529 results about "Phase correction" patented technology

The invention relates to the technical field of cable fault monitoring, in particular to an intelligent cable fault monitoring and early warning method and system, and the method comprises the steps: detecting a sheath circulation phase angle, adjusting the frequency through offset threshold exceeding, extracting de-noising data, injecting pulses, measuring the time delay, correcting the temperature, inverting a carbonization path, matching a conductivity abrupt change generation map, and measuring the attenuation rate to update the carbonization depth. And calculating a correlation factor to trigger early warning. According to the invention, through dynamic detection of circulation phase angle offset, frequency modulation anti-interference data extraction, noise suppression, signal-to-noise ratio improvement, combination of temperature gradient and dielectric correction delay, compensation of signal temperature influence, accurate inversion of a carbonization starting point, and joint analysis of multi-band signal attenuation rate and propagation time, complex working conditions are adapted; a coupling model is established through dynamic comparison of correlation factors and threshold values, layered early warning is performed, phase correction, temperature compensation and multi-band collaborative analysis are fused, and the positioning precision and the evaluation reliability are improved.

The invention relates to a control method of a digital ultrasonic flaw detector calibrating device. The control method comprises the following steps: acquiring shape data and material parameters of a to-be-detected material, calling a matched standard test block, calculating adaptive ultrasonic frequency and flaw detector parameters, creating and solving a multi-objective optimization model, and planning a detection path of the to-be-detected material based on an optimal solution; emitting ultrasonic waves with matched frequency to implant the quantum dot mark array to carry out fluorescence-ultrasonic dual-mode signal correlation calibration; scanning according to a planned detection path, establishing a time-varying channel model to predict a current time delay variation, extracting a fundamental frequency and a harmonic component of a probe excitation pulse by adopting an autocorrelation algorithm to serve as a reference, constructing a state vector of a filter based on the predicted current time delay variation, and performing phase correction on a received signal to obtain a phase correction signal; and analyzing the defect of the to-be-detected material based on the corrected receiving signal. By integrating material parameter dynamic modeling, multi-modal signal collaborative calibration and adaptive path optimization, the detection precision and efficiency under complex working conditions are improved.

The invention discloses an adaptive modulation anti-multipath unmanned aerial vehicle swarm communication method and system based on MIMO-OFDM, and relates to the technical field of wireless communication, and the method comprises the steps: receiving a down-conversion baseband; synchronization and compensation are carried out; removing a cyclic prefix and carrying out fast Fourier transform; estimating a channel and noise on the training and pilot frequency, and correcting a common phase; performing frequency domain equalization and soft decision, forward error correction and cyclic redundancy check according to the estimation to obtain a control parameter, decoding a payload according to the control parameter, and performing statistics to form a link quality indication; modulating coding, bandwidth and spatial mode, configuring mapping, power and weight, and packaging physical layer protocol data; carrier sensing conflict avoiding sending, confirmation and retry are adopted to generate media access statistics; and the routing selects the next-hop multi-hop forwarding according to the transmission quality, and performs end-to-end statistics and recharge. Through cooperation of hierarchical synchronization and phase correction with cyclic prefix and FFT, crosstalk is suppressed, channel noise scale optimization soft decision is robust, data decoupling is controlled, and end-to-end availability is improved through multi-hop self-healing recharge.

The invention is suitable for the technical field of earth surface monitoring, and provides an earth surface deformation monitoring method and system based on a time sequence InSAR, and the method comprises the following steps: carrying out the SAR image screening and interferogram generation, and collecting corresponding meteorological data and thermal infrared data; performing space-time adaptive atmospheric phase correction, taking the air pressure vertical gradient and the temperature anomaly as driving factors of atmospheric delay, and separating an atmospheric phase through a space-time weighted model; dynamic deformation modeling is carried out, and deformation is decomposed into linear deformation and nonlinear deformation; the method comprises the following steps: taking a mining area road network as a geometric constraint, unwrapping a coherent region by adopting a minimum cost flow algorithm, converting an unwrapping phase into sight-line-direction deformation, and calculating horizontal and vertical deformation components in combination with InSAR sight-line-direction deformation and a digital elevation model. The method adapts to a complex deformation mechanism of a mining area by capturing linear and nonlinear deformation. Through sight line deformation and DEM geometric projection, vertical and horizontal deformation separation is realized, and the deformation direction is determined.

