse stream by pulse density modulation to generate a modulated signal, a low pass filter configured to filter the modulated signal and output a corresponding qubit control signal for a quantum computer. The invention further comprises a corresponding system, method and a use of a transceiver for controlling a qubit of a quantum computer.

A high-efficiency facial expression recognition method based on a double-branch pulse Transformer, the method comprising: an image acquisition module acquires a facial original image; an image preprocessing module performs a preprocessing operation on the facial original image to obtain a facial standard image; a pulse space-time coding module in a facial recognition network converts the static space features of the facial standard image into a space-time pulse stream to construct a facial feature pulse sequence stream; a multi-scale feature extraction module performs hierarchical feature extraction and long-range dependence modeling on the facial feature pulse sequence stream to obtain global spatial distribution features; a cross-branch guided fusion module performs cross modulation and integration of multi-dimensional expression representation on the global spatial distribution features to obtain a feature representation tensor; and a pulse classification output module performs decision reasoning on the feature representation tensor and outputs a facial expression recognition result. Effect: high-precision facial expression recognition can be realized under ultra-low power consumption.

The invention relates to the technical field of radiation source identification, and provides a pulse stream segmentation and signal pattern identification method and device. The method comprises the following steps: performing outlier detection on a radar pulse stream sequence to determine an anchor point; segmenting the radar pulse stream sequence into a plurality of pulse subsequences according to the anchor points; performing feature extraction on the plurality of pulse subsequences to obtain original features; re-weighting the original features to obtain features to be classified; and predicting a signal pattern of the to-be-classified features to calculate classification loss, and iteratively updating to obtain a target recognition model so as to use the target recognition model to perform signal pattern recognition on the plurality of segmented pulse subsequences. According to the method, the problem that the performance of a radar signal pattern recognition algorithm is reduced due to the fact that outliers exist in a radar pulse flow sequence is solved.

The invention provides a behavior recognition method and device. The method comprises the following steps: acquiring a pulse stream of a to-be-recognized object; for any time scale in a plurality of predefined time scales, segmenting the pulse stream into a plurality of sub-pulse streams according to the time scale; performing feature fusion on all the sub-pulse streams corresponding to the plurality of time scales to obtain pulse fusion features; the pulse fusion feature comprises light intensity change information of each pixel under a plurality of time scales; restoring the pulse fusion features to obtain a plurality of video frames; for any video frame, calculating the deterministic weight of the video frame according to the probability values of the plurality of behavior categories in the video frame and the total number of the plurality of behavior categories; and predicting a target behavior of the to-be-identified object according to the probability values of the plurality of behavior categories in the plurality of video frames and the deterministic weight of each video frame. According to the embodiment of the invention, the key features in the blurred image are enhanced, the target behavior recognition capability is improved, and the unmanned aerial vehicle has higher target perception capability in a complex environment.

The present invention discloses a data processing method and system based on an artificial intelligence chip, relating to the field of artificial intelligence technology. The method includes: acquiring original data to be processed, performing preprocessing to extract feature vectors, and converting the feature vectors into sparse pulse sequences through a spatio-temporal encoder; a photon pulse stream transmitted through the shortest optical path triggers a memristive array through optoelectronic conversion, and performs multiply-accumulate operations in the memristive cells based on Ohm's law and Kirchhoff's law, and online adjusts the conductance value using the STDP rule to generate a final pulse sequence; performing error code detection on the final pulse sequence, and when it is detected that the error rate exceeds a set threshold, switching to a standby nanowire electronic link for parity bit transmission and retransmission request, and outputting a verification result; the present invention ensures the integrity and accuracy of data by performing error code detection on the final pulse sequence and switching to a standby nanowire electronic link for parity bit transmission and retransmission request when necessary.

The application discloses a wave front detection system and method based on a pulse camera, and belongs to the technical field of adaptive optics. The system comprises a micro optical unit for dividing an incident wave front into a sub-spot array; a pulse camera, whose photosensitive surface is located at the focal plane of the micro optical unit, for receiving the sub-spot array and outputting spot change information in the form of an asynchronous pulse stream; and a data processing unit for processing the pulse stream in real time, outputting a transient wave front phase through pulse classification, centroid calculation and wave front reconstruction. The application utilizes the high time resolution and asynchronous output characteristics of the pulse camera, can track the high-speed movement of a spot with a precision of microseconds, significantly improves the time resolution and dynamic range of wave front detection, and is suitable for fields such as astronomical observation, high-speed flow imaging, laser communication and the like which require high-frequency and large-aberration measurement.

The utility model discloses a jet pulse fluidization rocking screen which comprises a machine frame, a screen box and a screen device, the screen device is provided with at least one screen set, and each screen set is composed of a plurality of layers of screens arranged from top to bottom. A pulse blowing device is arranged below the screen group in the screen box, the pulse blowing device is provided with a plurality of blowing pipes, an airflow pipe and a shunt pipe, the blowing pipes are horizontally arranged at intervals, and a plurality of air jet hole rows which are arranged at intervals are formed in the surfaces, facing the screens, of the blowing pipes; each air injection row is composed of a plurality of air injection holes arranged at intervals in the circumferential direction of the air blowing pipes, the airflow pipes are communicated with the air blowing pipes in a one-to-one correspondence mode through a plurality of flow dividing pipes, and a pulse air generating device for providing pulse airflow for the airflow pipes is installed outside the screen box. A dust removal pipe communicated with the hollow cavity of the screen box is installed on the outer side wall of the screen box and located below the screen mesh device, and a dust removal mechanism communicated with the dust removal pipe is arranged on the screen box. Compared with the prior art, the jet effect of airflow is good.

A radar pulse stream sorting method based on wide-range embedding and mask interleaving includes the following steps: Step 1: preprocessing the target template time series signal; segmenting the time series data through a sliding window; Step 2: processing the data to generate simulated data, upgrading the data from the original multivariate time series to a wide-range embedding space as the input of the network; Step 3: masking the wide-range embedding space generated after conversion using the wide-range embedding method with a probability; Step 4: determining the loss function, optimizer, and learning strategy to obtain a network model; Step 5: inferring the model and adding a correction algorithm to the output result, performing sliding window sequence segmentation on the multivariate time series signal data composed of interleaved radar pulse descriptors in the inference stage, and serving as the input of the model inference stage. The present invention realizes high-granularity, sample-level pulse labeling and sorting for high-density interleaved radar pulse sequences.

The invention relates to the technical field of power electronic measurement, and discloses a current transformer zero flux control method and system based on magnetic potential balance constraint, and the method comprises the steps: converting a current signal of a current transformer into a pulse sequence, and generating an event drive data format; processing the pulse sequence by using an event-driven wavelet decomposition algorithm, and outputting a multiband pulse stream; analyzing the multiband pulse stream, and calculating a coupling relationship between frequency components; calculating a magnetic potential balance compensation parameter by using a pulse frequency coding algorithm based on the coupling relationship between the frequency components; the magnetic potential balance compensation parameters are converted into an asynchronous control pulse sequence, and compensation current is generated and output to a magnetic potential balance execution mechanism; by introducing a neuromorphic calculation and event-driven processing mechanism, the problem of inherent delay of a traditional synchronous clock sampling method is solved, and microsecond-level response control over the current transformer in the high-frequency switching power supply system is achieved.