43 results about "Waveform matching" patented technology

The invention relates to a wireless power transmission system parameter identification method based on a time domain differential model, and belongs to the technical field of wireless power transmission system control. The method comprises the following steps: establishing a parameterized time domain dynamic physical model; collecting system dynamic response data; constructing an optimization target based on a time domain residual error; and performing optimal parameter estimation based on iterative optimization. According to the method, a time domain dynamic physical model of a wireless power transmission system is constructed, and unknown parameters are solved through an iterative optimization algorithm with a minimum waveform matching error as a target. According to the algorithm, in an iteration process, a physical model is called to carry out forward differential equation solution, a time domain residual error between a model solution current and a real measurement current is used to drive a parameter estimation value to converge, and finally high-precision and high-robustness wireless power transmission system parameter identification under any working frequency is realized. The problem that in the prior art, due to static stiffness and sensitivity to waveform distortion of a theoretical model, the identification precision is insufficient is effectively solved.

The invention provides an electricity stealing detection method based on line loss, non-intrusive monitoring and dynamic time warping, and the method comprises the following steps: analyzing the electricity consumption of a user in a power distribution area with an abnormal daily line loss rate, and generating the line loss evidence of a suspected user; comparing the load data of the suspected user obtained based on the non-intrusive load monitoring with the power consumption behavior of the suspected user, and generating a contradictory evidence that the power consumption behavior has contradictions; based on the current waveform library of the electricity stealing behaviors, analyzing the similarity between the user current waveform of the suspected user and an electricity stealing waveform template recorded in the current waveform library, and generating waveform matching evidence; and based on the line loss evidence, the contradiction evidence and the waveform matching evidence, weighting and fusing to obtain the comprehensive score of the suspected user, and screening the target electricity stealing user. The electricity larceny detection method based on line loss, non-intrusive monitoring and dynamic time warping has the advantages of high efficiency, high precision, low cost and strong interference capability, and can effectively identify electricity larceny users.

The invention discloses a laser radar multi-target ranging method and system based on adaptive waveform matching, and relates to the technical field of laser ranging, and the technical scheme is characterized in that the adaptive waveform matching mechanism proposed by the invention dynamically adjusts convolution kernel sampling points through a deformable convolutional network (DCN), and the adaptive waveform matching is realized; various nonlinear waveform distortions caused by electric field interference and complex target reflection characteristics can be actively adapted, and a customized matching template is generated for each input waveform. Equivalently, the system is endowed with the capability of eliminating counterfeit and keeping true in a strong electromagnetic interference environment, so that the robustness to special working conditions of ultra-high voltage hot-line work is fundamentally improved.

This invention discloses a high-repetition-rate interpolation amplification system, relating to the field of high-power laser technology. It employs a three-stage architecture of time-domain separation, parallel amplification, and polarization beam combining. The core idea is to distribute the thermal load and suppress the accumulation of nonlinear effects by interleaving pulses in the time domain, and then synergistically improve the overall performance of the system through incoherent polarization beam combining. Compared with traditional coherent combining schemes, this invention completely eliminates the dependence on precise phase control, extremely high synchronization accuracy, and strict waveform matching, thus providing a highly promising technical path for synchronously achieving high repetition rate, high single-pulse energy, and high average power laser output.

The invention discloses an electrocardiogram ventricular escape real-time judgment method and system, relates to the technical field of electrocardiograms, solves the problem of lack of multi-dimensional analysis and dynamic characteristic verification of electrocardiogram waveforms, and aims at solving the problem that a time period in which waveform abnormity really exists is focused through continuous analysis of fluctuation points of a to-be-recognized section, so that the accuracy of the electrocardiogram ventricular escape real-time judgment is improved. A symmetric space vector range of a normal P wave is used as a reference, whether a to-be-analyzed waveform contains the P wave is visually judged through matching of the form and the position of a to-be-verified vector, missed judgment caused by low amplitude of the P wave or overlapping of the P wave in a T wave is avoided, and the accuracy of the judgment is improved. A complete analysis chain from electrocardiosignals to clinical diagnosis is constructed through a four-layer logic architecture of pacing point positioning, feature waveform matching, abnormal time capturing and escape pacing mechanism verification, high-precision recognition of ventricular escape pacing is achieved, and the accuracy of ventricular escape pacing recognition is improved through deep fusion of a physiological mechanism and an algorithm. And an interpretable and traceable technical path is provided for automatic electrocardio diagnosis.