The invention discloses an HPLCamp (High Performance Liquid Chromatography) based on deep learning. The invention discloses an HRF dual-mode communication adaptive coding modulation and anti-noise method. The method comprises the following steps: acquiring an optical radio frequency signal amplitude-phase change rate and synchronously sampling and normalizing; calculating a node amplitude-phase residual error to generate a nonlinear mapping coefficient; monitoring coherent change to solve a drift trend, adjusting a modulation coding optimization scheme, compensating distortion and outputting an anti-noise result. According to the method, the instantaneous amplitude and phase of the optical radio frequency dual-mode signal are extracted, a multi-dimensional amplitude-phase characteristic matrix is formed in combination with time domain synchronization and a normalization template, differential residual modeling and nonlinear mapping coefficient calculation are carried out between impedance nodes, and dynamic compensation of amplitude-phase mismatch and envelope offset is achieved. A drift trend quantity is generated based on coherent offset parameter differentiation, feedback is provided for modulation format and coding strategy optimization, amplitude equalization and phase correction are completed, the signal synchronization degree and amplitude-phase consistency are improved, and the steady-state response and anti-disturbance performance of a transmission link are enhanced.

The invention discloses a main power grid short-time load prediction method using a hybrid active filter, and particularly relates to the technical field of load prediction. The method comprises the following steps: acquiring active control parameters and passive branch parameters of a hybrid active filter, combining a real-time load fluctuation signal of a main power grid, extracting harmonic suppression characteristics and phase distortion characteristics, and analyzing and generating a time scale compensation factor through a dynamic coupling effect; and constructing a phase correction model based on the transient harmonic residual component and the time scale compensation factor, and performing frequency domain and time domain combined reconstruction on the real-time load fluctuation signal to obtain a corrected load fluctuation characteristic sequence. A short-time load prediction model is calibrated through a collaborative mapping relation, a load power prediction value of a main power grid in a future preset time window is output, a secondary high-frequency interference signal generated by real load fluctuation and filter self-resonance is effectively distinguished, and the problem of coupling interference of harmonic residual components on the load prediction model in a power grid impedance sudden change scene is solved.

The invention provides an OTFS radar communication integrated signal processing method and system based on time-frequency-space domain joint optimization. According to the method, pilot symbol positions and densities are configured in an OTFS time-frequency grid according to channel time-varying characteristics and bandwidths, and a Doppler index range is set to optimize channel information acquisition; deploying a controllable reflecting surface, constructing a phase modulation matrix based on a target position and communication channel parameters, dynamically adjusting a phase gradient direction, and separating energy of a target echo and a communication signal; within a set Doppler index range, calculating frequency offset estimation, correcting a time domain sampling point of a received signal, and generating a phase correction vector; and positioning a spatial aliasing main interference area, and inhibiting symbol interference and spatial aliasing caused by a high-speed target through frequency domain beam forming weighting and phase rotation compensation in combination with a phase correction vector and a sub-Doppler parameter in the area. According to the invention, time-frequency-space domain cooperative efficient processing of OTFS radar communication integrated signals is realized.

The invention relates to the technical field of control of manufacturing units, in particular to a composite material rod piece winding tension dynamic compensation control method and system. The method comprises the following steps of: calculating an instantaneous linear velocity pulsation quantity caused by the change of a non-circular section contour of a core mold at each moment; according to the dynamic elastic modulus and the equivalent viscosity coefficient, calculating a phase correction factor for representing the viscoelastic response lag of the prepreg tape at each moment; based on the instantaneous linear velocity pulsation quantity and the phase correction factor at each moment, a dynamic compensation torque instruction is obtained, and the dynamic compensation torque instruction is in negative correlation with the phase correction factor; and the dynamic compensation torque instruction is output to the tension unwinding motor, so that the adjustment of winding tension is realized, the accuracy of tension dynamic compensation control is effectively improved, and the product quality is effectively improved.

