301 results about "Impulse response" patented technology

The invention relates to the technical field of RFID tag signal optimization, and discloses an RFID tag signal optimization method and system based on deep learning. According to the method, feature extraction is carried out on a backscattering signal, core features of a multipath channel are quantized from a frequency domain and a time domain respectively, numerical representation of a channel state is further obtained, then obtained data information is used as input of a deep learning network, training and forward calculation are carried out, original emission parameters are adjusted, and a multi-path channel is obtained. Therefore, the conversion from blind extensive control to precise control of the transmitting end is realized, so that the problem of mismatching of parameter control and channel state caused by information splitting of the transmitting end and the receiving end in the prior art is solved; according to the signal optimization method for realizing joint adjustment of transmitting and receiving parameters through an end-to-end deep learning architecture, the optimization effect of an RFID tag signal in a complex environment is remarkably improved.

The invention provides a machine tool machining shaft anomaly detection method and system based on double-order excitation, and relates to the technical field of numerical control machine tools. The method comprises the steps that a key machining shaft of a numerical control machine tool is determined; constructing a shaft transmission anomaly detection model; a double-order reverse test sequence is injected into the key machining shaft through the controller, and a double-order pulse response sequence corresponding to the double-order reverse test sequence is recorded through the encoder; a pulse arrival time sequence is analyzed, and reverse response delay, static lag section length and speed transient characteristics are calculated; and inputting into a shaft transmission anomaly detection model for analysis, and outputting a reverse gap detection value of the key processing shaft. The technical problem that in the prior art, due to the fact that tiny anomalies of the numerical control machine tool are difficult to accurately detect, the machining anomaly detection precision is insufficient is solved, and the machining anomaly detection accuracy of the numerical control machine tool is improved through the double-order reverse test sequence and the shaft transmission anomaly detection model.

Linear unretimed interfaces lack clock and data recovery and retiming circuits implemented on a sophisticated digital signal processor. When the interface is not a retimed interface, it can be especially useful to extract some information about the link to allow for debugging and optimization of system deployment. An efficient solution can be implemented in unretimed interfaces to compute metrics such as the impulse response and signal histogram. Having the metrics allows for the solution to check and monitor the quality and the status of the link. Based on the link quality and status information, it is possible to address non-idealities and optimize performance of the unretimed interfaces and the link.

The invention discloses a natural language processing technology-based cultural and creative element data analysis method, which comprises the following steps of: based on AI intelligent plush doll interaction data, generating a cultural and creative structure embedding degree index through named entity recognition and semantic network topology analysis; an impulse response function is constructed based on the cultural creative structure embedding degree, and a cultural creative memory cycle index is calculated in combination with the path length and information backflow; fusing the multi-modal features and the ideal innovation region, and outputting a perception novelty score; screening high-potential-energy elements to construct a semantic sub-graph, simulating a thermodynamic process, and identifying a text-creative fusion hotspot chain; and decoding the hotspot chain into a design semantic tag, matching a material database to generate an appearance scheme, and converting the appearance scheme into an interaction template, thereby realizing a customized design closed loop from a user dialogue to a doll form and behavior. Through data driving and cross-modal analysis, implicit culture preferences in user dialogues are dominated, and creativity of the appearance of the AI intelligent plush doll and humanization of interaction are improved.

The present disclosure relates to the technical field of audio control. Provided are a computer-implemented method for audio control, and an electronic device and a storage medium. The computer-implemented method for audio control comprises: on the basis of a specified measurement signal, performing acoustic effect testing on a target space, in order to obtain environmental response information, wherein the environmental response information comprises impulse response information and post-separation impulse response information; analyzing the environmental response information, in order to obtain acoustic characteristic information of the target space; on the basis of the acoustic characteristic information, performing compensation processing on audio to be processed, in order to obtain regulated audio; regulating gains of multiple channels corresponding to the regulated audio, in order to obtain re-regulated audio; and performing multi-channel collaborative optimization processing on the re-regulated audio, in order to obtain audio having a target effect. The method achieves precise compensation for spatial acoustic defects, resolves inter-channel crosstalk, improves the acoustic image localization and spatial perception, significantly improves the perceptual audio quality, and optimizes an output.