The invention relates to the technical field of data analysis, in particular to a fault signal phase synchronization method and device based on a data fusion algorithm. The method comprises the following steps: preprocessing a collected bearing operation data signal; the preprocessed data signals are fused, and reliable phase offset estimation of each operation period and position is calculated; the fused data signals are processed through waveform matching and a phase correction algorithm, phase deviation caused by driving speed and load changes is eliminated, and data signals after phase synchronization are obtained; and based on the data signals after phase synchronization, bearing fault features are extracted, and a phase consistency coefficient is calculated. According to the technical scheme, the identifiability of fault signal characteristics is improved through multi-sensor data fusion and an advanced phase synchronization algorithm, and an important technical means is provided for fault diagnosis of rotating machinery.

The invention relates to an ultrasonic wave flight time measuring method and device, electronic equipment and a readable medium, and the method comprises the steps: applying a driving signal to a first transducer, enabling the first transducer to emit ultrasonic waves, and starting a timer to collect a transmitted waveform sequence; calculating the minimum flight time as a coarse value based on the distance between the transducers and the resultant velocity of the sound velocity and the wind speed; after the time is over, collecting a receiving waveform sequence of which the count value and the amplitude are within a preset range; transmitting and receiving waveforms are analyzed through waveform matching, a time offset value is obtained, and a coarse value is corrected to obtain first absolute flight time; switching a transmitting-receiving transducer, and similarly obtaining second absolute flight time; and matching the two received waveforms, calculating the offset time for correcting the difference between the two minimum flight times, and finally obtaining the high-precision relative flight time. The problem that the measurement precision and the operation efficiency cannot be considered when the ultrasonic flight time is measured is solved.

The invention discloses a microseism Gaussian particle swarm differential evolution positioning method and device. The method comprises the following steps: carrying out parameter initialization setting based on a particle swarm; aiming at any particle in the particle swarm, calculating to obtain theoretical travel time from the particle to each detector; performing waveform superposition on the particles, and obtaining fitness values of the particles according to the waveform superposition and theoretical travel time of the particles to each detector; according to the individual optimal position of the particle and the global optimal position in the population, updating the speed and the position of the particle by using a first random number and a second random number generated by a preset Gaussian probability density function, and executing variation, crossover and selection operations in differential evolution by taking the global optimal particle determined after updating processing as a base vector; judging whether a preset stop condition is met or not; if not, waveform matching superposition, particle updating and differential evolution are repeated until a preset stop condition is met; and determining the estimated position of the seismic source according to the position of the global optimal particle.

A signal generation device and method, an analog-digital hybrid test board, and a test machine. The signal generation device comprises: an arbitrary waveform generator, a read / write control module, an external clock chip, and a storage device; the external clock chip is configured to output a fixed-frequency sampling clock to a digital-to-analog conversion device; the read / write control module is connected to the arbitrary waveform generator and the storage device, and is configured to read an original waveform from the storage device on the basis of a received read request instruction, and return the read original waveform to the arbitrary waveform generator; and the arbitrary waveform generator is configured to perform resampling processing on the received original waveform to generate a reconstructed waveform matching the frequency of the sampling clock, wherein the reconstructed waveform is used by the digital-to-analog conversion device to perform digital-to-analog conversion on the basis of the sampling clock outputted by the external clock chip.

This application provides a processor performance analysis method, apparatus, electronic device, and storage medium. This solution is applicable to performance analysis of various processors, including those with CISC instruction sets, RISC reduced instruction sets (especially RISC-V), or VLIM instruction set architectures, such as CPUs, IoT chips, and audio / video chips. The processor performance analysis method includes: acquiring waveform data generated during processor simulation verification; processing the waveform data according to pre-set waveform matching rules to obtain processor event information and processor behavior information; and generating interactive graphs for processor performance analysis based on the processor event information and the processor behavior information. This solution can improve the efficiency of processor performance analysis.