The invention discloses a distribution transformer state evaluation method, system and device and a storage medium, and the method comprises the steps: obtaining current and voltage long sequence data through high-frequency sampling, and forming a high-quality data set through expert labeling; signal preprocessing is realized by adopting dual-channel adaptive wavelet packet denoising and cross-correlation sinchinger interpolation phase correction; constructing an asymmetric convolution pyramid to extract current high-frequency and voltage low-frequency multi-scale features, and performing cross-modal fusion by using compressed multi-head attention and a channel-space double-gating mechanism; dynamic random depth regularization is introduced, and a time domain loss function in a fault sensitive period is focused, so that high-accuracy and low-delay real-time state evaluation is realized; the capacity of capturing and recognizing early weak fault features of the distribution transformer in a complex operation environment is remarkably enhanced, and therefore more sensitive and more accurate state early warning is achieved.

The invention relates to the technical field of wireless communication, and discloses a compensation method for electronic radio frequency communication. According to the compensation method for the electronic radio frequency communication, the radio frequency signal and the channel state information are acquired, the original data set is generated, and the preprocessing steps of denoising, signal amplitude correction, phase correction and the like are performed, so that the data quality is improved, accurate parameter evaluation is performed by adopting the minimum mean square error, the accuracy of channel characteristic parameters is ensured, and the communication quality is improved. A mathematical model constructed based on the parameters enables calculation of compensation parameter gain and phase deviation to be more accurate, so that attenuation and distortion caused by signal propagation in a channel are effectively compensated, and finally, quality evaluation is carried out on the bit error rate and the signal-to-noise ratio of the compensated signal, so that the compensation effectiveness is ensured, and the signal quality is improved. And if the compensation is invalid, the calculation can be returned in real time for recalculation, so that the quality of the whole signal is improved.

Systems and methods for regaining phase synchronization between a CMTS core and an RPD, where the phase synchronization is regained over repeated temporal periods preferably divided between a first interval having a frequency adjustment of a first magnitude and a second interval having a frequency adjustment of a second magnitude.

The invention provides an unmanned aerial vehicle group cooperative suppression method and system based on a distributed antenna array, electronic equipment and a storage medium, and relates to the technical field of unmanned aerial vehicle group cooperative suppression and anti-interference control. Obtaining airflow pressure distribution information; performing vortex field calculation processing on a fluid motion state by using the information to generate vortex field information containing a disturbance area; dynamically adjusting the phase of the antenna array element based on the eddy current field information, compensating the physical deformation of the array and outputting a compensation result; performing cooperative phase correction processing on distributed antenna array beam pointing by using the result to generate a beam phase compensation amount; and finally, cooperative regulation and control processing is performed on the unmanned aerial vehicle group emission signals based on the compensation amount, and an anti-disturbance suppression wave beam pointing to the target is generated. And continuous directional suppression on a moving target in a strong wind disturbance environment can be realized.

The invention relates to a DBF + LFMCW system zero intermediate frequency radar amplitude-phase high-precision closed-loop near-field calibration system and method. The method comprises the following steps: generating a test signal through a target echo simulator; a test signal is connected to a darkroom probe and is aligned with a certain receiving antenna of the radar, the radar equipment assembly receives the signal and mixes the signal with an internal local oscillator signal to obtain a zero intermediate frequency signal received by the channel, and meanwhile, the amplitude and the phase of the zero intermediate frequency signal are periodically collected and output to a terminal interface; a darkroom probe is controlled to be sequentially aligned with 1-N channels of a radar receiving antenna, zero intermediate frequency signals of each channel are collected and stored, recorded zero intermediate frequency data of all the channels are processed through a channel amplitude phase correction algorithm, and accurate correction of each channel is achieved. According to the invention, the baseband I / Q signals are directly collected and processed, so that accurate compensation of I / Q amplitude-phase inherent errors of each channel caused by DC offset, processing technology and the like can be realized.

