20 results about "Inverse filter" patented technology

The invention relates to the technical field of response time testing of electro-hydraulic proportional valves, and discloses a response time testing method and system of an electro-hydraulic proportional valve, and the method comprises the steps: collecting multi-point pressure, step response, pipeline length and medium parameters, and unifying the time reference to obtain an original pressure sequence; constructing an inverse filter spectrum to remove damping interference so as to recover a sharp peak value; lagging offset is calculated according to pipeline and medium parameters, time delay compensation is carried out, and an alignment sequence is obtained; intercepting a non-stationary segment to eliminate residual delay deviation; constructing a response dynamic data set, extracting harmonic frequency domain representation, and reconstructing a pressure sequence through inverse transformation and superposition of compensation factors; and calculating a deviation integral quantity, adjusting a dynamic compensation parameter, performing weighted correction, and outputting an optimized reconstruction response sequence. According to the method, accurate reconstruction of the real pressure response of the proportional valve can be realized, so that the accuracy and the reliability of response time testing are improved.

The invention relates to the technical field of waveform display, in particular to an eye pattern generation method and system based on a high-resolution oscilloscope, and the method comprises the following steps: analyzing a channel impact response, extracting effective delay, defining an operation kernel range, constructing sparse inverse filtering compensation distortion, judging an edge generation eye pattern track, and quantifying noise as a weight to carry out sub-pixel diffusion. According to the method, a delay set is established, a non-linear participation range is made to fit real channel behaviors, a high-order cross product is constructed in an original waveform, detail compensation of amplitude and time is enhanced in a sparse inverse filtering mode, and zero point and amplitude characteristics of a second derivative are combined, so that the error rate contour is deduced. A real edge interval is separated, continuous diffusion is formed in a histogram through a discrete probability weight constructed by quantizing noise, so that a statistical form of a low-probability region is completely reserved, and an error code related boundary presents a regular distribution structure in combination with a tail probability gradient.

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 discloses a method for enhancing DTS spatial resolution based on inverse filtering. The method comprises the following steps that firstly, observation signals are collected and preprocessed; establishing an observation model, representing the preprocessed observation signal as convolution of real temperature distribution and system detection pulse in a spatial domain, and superposing noise; then discrete sequence representation of the detection pulse is obtained or constructed, and normalization processing is carried out; constructing a regularization inverse filter in a frequency domain based on the detection pulse and the preprocessed observation signal; performing frequency domain transformation on the preprocessed observation signal, and multiplying the frequency spectrum of the observation signal by a regularization inverse filter in a frequency domain to obtain a recovered frequency domain signal; and carrying out inverse frequency domain transformation on the recovered frequency domain signal, and obtaining a time domain recovered signal after taking a real part. The method can effectively recover the fuzzy temperature signal characteristics of the detector, improves the reduction precision of the peak value and the edge, introduces the regularization term to suppress the high-frequency noise amplification, and gives consideration to the recovery performance and the stability.

The application discloses a kind of parametric array loudspeaker nonlinear distortion modeling and compensation method based on deep learning.The specific steps are as follows:(1) record the audio sound signal and its input signal of parametric array loudspeaker system output at the listening position where nonlinear distortion needs to be suppressed, and prepare the data set for modeling;(2) use neural network F to model the whole parametric array loudspeaker system, train neural network F using the data set;And using FIR filter model F lin Model the linear part of the system;(3) use trained neural network F and model F lin Train neural network G as the inverse filter of the system;(4) input the audio signal expected to be played into parametric array loudspeaker system after pre-processing by neural network G, to realize compensation for the nonlinear of the system.The method of the application can accurately model and effectively compensate the nonlinear distortion of parametric array loudspeaker, and significantly suppress the nonlinear distortion of parametric array loudspeaker.