The present application relates to the technical field of marine ecological environment analysis, and discloses a marine ecological environment analysis method and system based on big data, which comprises the following steps: obtaining environment monitoring and management object working condition time series data, determining a transmission lag time window based on flow field transmission logic; calculating cross-correlation coefficients in the window, and if they fall into a gray verification interval, generating a pseudo-random working condition control sequence orthogonal to the background main frequency; driving the management object to perform irregular actions through an administrative interface, calculating the local waveform matching degree of the environment data and the sequence; and determining responsibility and generating a punishment instruction when the threshold is exceeded. The system comprises a data acquisition and space-time mapping module, a cross-correlation calculation module, an active attribution module, and a fingerprint verification and decision module. Through the active pseudo-random disturbance and frequency domain orthogonal verification mechanism, the present application realizes exclusive locking of the responsible subject under complex hydrological environment, and solves the attribution problem that passive monitoring is difficult to distinguish between natural background fluctuations and human emissions.

An inverter circuit includes at least three output terminals, a first input terminal, a second input terminal, and at least three series bodies. A total switching duration and a one-phase fixed duration are present within a single cycle of AC output. The waveform of each phase of an output voltage is such that a shared offset wave is deducted from a sinusoidal waveform. The waveform of the offset wave matches one phase of the sinusoidal waveform, or matches a waveform obtained by shifting the one phase of the sinusoidal waveform in the amplitude direction, during the one-phase fixed duration. During switching between the total switching duration and the one-phase fixed duration, the inclination of the waveform of the offset wave either continuously changes or remains fixed.

The application provides a low signal-to-noise ratio signal processing method and device based on multi-symbol coherent waveform matching, and relates to the technical field of wireless signal communication. The method comprises the following steps: converting an original template for performing waveform matching on a spread spectrum signal of a wireless local area network signal into a waveform template corresponding to an orthogonal frequency division multiplexing system; performing cyclic cross-correlation processing on the spread spectrum signal sent after being modulated by the orthogonal frequency division multiplexing system according to the waveform template to obtain a corresponding frequency domain waveform matching result; performing multi-symbol coherent waveform matching on the frequency domain waveform matching result in the time dimension to obtain a multi-symbol waveform matching result; and performing threshold judgment on the multi-symbol waveform matching result to obtain a signal demodulation result corresponding to the spread spectrum signal. Through the application, the defects that the orthogonal frequency division multiplexing system processes traditional wireless local area network waveform signals and the signal-to-noise ratio is lower than a demodulation threshold due to path loss in long-distance transmission are overcome.

The invention discloses a GUI display method and device for a digital waveform, a medium and a product, and the method comprises the steps: responding to a request for displaying a target digital waveform in a target display coordinate system in a GUI, and obtaining a time window matched with the target digital waveform and a pixel window matched with a time coordinate axis in the target display coordinate system; and when determining that the target digital waveform cannot be completely drawn in the target display coordinate system according to the time window and the pixel window, calculating a digital waveform value set corresponding to each pixel point in the time coordinate axis. And according to the digital waveform value set corresponding to each pixel point in the time coordinate axis, drawing in a target display coordinate system in the GUI to obtain a target digital waveform. And the first independent right is achieved. According to the technical scheme, the target digital waveform value can be sampled and drawn according to the target display coordinate system, the digital waveform scaling operation efficiency is remarkably improved, and the chip simulation digital waveform debugging convenience is improved.

The application relates to the technical field of artificial intelligence, and discloses an AI-based composite insulator internal defect ultrasonic detection method, which comprises a multi-modal ultrasonic probe array module, a signal preprocessing module, an AI defect analysis module, a dynamic parameter optimization module, an edge computing module and a visual report module. Full-dimensional signals are collected through the multi-modal ultrasonic probe array, input into a deep space-time convolutional neural network for defect identification after adaptive noise reduction and feature fusion; the detection accuracy is improved through dynamic waveform matching and multi-physical field coupling analysis; and model lightening and real-time processing are realized through transfer learning and edge computing. The system integrates parameter adaptive optimization, three-dimensional visualization and Internet of Things collaborative functions, solves the problems of low efficiency and high false detection rate of traditional detection methods, and improves the intelligent level and engineering applicability of composite insulator defect detection.