The invention discloses a multi-channel audio calibration method, system and device and a storage medium, and relates to the technical field of audio, and the method comprises the steps: collecting and separating a main sound channel signal and a bass sound channel signal in a multi-channel audio signal; detecting time delay between a main sound channel and a bass sound channel based on a phase correlation algorithm, and performing adaptive delay compensation; the state change of the audio signal is monitored in real time, and before or when a signal switching event is detected, gradient gain envelope is applied to the bass sound channel signal, so that the signal amplitude gradually changes to a target value according to a preset nonlinear curve; a sonic boom event is analyzed and identified based on multi-dimensional characteristics, a self-adaptive amplitude limiter with a prospective processing capability is started for suppression, and harmonic distortion compensation and phase correction are carried out on a processed signal, so that the problems of signal asynchronization caused by low-frequency output delay of an audio system in the prior art, and the system reliability is improved are solved. Therefore, the low-frequency sound quality and the system stability are improved.

The invention discloses an ISAR (Inverse Synthetic Aperture Radar) multi-pulse accumulation cross-correlation distance and phase correction system based on an FPGA (Field Programmable Gate Array). The ISAR multi-pulse accumulation cross-correlation distance and phase correction system comprises an upper computer and the FPGA, the upper computer is used for controlling the inverse synthetic aperture radar system to transmit a signal and receiving an echo signal; performing de-line frequency modulation on the echo signal to obtain an echo signal after pulse compression, and preprocessing the echo signal to obtain a to-be-processed echo signal; quantizing the echo signal to be processed, acquiring a quantized echo signal, transmitting the quantized echo signal to the FPGA, and receiving the distance returned by the FPGA and the echo signal after phase correction; and the FPGA is used for executing a multi-pulse cumulative cross-correlation envelope alignment algorithm to perform alignment processing on the quantized echo signal, obtaining a corrected echo signal and returning the corrected echo signal. The register transfer stage circuit based on the multi-pulse cumulative cross-correlation envelope alignment algorithm is designed based on the FPGA, high-parallelization acceleration based on the multi-pulse cumulative cross-correlation envelope alignment algorithm module is achieved, and the processing speed and efficiency of the algorithm are remarkably improved.

The invention discloses a roadbed settlement and landslide hidden danger identification method and system along a traffic corridor, and the method comprises the steps: obtaining a time sequence satellite-borne data set of a target region, and carrying out the format conversion of the data format of the time sequence satellite-borne data set; generating an interference pair network based on the time baseline threshold; generating a filtered differential interference image set; performing differential interference phase unwrapping processing on the filtered differential interference image set to obtain an unwrapped differential interference image set; performing atmospheric delay phase correction on the unwrapped differential interference image set to obtain an unwrapped interference image set after atmospheric correction; calculating to obtain the annual average settlement rate of the linear traffic corridor area and a time sequence accumulated deformation result; based on the annual average settlement rate of the linear traffic corridor area, the spatial settlement gradient field information of the linear traffic corridor area is extracted, the settlement rate and the spatial settlement gradient field information meeting the hidden danger judgment standard are output, the roadbed settlement and landslide hidden danger extraction and recognition result of the target area is obtained, and the road area detection efficiency is improved.