The invention relates to the technical field of automatic control, in particular to a switching positive system identification method and system and a storage medium, and aims to solve the problems that in the prior art, a model violates non-negative physical constraints, hyper-parameter estimation is prone to local optimum, calculation efficiency is low, and switching path identification precision is insufficient. The method comprises the following steps: firstly, determining non-negative priori of a system model and pulse response truncated Gaussian distribution through a preparation module; constructing a Bayesian network, and iteratively optimizing a switching path by adopting Gibbs sampling; and finally, based on regularization optimization and Gibbs sampling in combination with Monte Carlo approximation, accurately estimating the pulse response of the subsystem. According to the method, the non-negative characteristics are embedded into the whole identification process, global parameter optimization is achieved, high-dimensional integral calculation is simplified, identification precision and stability are improved, and the method is suitable for multi-scene engineering application.

The invention discloses a digital twinning-based multistage water-saving ship lock navigation safety guarantee method and system, and the method comprises the steps: collecting multi-source sensing data, generating an alignment data flow and a quality evaluation report, and updating a digital twinning state; by means of the aligned data flow and the quality evaluation report, through non-contact observation and probability fusion, mooring force probability distribution is obtained; based on the digital twinning state and the alignment data flow, identifying a hydraulic impulse response and adopting hydraulic phase lock tracking to generate a vibration suppression opening template; and in the digital twin system, integrating the mooring force probability distribution and the vibration suppression opening template, executing distribution robust random control barrier optimization, and outputting an executable valve track. According to the method, water hammer oscillation can be actively inhibited, robust safety guarantee is provided for uncertain mooring force, and the navigation safety of the large water-saving ship lock is effectively improved.

The invention relates to the technical field of controller fault diagnosis, in particular to a controller fault root cause distinguishing method and system. A VAR model is adopted to distinguish the fault root cause of the controller, a plurality of mutually associated communication parameters in the controller are modeled into a unified multi-dimensional time sequence system, and modeling and analysis are performed on multivariable time sequence data of the integrated controller in the communication process. A collaborative decision-making mechanism of residual analysis, Granger causal relationship and impulse response function mode comparison is integrated to accurately distinguish whether communication abnormity is originated from an external network problem or an internal processing bottleneck of the integrated controller so as to realize intelligent monitoring of a communication link health state and accurate distinguishing of a fault source. Therefore, the technical problem that the fault root cause of the controller is difficult to accurately position in the prior art is solved.

The invention discloses a detection method, equipment and medium for a new energy high-power direct-current charging pile, and relates to the technical field of charging pile stability detection, and the method comprises the steps: controlling a direct-current electronic load to generate a load disturbance signal at N characteristic working points, collecting instantaneous value change data through a broadband data collection center, and calculating the stability of the charging pile according to the instantaneous value change data; and based on the dynamic load disturbance signal and the instantaneous value change data, calculating the pulse response characteristics of the to-be-tested DC charging pile at the N characteristic working points through a correlation function analysis method, constructing a dynamic impedance characteristic model, and based on the safe working area three-dimensional boundary map, the electric energy quality indexes of the N characteristic working points and the dynamic impedance characteristic model, calculating the dynamic impedance characteristic of the to-be-tested DC charging pile. And evaluating and diagnosing the comprehensive performance of the direct current charging pile to be tested. According to the direct current charging pile comprehensive performance detection method based on dynamic load disturbance, accurate physical examination of the overall performance of the charging pile is achieved, and the detection depth, precision and predictability are improved.