This invention discloses a method and system for underground vehicle speed measurement based on robust waveform matching. The method includes the following steps: constructing multiple magnetometer baseline pairs, extracting the magnetic field waveform sequences of the front and rear magnetometers for each baseline pair; dividing the magnetic field waveform sequences into multiple sliding windows along the time axis, and determining a target sliding window containing the time to be measured; within the target sliding window, performing waveform matching using a robust dynamic time warping algorithm based on the magnetic field waveform sequence corresponding to each magnetometer baseline pair, and calculating the local vehicle speed estimate and its corresponding matching weight for each magnetometer baseline pair based on the matching results; and weighted fusing the local vehicle speed estimates of each magnetometer baseline pair based on the matching weights to obtain the target vehicle speed estimate. This method improves the ability of magnetic field waveforms to stably match in underground engineering environments, achieving accurate measurement of underground vehicle speeds.

This application discloses a semantic communication method, system, terminal, and storage medium based on the digital communication physical layer, relating to the field of communication technology. The method includes: acquiring a transmitting end semantic vector to be transmitted and mapping it to a complex-valued symbol set; generating a transmitting end analog waveform through pulse shaping; performing the inverse operation corresponding to the transmitting end digital communication physical layer on the transmitting end analog waveform to obtain an input bit sequence and inputting it into the transmitting end digital communication physical layer to generate a waveform to be transmitted; and sending the waveform to be transmitted to the receiving end; after the receiving end obtains the received waveform, generating a received bit sequence through the receiving end digital communication physical layer; performing the inverse operation corresponding to the receiving end digital communication physical layer on the received bit sequence to generate a receiving end analog waveform matching the transmitting end analog waveform; and obtaining a receiving end semantic vector matching the transmitting end semantic vector based on the receiving end analog waveform conversion. Thus, JSCC semantic communication based on the digital communication physical layer can be realized.

The invention belongs to the field of petroleum geological exploration reservoir evaluation, and discloses a leakage longitudinal wave-based anisotropy and ground stress evaluation method and related equipment.The method is mainly applied to a slow stratum, and comprises the following steps: firstly, extracting a leakage longitudinal wave, and obtaining a fast wave and a slow wave through four-component waveform data of the leakage longitudinal wave; then obtaining an auxiliary fast wave time sequence, an auxiliary slow wave time sequence and an auxiliary fast and slow wave waveform according to the fast wave and the slow wave, carrying out fast and slow wave matching processing based on a waveform matching method to obtain fast wave slowness and slow wave slowness, and finally obtaining leakage longitudinal wave anisotropy according to the fast wave slowness and the slow wave slowness. Anisotropy and ground stress evaluation is realized; according to the method, the cross dipole leakage longitudinal waves which are easy to extract are acquired, and based on the similarity of the waveforms of the fast and slow waves in the longitudinal waves, a waveform inversion method is used, and combined superposition of array sound wave data is fully utilized to suppress noise, so that the calculation precision and stability are improved, and accurate and reliable stratum anisotropy and ground stress evaluation is realized.

An apparatus includes a machine learning audio encoder and a waveform matching audio encoder. The apparatus includes a controller configured to input segments of audio data into the machine learning audio encoder, the waveform matching audio encoder, or both, based on classifications associated with segments of audio data.

The invention provides a difference degree feedback closed loop optimization cooperative positioning method based on Vision Transform, and aims to improve the precision and stability of multi-node wireless positioning in a complex indoor environment. According to the method, time-frequency feature extraction is carried out on a physical receiving signal and a digital twin simulation signal, global semantics and key local changes are captured through Vision Transform, and a waveform difference index with high characterization is constructed by using cosine similarity, so that refined waveform matching is realized. And on the basis of the difference degree, constructing an inter-node cooperative positioning model, and comparing twin waveforms generated by neighbor nodes with actual received signals to form a dynamic cooperative message so as to realize multi-source information fusion and joint optimization. In order to solve the problem of high coupling of node positions in co-location, a consensus variable and a Lagrange multiplier are introduced, a joint optimization problem is decomposed into local sub-problems capable of being solved in parallel by combining an alternating direction multiplier method, and efficient convergence of the whole network position is achieved. According to the method, high-precision and multi-node cooperative positioning can be realized in a complex channel environment, and the method has the potential advantages of high calculation efficiency, parallelism and feasibility.