The invention discloses a GNSS anti-interference closed-loop phase self-correction method based on deep learning, and relates to the technical field of satellite navigation and artificial intelligence, and the method comprises the steps: obtaining an anti-interference array output signal and weight information through an array antenna and space-time adaptive processing; extracting a carrier-to-noise ratio, a weight phase feature and historical positioning quality, and constructing a deep learning feature vector; reasoning an array element-level phase correction reference quantity by using a multi-layer perceptron model, and realizing accurate phase compensation of an array output signal by combining phase error layered modeling, quick-change disturbance prediction and weight sensitivity estimation; an anti-interference perception observation covariance dynamic scaling mechanism is introduced into RTK positioning calculation; on-line learning and model updating are triggered through a positioning quality evaluation result, so that the system has an adaptive evolution capability. According to the method, the GNSS carrier phase quality and the positioning precision under the strong interference condition can be remarkably improved, deep fusion of anti-interference processing and high-precision positioning is realized, and the method has important engineering application value.

The invention discloses an array antenna amplitude and phase error correction method, device and equipment and a storage medium, and relates to the technical field of antenna error correction. Carrying out amplitude phase correction on the received input signal; performing amplitude compensation on the signal after amplitude phase correction; and adopting the target phase compensation factor combination to minimize the image entropy after the signal after the amplitude compensation is imaged so as to carry out phase compensation and obtain an output signal. Amplitude-phase correction and amplitude-phase compensation are carried out on the input signal received by the array antenna, and during phase compensation, the target phase compensation factor combination is introduced to minimize the image entropy, so that the amplitude-phase error between array channels can be accurately corrected, azimuth energy leakage of a strong target point after imaging is avoided, and the imaging accuracy is improved. And higher imaging quality and deformation monitoring precision are realized.

A method of generating a timing control signal for controlling the timing of a change of a transformer tap of a transformer is provided. The transformer includes an on-load tap changer including plural respective transformer taps. The method includes monitoring a voltage on a primary side and / or on a secondary side of the transformer to obtain a monitoring signal and deriving, from the monitoring signal, an intermediate signal that is indicative of at least one zero crossing of a tap voltage at the transformer tap. Deriving the intermediate signal includes estimating, based on the monitoring signal, a phase of the monitored voltage to obtain a phase signal and applying to the phase signal a phase correction for a phase shift between the monitoring signal or a signal derived therefrom and the tap voltage at the transformer tap. The timing control signal is derived from the intermediate signal.

The invention relates to a sound box built-in power amplifier remote audio transmission and control method based on 5G communication, and the method comprises the steps: obtaining real-time monitoring data in an audio data transmission process, and generating an initial delay distribution data set for each audio channel; analyzing network delay fluctuation of each audio channel through a timestamp calibration method, and determining a delay reference value; setting a delay deviation threshold range according to the delay reference value, identifying an abnormal channel and recording a delay offset; analyzing a phase relation of the audio data stream after time correction, calculating a phase deviation angle and determining a phase adjustment parameter; performing phase correction on the audio data stream through a digital signal processing module to generate audio signals with consistent phases; detecting tone quality consistency difference among multiple devices, adjusting audio output feature data and optimizing a time window configuration scheme; and dynamically updating the audio channel coordination strategy, and storing correction parameters to a system database.

The invention relates to the technical field of fault prediction and health management, and discloses a membrane envelope wire breakage detection method, which comprises the following steps: constructing a static impedance reference model containing viscoelastic characteristics, and extracting a time constant representing the physical relaxation velocity of an insulating material; performing phase correction operation on the instruction motion attitude coordinate by using the instant motion velocity vector and the time constant to obtain an equivalent physical attitude coordinate; and querying theoretical electrical characteristic parameters in the static impedance reference model by using the equivalent physical attitude coordinates, and carrying out difference calculation on the theoretical electrical characteristic parameters and the measured values to calculate a residual error characteristic sequence so as to evaluate the health factors. And due to measurement reference deviation caused by viscoelasticity lag of the high polymer material, accurate capture and trend prediction of weak early damage signals are realized.