The present disclosure relates to systems and methods for enrollment-free automated speech recognition (ASR) in multi-speaker environments. A system can process mixed audio signals containing speech from a target speaker and one or more interfering speakers. By applying acoustic characteristics such as room impulse responses (RIRs) and / or speech-to-interference energy ratios, the system can simulate environments to improve speech separation and recognition accuracy. A neural network model can be trained to identify and transcribe the speech of target speakers and / or secondary speakers, while filtering out interference. The system can update the model using ground-truth text and performance feedback, thereby facilitating real-time or near real-time ASR in multi-speaker environments without requiring predefined speaker data.

The invention relates to the technical field of image recognition control, in particular to a linear motion module accurate control method and system based on AI vision, and the method comprises the following steps: obtaining an interference fringe image and extracting a gray path, analyzing central point displacement to generate a coordinate sequence, repairing an interference feature position, and aligning the image and a control time sequence to generate a synchronization time table. The mapping structure response forms a set of control output configurations. According to the method, a peak path is constructed through interference fringe gray scale information in an image frame, central point pixel displacement is extracted, a coordinate migration sequence is constructed, fine-grained capture and tracking of an execution state are realized, an external interference area is identified according to image gradient change, vector repair is carried out, and image data stability and feature reliability are guaranteed. And aligning the repaired image response with a control instruction time sequence, constructing an impulse response lag statistical mechanism, realizing accurate mapping adjustment of the control frequency, and improving the control precision and response consistency in high-frequency displacement execution.

The invention relates to the technical field of electrical detection, in particular to a multi-stress coupling environment reliability testing method for an electricity consumption information acquisition terminal. Comprising the steps of applying a combined stress field to an electricity utilization information acquisition terminal through an environment test box; acquiring power utilization information acquisition terminal parameters; the method comprises the following steps of: capturing metering pulse response and carrier communication interaction signals of an electricity utilization information acquisition terminal under the excitation of a combined stress field by utilizing an electrical sensor, extracting carrier signal-to-noise ratio data and metering reference drift data, and generating a reference voltage compensation coefficient and an impedance matching threshold value; projecting the carrier signal-to-noise ratio data to an impedance matching threshold value, and constructing a stress failure envelope surface according to a hardware overload protection threshold value; and mapping the communication quality distortion residual vector to a stress failure envelope surface, and calculating a reliability life prediction value. According to the method, a uniform excitation environment is constructed, and performance degradation of different dimensions is uniformly quantified into accumulative stress damage integral, so that the comprehensive anti-interference capability of the terminal in a multi-stress coupling environment can be truly reflected.

The invention discloses a ship channel modeling method for a marine unmanned aerial vehicle, and relates to the field of wireless channel modeling, and the method comprises the steps: obtaining the position information of an unmanned aerial vehicle and the position information of a ship; according to the position information of the unmanned aerial vehicle and the position information of the ship, constructing a three-dimensional model of the marine unmanned aerial vehicle to the ship channel; according to the three-dimensional coordinate system and the position relation, based on a sea surface fluctuation model and an unmanned aerial vehicle rotation model, coordinates of a receiving antenna and coordinates of a transmitting antenna are determined respectively; according to the three-dimensional coordinate system, the position relation, the propagation path, the coordinates of the receiving antenna and the coordinates of the transmitting antenna, determining the impulse response of the marine unmanned aerial vehicle to the ship channel; determining a space-time-frequency correlation function of the marine unmanned aerial vehicle to the ship channel; further carrying out modeling on the ship channel; according to the method, the non-stationary statistical characteristics of the marine unmanned aerial vehicle to the ship channel can be accurately described, and a theoretical basis is provided for design and performance optimization of an unmanned aerial vehicle auxiliary communication system in a complex marine environment.

The invention belongs to the field of quantum computing, and particularly relates to a distortion correction method for a quantum measurement and control link and a quantum computer, and the method comprises the steps: carrying out fractional expansion on a system function in a general expression form, and obtaining a system function expressed by a subitem of a target system function and a sum of products of corresponding coefficients, the target system function subitems are determined according to signal response characteristics of the quantum measurement and control link and comprise a pure zero item, a real pole item and a complex pole item, the pure zero item represents impulse response of finite length of the quantum measurement and control link, the real pole item represents exponential response of the quantum measurement and control link, and the complex pole item represents impulse response of finite length of the quantum measurement and control link. The complex pole item represents the oscillation attenuation response of the quantum measurement and control link; determining the reciprocal of the system function of the quantum measurement and control link as a distortion correction digital filter; a distortion correction digital filter is arranged on the quantum measurement and control link to correct signal distortion of the quantum measurement and control link. According to the invention, the distortion of the quantum measurement and control link can be rapidly corrected.