The invention discloses a chaotic image encryption method based on an attention mechanism and a filter, and the method comprises the steps: inputting and preprocessing, self-attention feature extraction and key generation, chaotic system initialization and sequence generation, DNA coding encryption, and dynamic three-dimensional filtering diffusion. All parameters and sequences need to be reproduced by using the same key vector, inverse permutation, inverse filtering diffusion and DNA decoding are carried out in sequence, and finally an original image is subjected to lossless recovery. The invention relates to the technical field of information security, and in the method, a secret key is dynamically generated from image content through a self-attention mechanism, and a dynamic three-dimensional filtering diffusion mechanism is adopted to realize collaborative encryption and dynamic randomization processing of a color image three-dimensional structure, so that the security, diffusivity and anti-attack capability of an encryption system are remarkably improved.

A sound propagation characteristics correction apparatus includes: a pseudo inverse filter generation unit that generates a pseudo inverse filter by a function that smooths sound propagation characteristics from a speaker driver of a wearable open-ear speaker to an ear canal entrance; and an acoustic signal correction unit that corrects an acoustic signal on the basis of the pseudo inverse filter and transmits the corrected acoustic signal to the wearable open-ear speaker.

The present invention relates to an ultra-directional speaker system comprising: a first envelope calculation unit for calculating the envelope of the currently input audio input signal; a square root calculation unit for generating a square root signal of a first envelope signal by calculating a square root of the first envelope signal calculated by the first envelope calculation unit; a pre-distortion adaptive filter unit for generating a compensation signal by performing distortion compensation in which an adaptive filter coefficient update term according to an adaptive filter coefficient determined in a previous stage is applied to the currently input audio input signal; a second envelope calculation unit for generating a second envelope signal by calculating the envelope of the compensation signal; an error calculation unit for generating an error signal by comparing and calculating the second envelope signal with the square root signal of the first envelope signal; an adaptive filter coefficient update unit for calculating an adaptive filter coefficient update term and an adaptive filter coefficient from the error signal; a dynamic signal modulation unit for generating a modulation signal by dynamically modulating the compensation signal into an ultrasonic band; an ultrasonic transducer model for modeling an inverse filter corresponding to frequency characteristics of an ultrasonic transducer, and generating a filtering signal by applying the inverse filter to the modulation signal; an ultrasonic amplifier for amplifying the filtering signal; and the ultrasonic transducer for converting the amplified signal into an ultrasonic signal, wherein the dynamic signal modulation unit includes: an AM signal modulation unit for generating an AM modulation signal of transmission data; a first sideband signal modulation unit, which receives the AM modulation signal and performs a Hilbert operation thereon so as to obtain a first sideband modulation signal from which a carrier wave has been removed; and a second sideband signal unit, which receives the first sideband modulation signal and adds the carrier wave thereto so as to obtain a second sideband modulation signal.

This invention relates to the field of response time testing technology for electro-hydraulic proportional valves, and discloses a method and system for testing the response time of electro-hydraulic proportional valves. The method includes: acquiring multi-point pressure, step response, pipeline length, and medium parameters, and unifying the time base to obtain an original pressure sequence; constructing an inverse filter spectrum to remove damping interference and recover sharp peaks; calculating hysteresis offset based on pipeline and medium parameters to perform time delay compensation and obtain an aligned sequence; truncating non-stationary segments to eliminate residual delay deviations; constructing a dynamic response dataset and extracting harmonic frequency domain representations, and reconstructing the pressure sequence by inverse transformation and superimposing compensation factors; calculating the deviation integral, adjusting dynamic compensation parameters and weighting corrections, and outputting an optimized reconstructed response sequence. This method can achieve accurate reconstruction of the true pressure response of the proportional valve, thereby improving the accuracy and reliability of response time testing.

Provided is a playback sound correction apparatus that corrects a playback sound of an open-ear earphone including a speaker and a microphone, the apparatus including: a characteristics measuring sound playback unit configured to play back a characteristics measuring sound from the speaker; a transfer function calculation unit configured to calculate a transfer function from the speaker to the microphone based on a recorded sound of the microphone and the characteristics measuring sound; a correction filter calculation unit configured to calculate an inverse filter of the transfer function as a correction filter; and a playback sound correction unit configured to correct the playback sound with the correction filter.