The invention discloses a centralized phased array beam control method and system based on an FPGA, and relates to the technical field of phased array beam control, and the method comprises the steps: carrying out the real-time iterative operation through an incremental adaptive correction kernel in a centralized control FPGA, and obtaining an amplitude-phase correction increment and a corresponding target effective frame number; performing increment differential coding on the amplitude-phase correction increment and the corresponding target effective frame number in a centralized control FPGA (Field Programmable Gate Array) to generate an increment differential beam control message; sending the increment difference beam control message to an array element FPGA (Field Programmable Gate Array) at the front end of an array, executing frame-level atom switching according to a target effective frame number, and fusing the amplitude-phase correction increment and a locally stored old beam control weight in the switching process to obtain a final array element beam control weight; generating a real-time beam control directional diagram based on the final array element beam control weight; the stability and convergence precision of beam control are improved, and the bandwidth requirement of a control link is reduced.

The invention relates to the technical field, and discloses a ground-based synthetic aperture radar atmospheric phase correction method and system, and the method comprises the steps: sequentially carrying out the permanent scattering point selection and phase unwrapping of collected time sequence single-view complex image data, and obtaining the first time sequence interference phase data of a permanent scattering point in the time sequence single-view complex image data; performing time sequence clustering analysis on the first time sequence interferometric phase data to obtain a plurality of permanent scattering point homogeneous regions, and performing atmospheric phase local correction on the first time sequence interferometric phase data of the permanent scattering points in each permanent scattering point homogeneous region by adopting a pre-constructed atmospheric phase correction linear model to obtain a plurality of permanent scattering point homogeneous regions; and performing time sequence low-pass filtering processing on the obtained second time sequence interference phase data corresponding to the permanent scattering points in each permanent scattering point homogeneous region to obtain corrected deformation image data corresponding to each permanent scattering point homogeneous region. According to the method, the precision of atmospheric phase correction is effectively improved.

The embodiment of the invention provides a signal demodulation method and device, a satellite communication ground receiver and a storage medium, and relates to the field of satellite communication. According to the method, accurate timing capture is realized by performing coarse synchronization on an original received signal, and then the problem of carrier lock loss caused by large-amplitude Doppler frequency shift caused by high-speed motion and the change rate of the large-amplitude Doppler frequency shift is effectively solved by adopting a mode of combining frequency offset correction and dynamic frequency offset compensation; furthermore, a full-field phase compensation sequence is constructed, point-by-point phase correction is implemented, and phase deviation changing along with time is accurately recovered by utilizing an unwrapping and interpolation technology, so that interference of phase ambiguity on demodulation is avoided; and finally, symbol judgment and data demodulation are carried out on the basis of completing frequency and phase double fine correction, so that the error rate is greatly reduced, the robustness and reliability of a satellite communication system under an extreme channel condition are enhanced, and stable and efficient signal recovery under a large-frequency-offset, high-dynamic and low-signal-to-noise-ratio scene is realized.

The present invention provides a time-series InSAR interseismic deformation interferogram correction and screening method, which belongs to the field of measurement technology and specifically includes: step 1, using the GACOS method to perform atmospheric correction on the original interferogram set, then using the improved CANDIS method to perform perturbation phase correction, and performing line-of-sight plate motion phase correction based on the plate model to obtain a long-term corrected interferogram set; step 2, using the Pearson correlation coefficient between the interferogram and the interseismic deformation model and the standard deviation of the interferogram to screen the long-term corrected interferogram set to obtain a target interferogram set; step 3, based on the target interferogram set, using the intermittent stacking method to set the intermittent coherence pixel number threshold to generate the InSAR average interseismic deformation velocity field. The solution of the present invention improves the accuracy and adaptability of interseismic deformation signal extraction.

Provided herein are various enhancements for processing interference fringe data produced by optical interferometry and producing images from such interference fringe data. One example implementation includes a method comprising producing an interference fringe image by interfering multispectral optical signals of a scene supplied by optical collection devices. The method includes transforming the interference fringe image into a frequency domain representation comprising spectral channels corresponding to interfered combinations among the multispectral optical signals, determining pathlength errors of beam paths associated with the optical collection devices by concurrently processing the spectral channels of the frequency domain representation, and removing the pathlength errors in the frequency domain representation to produce a corrected frequency domain representation. The method also includes constructing a corrected image of the scene from visibility samples arising from the corrected frequency domain representation.