The invention relates to the technical field of receiver circuits, and discloses an intermediate frequency output signal ringing elimination method and system for a wireless receiver chip, and the method and system are realized based on a radio frequency and intermediate frequency integration module, an ADC module, a transmission line module and a compensation resistor module. The radio frequency and intermediate frequency integration module is electrically connected with the ADC module through the transmission line module, and after a waveform signal is output, a detection waveform is acquired through an oscilloscope and a waveform matching value is calculated with a reference waveform; according to the matching value, the compensation resistor modules are selectively connected in series or short-circuited. A waveform matching value can be calculated by means of voltage difference statistics, curve similarity or voltage difference and graphic feature fusion and the like, the compensation resistor module can adjust the resistance value by means of series or parallel resistor unit combination, and an adjusting mode can be dynamically selected based on a matching ratio. Impedance dynamic adaptation between the modules is achieved, signal reflection and energy loss are reduced, and the distortion ringing phenomenon of intermediate frequency output signals is effectively reduced.

The present application relates to a vehicle and a control method thereof. Specifically, a vehicle selectively providing an important sound to an occupant includes a microphone configured to receive a noise, a speaker, a storage configured to store a plurality of sound waveforms and a warning sound source corresponding to each of the plurality of sound waveforms, and a controller configured to generate a noise cancellation signal based on the noise, control the speaker to output a noise cancellation sound corresponding to the noise cancellation signal, compare a waveform of the noise with the plurality of sound waveforms when a sound pressure level of the noise is greater than a threshold, and control the speaker to play the warning sound source corresponding to the sound waveform matching the noise when the waveform of the noise matches any one of the plurality of sound waveforms.

The embodiment of the application discloses a waveform matching method, device and equipment and a computer storage medium. The method comprises the following steps: obtaining input audio data; performing feature extraction on the input audio data to determine vibration sensation demand data; performing vibration sensation encoding on the vibration sensation demand data to obtain a vibration sensation encoding result; and performing similarity matching based on the vibration sensation encoding result to output a target vibration sensation waveform. In this way, the vibration sensation demand data is obtained by performing data feature extraction on the input audio data, the vibration sensation encoding result is obtained according to the vibration sensation demand data, and then the target vibration sensation waveform similar to the vibration sensation encoding result is matched, so that the success rate and efficiency in the waveform matching process can be improved.

This invention relates to the field of intelligent building construction technology, specifically to a multi-process construction scheduling and path optimization method for intelligent building construction machines. The system includes: collecting and refining task information throughout the entire building construction process; completing initial path planning for the construction area based on an improved A* algorithm; defining core variables related to the building construction machine's operating status and construction tasks; constructing a dynamic weighted adaptive model for the core variables; calculating task suitability based on the core variables and corresponding weights, and selecting the optimal building construction machine to execute construction tasks; establishing a mapping model between the building construction machine's workload characteristics and the lowest energy consumption construction action commands, optimizing the construction path through load waveform matching; constructing a multi-dimensional evaluation index system, and using a reinforcement learning decision model to dynamically select the optimal edge computing node to unload the building construction machine's computing tasks, thereby achieving efficient scheduling, low-energy path planning, and optimal allocation of computing resources for building construction machine construction.

The invention relates to a sea surface wind speed inversion method based on double-variant statistical characteristics of GNSS reflected signals, and belongs to the technical field of remote sensing. According to a local weighted regression model of neighborhood sample point weights and a neighborhood range, the sensitivity of characteristic values along with wind speed changes is obtained, fusion weights are distributed for LES and NBRCS, and then fusion characteristics are obtained; and a random forest regression model is established based on the fusion features, and a double-variable wind speed inversion result is obtained. Compared with a waveform matching method, the method is small in calculation amount and does not need waveform simulation; compared with a single-feature empirical geophysical model function method, the method can consider the influence of a plurality of features on the wind speed inversion precision at the same time, and further improves the wind speed inversion performance.