The application relates to the technical field of speech recognition, in particular to a speech-based emotion recognition method, which comprises the following steps: according to an input speech signal, frame division and windowing are carried out. The application can obtain more profound insights into emotional expression by decomposing the input speech signal into two physical sources of glottal excitation and vocal tract response for independent modeling and analysis, obtaining a vocal tract transfer function set via linear predictive coding operation, and applying inverse filtering to the original speech signal to reconstruct an approximate glottal pulse sequence, effectively stripping the influence of vocal tract resonance on the signal, so that perturbation parameters, open quotient and closed quotient and the like representing vocal cord vibration patterns can be directly calculated, at the same time, the vocal tract transfer function set is used to identify and track the dynamic trajectory of the formant, and the phase difference cosine mean between adjacent frames is combined to quantify the sound production stability, and subtle dynamic adjustment and control stability of sound production organs such as the oral cavity and tongue position caused by emotional changes are captured.

Implementations of the disclosure provide a video processing method for invertible filtering in video coding. The video processing method may include receiving, by a processor, an image derived from encoded video information stored in a bitstream. The video processing method may also include applying, by the processor, a forward filter to the image to generate an intermediate image and flipping the intermediate image. The video processing method may further include applying, by the processor, an inverse filter to the flipped intermediate image to generate a reconstructed image, and inversely flipping the reconstructed image to generate an invertible reconstructed image.

The invention provides a method for correcting spectrum distortion of a Chirp conversion spectrum analyzer. The method comprises the following steps: establishing a broadening line phase error model and a compression line phase error model of the Chirp conversion spectrum analyzer; estimating a broadening line phase error and a compression line phase error through a Chirp signal phase error estimation method based on the broadening line phase error model and the compression line phase error model; establishing a system simulation model of the Chirp transform spectrum analyzer according to the broadening line phase error and the compression line phase error, and predicting spectrum distortion of the detected signal generated in the Chirp transform spectrum analyzer by using the system simulation model; constructing a correction curve and a Wiener inverse filter based on the predicted spectrum distortion; and correcting the actual spectrum output by the Chirp conversion spectrum analyzer by using the correction curve and a Wiener inverse filter.

This invention discloses a highly sensitive detection system for series fault arcs in cable branch boxes, relating to the field of remote condition monitoring and fault diagnosis technology for power distribution networks. Its key technical features include a distributed synchronous acquisition and composite excitation injection module, a topology inverse filtering and phase dispersion compensation module, an anti-pseudo-chaotic dynamic feature extraction and confidence assessment module, and a confidence-gated health assessment and prediction module, which are connected in series in the order of signal perception, physical reconstruction, feature purification, and health prediction. Through the collaborative work of distributed acquisition, topology inverse filtering compensation, pseudo-chaotic feature isolation, and confidence-gated prediction, this system restores the true arc waveform at the physical layer and isolates pseudo-chaotic interference at the algorithm layer, solving the problems of multi-branch signal distortion and transient interference contamination, thus achieving highly sensitive and reliable detection of series fault arcs.

The invention belongs to the technical field of OWS Bluetooth headset noise reduction, and provides an OWS Bluetooth headset noise reduction method and system based on artificial intelligence, and the method comprises the steps: obtaining audio, visual and motion data through a microphone array, a camera and a six-axis IMU, carrying out the preprocessing, extracting a fusion feature through a 1D-CNN and an attention mechanism, and generating a multi-dimensional noise feature vector; noise prediction and adaptive noise reduction are carried out, historical features are analyzed based on a time sequence prediction network, future 100ms noise is predicted, an anti-phase filter is generated according to frequency bands, and parameters are adjusted in real time according to errors; according to the method, low-power-consumption optimization is achieved, SNN is used for replacing part of models, event-driven calculation is achieved in combination with a memristor, redundancy operation is reduced based on noise sparsity, dynamic noise quick response, multi-mode accurate sensing and low-power-consumption operation are achieved, and the noise reduction effect and endurance of the OWS earphone are improved.