The application discloses a kind of fresh stewed bird's nest cold chain transport process temperature field monitoring method and system, belong to cold chain monitoring technical field.Through heat inertia pulse test, heat capacity and thermal resistance are obtained, which are respectively taken as node attribute and edge attribute;Optimize sensor distribution based on the principle of random walk entropy minimization;Construct a dynamically updated directed weighted heat propagation path graph;Using sparse deconvolution combined with system impulse response function matrix, separate event excitation and identify abnormal events;Linearize the heat balance inverse problem in the rolling time domain, reconstruct the product temperature sequence and heat flow vector, calculate the equivalent heat damage dose, and generate the solidified causal directed acyclic graph evidence chain.The above scheme integrates heat inertia into the graph model, realizes event and heat response separation, risk quantification and full-process traceability, effectively improves the accuracy and reliability of cold chain temperature monitoring.

The invention discloses a bearing fault diagnosis method based on feature mode decomposition and heterogeneous model fusion, and belongs to the technical field of mechanical fault diagnosis. An original vibration signal of the rolling bearing is collected; independent of any bearing geometric parameter or fault characteristic frequency information, a finite impulse response (FIR) filter is iteratively optimized to maximize a correlation kurtosis (CK) value, and a plurality of intrinsic mode functions (IMF) are adaptively decomposed; selecting first M IMFs with the highest CK value, extracting time domain, frequency domain and nonlinear complexity features of the IMFs, generating high-order derivative features by adopting depth feature synthesis DFS, and constructing an enhanced fusion feature vector; and finally, inputting a stacked integrated classifier consisting of six types of heterogeneous basic learners and an XGBoost element learner, and outputting a fault diagnosis result. According to the method, high-precision and high-robustness diagnosis can still be realized under the working conditions of speed change, strong noise and weak faults.

The application provides a lateral control method and device based on a vehicle dynamic prediction model, and the method comprises the following steps: inputting a first steering wheel steering angle in a target time window obtained in advance into the vehicle dynamic prediction model; performing convolution on the input first steering wheel steering angle in the target time window and a unit impulse response of the vehicle dynamic prediction model, to obtain a predicted yaw rate; and obtaining a predicted steering wheel steering angle based on the predicted yaw rate and a pre-established cost function. The application improves the accuracy of the predicted steering wheel steering angle, reduces the adjustment of an actuator while ensuring the accuracy, improves the durability of the actuator, and reduces the total cost of ownership (TCO); in addition, a large amount of operation data is used to iteratively optimize the constraint conditions in the algorithm, so that the automatic driving behavior is more accurate.

The application discloses a kind of arbitrary waveform nuclear pulse conversion methods, for the trapezoidal shaping of arbitrary waveform nuclear pulse signal.First, the arbitrary waveform nuclear pulse signal is regarded as the impulse response of rational fraction transfer function system.Second, rational fraction transfer function is decomposed into multiple first-order inertia link and the form of sum, then, multiple first-order inertia link and the form of sum is carried out Laplace inverse transformation into time domain expression, and then its time domain expression is discretized and transformed, then the parameter of discretized expression is obtained using particle swarm algorithm, finally, the transfer function of trapezoidal shaping and shaping recurrence formula are obtained, the trapezoidal shaping of arbitrary waveform nuclear pulse signal is realized to a certain extent, the symmetry of trapezoidal pulse is improved, the accurate acquisition of pulse amplitude is facilitated, the energy resolution of system is improved and the counting rate is improved, which has great significance for improving the precision of radioactivity measurement.