The invention discloses a quantum key distribution system based on PZT phase modulation and a PZT phase correction method. The method specifically comprises the following steps: determining expected working voltages of a first PZT and a second PZT; dynamically adjusting the working voltage of the first PZT based on the current detection error rate of the first zero-beat single-photon detector SPD or the second zero-beat single-photon detector SPD and the deviation distance between the current working voltage of the first PZT and the expected working voltage; and dynamically adjusting the working voltage of the second PZT based on the detection error rate of the third zero-beat single-photon detector SPD or the fourth zero-beat single-photon detector SPD and the deviation distance between the current working voltage and the expected working voltage of the second PZT. The PZT is used as the phase modulator, phase modulation is performed on light quantum, passive decoding is performed according to the response of the detector, the phase modulator does not need to participate in modulation, high-speed quantum random number resources of 2bit / photon are reduced, and the practical application cost and difficulty of the high-speed quantum key distribution system are greatly reduced.

The invention provides a nuclear magnetic resonance spectrogram analysis method and system, and relates to the technical field of mass spectrometry, and the method comprises the following steps: carrying out Fourier transform on an original FID signal of a to-be-detected solution to obtain a corresponding frequency domain signal; after carrying out phase correction processing on the frequency domain signal, determining positions of a plurality of candidate peaks from the frequency domain signal according to a second derivative; grouping the candidate peaks based on the distance parameter between the adjacent candidate peaks to obtain a plurality of first candidate peak groups; if the difference value between the maximum peak height and the minimum peak height of the candidate peaks is greater than a first preset threshold value, filtering partial candidate peaks in the first candidate peak group; if the difference value between the maximum peak value of the abnormal candidate peak group and the maximum peak value of the first candidate peak groups on the two sides is greater than a second preset threshold value, filtering the abnormal candidate peak group to obtain a target candidate peak group; and performing parameter fitting on the candidate peaks in the target candidate peak group by using a least square method, and determining the solvent peak position and the water peak position.

The invention provides a chip testing method and device, and belongs to the technical field of chip testing. The method comprises the steps that an intermediate clock with the frequency the same as that of an input channel-associated clock in a test excitation signal is generated through a high-frequency clock signal, and the frequency of the high-frequency clock signal is larger than that of the input channel-associated clock; adjusting the phase of the intermediate clock according to the time sequence parameter of each tested chip, and generating a phase correction associated clock; and replacing the input associated clock based on the phase correction associated clock to update the test excitation signal so as to test each tested chip by using the updated test excitation signal. Independent time sequence compensation of each chip is achieved through high-frequency signal dynamic high-precision phase adjustment, the limitation of a traditional single time sequence parameter is broken through, and flexible consideration of the test rate and the test number is achieved. From the aspect of deployment, the design process and the file format of the original test system do not need to be modified, the compatibility is good, the universality and the deployment efficiency are improved, and the deployment cost is reduced.

The application relates to a kind of diffractive optical element beam shaping methods based on spatial frequency filtering, obtain incident light beam, based on the homogenization light beam of preset, obtain corresponding geometric analytical phase distribution;Adjust the homogenization light beam to rectangular flat-top light beam, the phase correction processing of obtained geometric analytical phase;Based on spatial frequency filtering method processing the geometric analytical phase after phase correction, get the light field regulation and control distribution requirement after processing, the light field regulation and control distribution requirement after processing has phase and amplitude regulation and control requirement simultaneously;Design diffractive optical element, make it realize the light field regulation and control distribution requirement required, and utilize the diffractive optical element to realize the incident light beam shaping as the rectangular flat-top light beam.The application can realize the light beam homogenization effect of high uniformity, edge sharp and high diffraction efficiency, and obtain wide application prospect in laser welding, photoetching and biomedical and other aspects.