The invention relates to the technical field of intelligent commercial display equipment, and discloses a dynamic commodity intelligent display rack fused with an AI interaction technology, the dynamic commodity intelligent display rack comprises a limiting bottom plate, a camera device, a clamping assembly, a lifting assembly, a rotating assembly and a multi-mode sensing and driving control system, the side surface of the limiting bottom plate is connected with a protective shell and a fixed plate, and a storage plate is arranged in a frame. The overturning moment generated by overturning of the storage plate is calculated through the central processing module, the camera shooting equipment is controlled to do reverse linear accelerated motion in the shell, the inertia moment generated by the physical mass of the camera shooting equipment is used for counteracting lateral impact, and dynamic mechanical self-balance is achieved. The multi-mode sensing system fuses vision and current load data, controls the clamping assembly to flexibly fix commodities and drives the whole structure to follow an interaction target; and meanwhile, image blurring and drifting generated by movement of the camera equipment are eliminated by using an inverse filter and window reverse translation logic, and a clear and stable display picture is output while mechanical balance is kept.

Embodiments of the present disclosure provide a method of processing an audio signal, an electronic device and a vehicle. The method comprises: determining an impulse response function of a plurality of audio input modules in the vehicle for representing an acoustic transfer path of a sound source to the audio input modules; determining an inverse filter function of a corresponding audio input module in the plurality of audio input modules according to the impulse response function; determining a voice enhancement signal and a noise reference signal according to the inverse filter function; and adaptively filtering an audio signal input to the audio input module according to the voice enhancement signal and the noise reference signal. The method according to the embodiments of the present disclosure can utilize the acoustic environment of the vehicle itself to significantly improve the performance of speech enhancement with a lower computational load, thereby improving the user experience.

The invention discloses a high-speed data capture method based on a TIADC radio frequency direct sampling and DDC combined processing architecture, and the method comprises the steps: firstly collecting a full-band sweep frequency signal through a TIADC, and obtaining multi-channel parallel sampling data at different frequency points; performing wide linear inverse filter inversion based on multiple paths of parallel sampling data under different frequency points, designing a perfect reconstruction filter, a low-pass filter and a flatness filter at the same time, and combining the filters into an integrated correction filter through convolution; and finally, down-conversion and error correction processing are completed at a radio frequency signal acquisition front end based on TIADC radio frequency direct sampling and DDC combined processing architecture, high-speed data acquisition of input signals is realized, errors and distortion introduced by channels are suppressed, and high-quality high-frequency low-rate data streams are output to a subsequent digital signal processing module.

The utility model discloses a novel retaining wall drain pipe inverted filter device which comprises a drain pipe and an inverted filter assembly, the drain pipe is provided with holes, the inverted filter assembly is arranged in the drain pipe and fills the inside of the drain pipe, the inverted filter assembly comprises a plurality of inverted filter parts, and the inverted filter parts are arranged in the drain pipe. The filter can pass through the inverted filter assembly; the inverted filter part comprises an inverted filter ball and an inverted filter shell which are detachably connected, and the inverted filter ball and the inverted filter shell are both made of hard materials and are filled with inverted filter materials; compared with the prior art, the utility model has the beneficial effects that the inverted filter components can be stuffed into the drainage pipe in batches, the operation convenience is increased, the stability of the filter material can be maintained, and after the inverted filter components are stuffed into the drainage pipe, the inverted filter components can form internal support for the drainage pipe, the overall stress strength is increased, and the service life of the drainage pipe is prolonged. And the problem of deformation of the drain pipe during pressing is avoided.

The application discloses a kind of medium voltage distribution network fault ranging method and system based on travelling wave waveform reduction, it is related to distribution network ranging technical field, the method includes according to the entry capacitor of the collected to be detected distribution network line, line impedance and travelling wave transmission delay, total transmission function reflecting the multi-stage distribution of travelling wave signal is established;In total transmission function, introduce the frequency domain compensation mechanism of being set, obtain target inverse filter compensation function;The target inverse filter compensation function is converted into discrete problem, and regularization correction and parameter optimization are carried out in turn;Solve the regularization equation obtained after optimization, according to the original travelling wave signal waveform that result is reduced out;According to original travelling wave signal waveform, high-precision fault ranging to the line of to-be-tested distribution network is realized.