This invention discloses an echo channel estimation method based on adaptive filtering, belonging to the field of wireless communication. First, channel estimation of the mixed signal is performed using pilot signals. Then, a correlation algorithm is used to estimate the impulse response of the echo channel to obtain an estimated value of the echo channel. Next, the estimated echo channel value is used to calculate the echo signal and perform channel estimation of the near-end transmitted signal. This value is then subtracted from the first channel estimate to obtain a second estimate of the channel through which the near-end signal passes. Finally, a partial estimate of the near-end signal is calculated using the pilot signals and the second estimate, and this value is subtracted from the received signal to obtain an estimated value of the echo signal, which is then fed into an adaptive filter to update the filter coefficients. This invention fully utilizes pilot channel estimation in OFDM signals and combines it with adaptive filtering to achieve effective echo channel estimation in two-talk scenarios, reducing the bit error rate under echo interference.

System and methods are provided for estimating the sound field from partial observations. Estimating an acoustic environment for virtual reality and augmented reality applications is a step in the creation of simulated acoustic sound scenes. In particular, the impulse responses of room can be estimated with a generative model. In a teleconferencing scenario with remote participants and a group of participants in a common physical space, giving the remote participants the impression that all other participants are sitting is in the same room acoustically requires filtering the speech of the remote participants with impulse responses estimated at the desired rendering position in the conference room.

The application relates to the technical field of positioning device signal processing and positioning precision, and particularly discloses a non-line-of-sight classification and error compensation method and system based on a double convolution neural network, the method comprising the following steps: acquiring channel impulse response data of an ultra-wideband signal, and pre-processing the channel impulse response data to obtain an amplitude sequence in real number form; constructing a double convolution neural network classification model, the double convolution neural network classification model comprising parallel large-kernel convolution blocks and small-kernel convolution blocks, which are respectively used for extracting macroscopic waveform features and microscopic fluctuation features from the amplitude sequence; and performing classification training after fusing the macroscopic waveform features and the microscopic fluctuation features; and based on the trained classification model, the regression compensation of ranging errors of non-line-of-sight signals is performed, macroscopic waveform contour features and microscopic local fluctuation features can be simultaneously extracted from data, and a complementary feature extraction mechanism can more comprehensively describe the differences between LOS / NLOS signals compared with a single-structure network.

This application relates to a method, apparatus, and medium for rapid simulation of forward-looking sonar coherent echoes. The method includes: acquiring a surface model and system parameters of a three-dimensional scene; performing visibility determination and propagation path solving based on the surface model and system parameters to generate an arrival set; constructing a sparse impulse response tensor and generating an upsampled domain coherent echo based on the arrival set and an upsampled time base; downsampling and aligning the upsampled domain coherent echo to the device sampling rate to obtain a coherent echo at the device sampling rate; performing simulation processing on the coherent echo at the device sampling rate and inputting it into a backend processing chain to output imaging results.

The invention discloses a vehicle cabin sound field reconstruction method based on space energy diagram constraint and deep optimization. The method comprises the following steps: 1) measuring the impulse response of a vehicle-mounted loudspeaker array in a target vehicle cabin in a listening area; (2) space scanning is conducted on the impulse response and the impulse response simulated in the ideal anechoic chamber scene through a delay and beam forming method, sound energy distribution in all preset directions is calculated, and a space energy diagram of an actual sound field and a space energy diagram of a target ideal sound field are generated; 3) calculating the space energy diagram similarity between the two space energy diagrams, and constructing a target function; 4) constructing a neural network, taking random noise as input, outputting a control filter coefficient, and iteratively optimizing the neural network by using a target function; and 5) according to the neural network after iterative optimization, outputting a control filter coefficient of each loudspeaker channel, and loading the control filter coefficient to a sound system in the target vehicle cabin to realize sound field reconstruction in the target vehicle cabin. The invention has better subjective tone quality.