The application provides a non-intrusive load monitoring method and system based on feature optimization and waveform matching, which comprises the following steps: collecting voltage and current waveform data at a total inlet of a micro-grid and processing the data, so as to obtain the occurrence time of a load switching event according to the information entropy of the processed data; recording the root mean square current variation curve of the load switching event, and extracting the electrical characteristics of the current waveform variation caused by the load switching event; establishing a waveform matching database, matching the extracted electrical characteristics with the matching database, and identifying the long starting process load; when the long starting process load fails to be identified and matched, using a supervised classification model to identify the short starting process load. The long and short starting process loads are effectively identified; the calculation amount is small, the non-intrusive load monitoring can be realized under low hardware conditions, and the method is suitable for being realized in an embedded system with relatively weak data operation capacity.

The application provides a cement sheath quality evaluation method and device, and relates to the technical field of oil and gas field exploration and development. The method comprises the following steps: obtaining a full-wave waveform set corresponding to different shear coupling stiffnesses of a first sliding interface according to a previously established casing well sliding interface borehole sound field theoretical calculation model; measuring the first sliding interface to obtain a target full-wave waveform, and performing waveform matching on the target full-wave waveform in the full-wave waveform set to obtain a target shear coupling stiffness corresponding to the target full-wave waveform; and determining a cement sheath quality evaluation result corresponding to the target shear coupling stiffness according to a preset corresponding relationship. The device executes the above method. The cement sheath quality evaluation method and device provided in the application can objectively and accurately evaluate the cement sheath quality.

The invention relates to a coal conveying belt metal foreign matter detection method based on self-adaptive waveform feature recognition, and the method comprises the steps: providing an electromagnetic eddy current sensing device which comprises an excitation coil and a receiving coil; the exciting coil is arranged above the coal conveying belt and used for generating an alternating magnetic field, the receiving coil is arranged below the coal conveying belt and used for sensing magnetic field disturbance caused when an object passes through and outputting a voltage signal, and then electromagnetic eddy current time sequence data are collected through the upper computer; constructing a sliding window, and performing anomaly detection on the electromagnetic eddy current time sequence data through the sliding window; and outputting a metal foreign matter identification result according to a waveform matching result. The method has the advantages that a waveform feature matching method based on a sliding window is adopted, specifically, a differential electromagnetic eddy current sensing device is adopted to eliminate environmental interference, typical metal foreign matter waveform features are extracted through experiments to establish a template, feature matching is carried out in real-time detection, and misinformation and missing report can be remarkably reduced.

The invention relates to a power distribution network adaptive protection method and system based on a current waveform matching weight, and the method comprises the steps: carrying out the preprocessing of a node signal in response to an obtained node signal, and obtaining a reference signal, the node signal comprising a voltage signal and a current signal; using a matching algorithm and combining the basic waveform library to generate a reference signal; comparing residual errors of the reference signal and the reference signal to obtain a residual error value; when the residual value is greater than or equal to the allowable value, continuing to generate the reference signal and repeating the process of comparing the residual of the reference signal and the reference signal; calculating a ratio of a normal signal to an abnormal signal included in the reference signal; and when the ratio is greater than the set ratio, selecting to output a circuit breaker action instruction. According to the power distribution network adaptive protection method and system based on the current waveform matching weight disclosed by the invention, the reference signal is obtained by combining the basic data with the matching mode, and then the reference signal is analyzed to determine whether a fault occurs in the power distribution network.

This invention belongs to the field of nondestructive testing technology, specifically a method for quantifying surface cracks in metal plates based on multi-point, full-cycle magnetic field transient waveforms. The method includes: applying short-time pulsed eddy currents to the surface of the metal plate using an excitation coil, moving it step-by-step along a preset path above the crack region to acquire transient, full-cycle magnetic field signals at multiple measurement points; for each measurement point, extracting waveform features of transient magnetic field intensity changes within different time windows, and calculating the crack length along the surface by combining the spatial positional differences in magnetic field waveforms between adjacent measurement points with the movement step size; and performing waveform matching and similarity analysis between the transient magnetic field change curves acquired at the crack center measurement point and a pre-constructed magnetic field transient feature database to determine the actual crack depth. This invention uses the transient magnetic field response as the evaluation basis, which can more completely reveal the interaction mechanism between pulsed eddy currents and crack defects, providing rich feature parameters for the quantitative assessment of crack length and depth.