The present invention enables the reproduction of a virtual sound source that takes into account the environment in which a user actually hears a sound. This generating device comprises: a detection unit that acquires information about the shape of the room; a setting unit that, based on the shape information acquired by the detection unit, sets the positions of a sound generation point and a sound reception point of a virtual sound source in the room; and a generating unit that, based on the positions of the sound generation point and the sound reception point set by the setting unit and the shape information, generates a room impulse response in the room.

This invention relates to the field of track detection technology, and discloses a method, system, device, and medium for track elevation detection. The method includes: acquiring vehicle body state data and corresponding track elevation information when a vehicle is running on different tracks; constructing an inverse filter based on a finite impulse response (FIR) compensation filter, obtaining the mapping relationship between the corresponding vehicle body state data and track elevation information through the inverse filter, and optimizing the delay of the inverse filter using a recursive least squares method based on the mapping relationship; optimizing the order of the inverse filter using power spectral density analysis; reconstructing the acquired vehicle body response data based on the optimized delay and order of the inverse filter; training a convolutional neural network using all reconstructed vehicle body response data and corresponding track elevation information to obtain a track detection model, which is then used to detect the elevation of a target track, thereby improving the accuracy of track elevation detection.

The invention provides an optical encryption communication method and system based on up-conversion pulse response, and relates to the technical field of information encryption, and the method comprises the steps: converting to-be-encrypted original data into coded data according to a preset transcoding rule; according to the coded data and a luminescence characteristic mapping table, target excitation parameters of the laser pulse are determined, the target excitation parameters comprise the target width of the laser pulse, and the luminescence characteristic mapping table is used for representing luminescence characteristics of each luminescence wave band in the up-conversion luminescent material; and exciting the up-conversion luminescent material by using a laser pulse with a target excitation parameter, so that the up-conversion luminescent material emits a fluorescence signal corresponding to the coded data. Therefore, the target excitation parameter of the laser pulse can be determined by utilizing the light emitting characteristic of the light emitting wave band in the up-conversion light emitting material, so that the emission of the fluorescence signal is realized, namely, the encrypted communication can be realized by controlling the laser pulse without switching and controlling multiple light sources, and the efficiency of the encrypted communication is improved.

The embodiment of the invention provides an indoor sound field characterization method and a time domain-time frequency domain hybrid model framework. The method comprises the following steps: for an early part of an impulse response, generating first audio scene feature data according to position parameters and time parameters of a sound source and a receiver; mapping the first audio scene feature data to a sound field time domain signal in a time domain through a first implicit decoder, generating a first predicted impulse response representing an indoor sound field, and for a late part of the impulse response, generating second audio scene feature data according to position parameters, time parameters and frequency parameters of a sound source and a receiver; mapping the second audio scene feature data to a time-frequency domain sound field signal in a time-frequency domain through a second implicit decoder, and performing short-time inverse Fourier transform to the time domain to generate a second prediction impulse response representing an indoor sound field; and combining the first predicted impulse response with the second predicted impulse response to generate a predicted impulse response representing an indoor sound field.

The apparatus and methods of the present invention provide improved accuracy of response for a tactile transducer included in a body-mounted device such as a headphone, VR / AR headset or similar device. Accuracy is increased through the application of digital signal processing, such as with Infinite Impulse Response filters or Finite Impulse Response filters.

The invention relates to a system for a cable section for transmitting electrical energy, having a first sensor for detecting an electrical signal of the cable section, a processor unit, a data memory and a signal interface, the data memory storing a first curve set consisting of a plurality of first curves with an associated distance, each first curve representing a predetermined impulse response of an electrical pulse by means of a cable model of the cable section, the electrical pulse being caused by a modeled partial discharge, the first sensor being configured to detect a first discharge signal and to transmit a first measurement signal representing it to the processor unit, the processor unit being configured to determine, on the basis of the first measurement signal, a first curve of the first curve set as a first discharge curve, which first discharge curve is best correlated with the first discharge signal in the first curve set, the processor unit being configured to determine a first sensor distance of an actual partial discharge on the basis of the distance to which the first discharge curve belongs.