50 results about "Impulse response" patented technology

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.

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 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.

Provided are quantum control methods and systems. The method includes generating a control pulse in a quantum system, determining a measurement of a state of the quantum system in response to the control pulse, determining a control pulse correction based on the control pulse, the measurement of the state of the quantum system, and a model reference state, modifying the control pulse based on the control pulse correction, resulting in a modified control pulse, and generating the modified control pulse in the quantum system.

The application discloses a kind of pulse response type dynamic impedance measurement and regulation device, comprising: pulse generation unit, control unit, acquisition module;Control unit sends the control signal including operating parameter to pulse generation unit;Pulse generation unit generates low-voltage pulse, and low-voltage pulse is applied in load both ends;Module synchronous measurement voltage and current in load both ends, and voltage and current are detected, while analog signal is converted into digital signal;Control unit stores and transports the digital signal collected, and obtains impedance value according to voltage and current.This application is measured by applying real-time voltage pulse to ablation tissue, and the real-time impedance change of ablation tissue is calculated according to the voltage and current in the two ends of ablation tissue, so as to realize the real-time evaluation of the ablation effect of target area.The device can be used with high-voltage pulse ablation equipment through interface unit, realize the feedback adjustment of high-voltage pulse parameters, and more optimized ablation effect can be obtained in shorter time.

A method and apparatus for diagnosing faults in the running gear of a rail vehicle, belonging to the field of rail transit vehicle fault diagnosis technology. The diagnostic method includes: acquiring monitoring signals from the running gear of the rail vehicle under test and determining preprocessed signals; constructing a reinforcement learning environment and building an agent; constructing a comprehensive reward function and training the agent using a dual-delay deep deterministic policy gradient algorithm to obtain the optimal policy output by the trained agent and the main network of the trained agent; updating the coefficients of the finite impulse response filter using the optimal policy, and performing Hilbert transform and envelope spectrum analysis on the preprocessed signals based on the updated finite impulse response filter to identify faults in the running gear of the rail vehicle under test. This invention can accurately identify the fault type and location of the running gear of a rail vehicle, improving the accuracy and reliability of fault diagnosis and solving the problem of low accuracy in identifying faults in the running gear of rail vehicles.

The application provides a method and device for transverse feedback of beam current in a storage ring. It relates to the field of particle accelerators. The method for transverse feedback of beam current in a storage ring comprises: using a plurality of electrodes of a beam position probe to synchronously collect signals of beam bunches in the storage ring to obtain a plurality of BMP beam original signals; for a plurality of instability modes of the beam bunches in the storage ring, respectively performing band-pass sampling on the plurality of BMP beam original signals to obtain a plurality of ADC band-pass sampling signals; based on the respective spatial dimensions to which the plurality of ADC band-pass sampling signals belong, respectively performing phase shift processing on the plurality of ADC band-pass sampling signals by using an impulse response filter of the corresponding spatial dimension to obtain a plurality of beam current phase shift signals; performing gain control based on a feedforward reference gain of the beam bunches and the plurality of beam current phase shift signals to obtain beam current feedback signals; and based on the plurality of beam current feedback signals, applying damping force to the beam bunches by a beam impactor to suppress the instability modes of the beam bunches.

This invention provides a landslide range enhancement extraction method and electronic device with impulse spatial suppression, applicable to the fields of image processing technology and deep learning technology. The method includes: preprocessing the remote sensing image to be extracted to obtain candidate landslide images; encoding the candidate landslide images using an encoder with impulse response characteristics to generate multiple levels of image features, wherein the encoder with impulse response characteristics is used to improve the extraction of landslide features in the candidate landslide images and to suppress background interference features in the candidate landslide images; and decoding the L levels of image features using a cross-layer perceptual decoder to obtain the target landslide image.

This invention discloses a method for non-integer multiple sampling rate transformation based on a digital matched filter. The method includes the following steps: calculating the phase adjustment value related to the non-integer multiple sampling rate transformation based on the input-output sampling frequency relationship; determining the phase adjustment accuracy based on the input-output sampling frequency relationship; designing a digital filter based on the phase adjustment accuracy to obtain the digital matched filter impulse response value; and using the phase adjustment value as an index of the digital matched filter impulse response value to perform matched filtering calculations, thereby realizing the non-integer multiple sampling rate transformation. This invention significantly reduces the complexity of digital filter design, saves development time and costs, and offers high flexibility and effectiveness for systems requiring fractional multiple transformation and matched filters in communication systems.

The application belongs to the technical field of wireless communication and channel modeling simulation, and discloses a closed-loop multi-mode channel simulation method for complex scenes, constructs a scene feature library and classification label and unifies a space-time reference; establishes a three-dimensional non-stationary propagation skeleton output basic time-varying impulse response and large-scale loss; introduces multipath cluster birth and death and parameter continuity constraint; adds shielding, meteorological / medium attenuation and Doppler / micro-Doppler according to the environment and motion state increment; constructs a typical link and noise-interference dynamic superposition and establishes parameter coupling mapping; adopts machine learning to intelligently optimize the model and nonlinearly fuse multiple models and label mutation trigger factors; learns a link selection / switching strategy based on reinforcement learning, combines simulation-to-standard error and event labeling feedback, and iteratively optimizes and updates the feature library, fused parameters and strategy parameters in a closed loop, so that continuous learning and cross-scene self-adaptation are realized.

Methods and systems for finite impulse response filter under a constrained sampling rate. A method for constrained sampling rate filtering includes segmenting an input signal with a first rate into a defined number of streams, wherein the defined number of streams sets an effective sample rate of each stream to at least less than a second rate and the second rate is less than the first rate, determining filter coefficients for a finite impulse response filter, grouping the filter coefficients into subsets of filter coefficients to match the defined number of streams, applying in parallel, for each of the defined number of streams, a subset of filter coefficients to a corresponding stream, and combining at least some outputs from the defined number of streams conditionally based on the second rate.

Disclosed herein are embodiments of a method of training a machine learning prediction model for use in an open loop transfer function estimator of a hearing aid. The method uses simulation data representing sound from a known, simulated acoustic environment of the hearing aid, the simulation data including a feedback path transfer function representative of an impulse response of a feedback path of the hearing aid.

Embodiments of the present application provide a power consumption characteristic model library establishment method and device, electronic equipment and a storage medium. The method comprises: obtaining real-time running data of each type of device in a target machine room in different time periods; performing characteristic modeling on the real-time running data based on a time-varying parameter random volatility rate vector autoregressive model to generate a time-varying influence coefficient graph and an impulse response graph corresponding to each type of device; determining the variable relationship between related variables in the running process of each type of device according to the time-varying influence coefficient graph and the impulse response graph; and constructing a power consumption characteristic model library based on an application scenario corresponding to each type of device in the target machine room according to the variable relationship. The power consumption characteristic model library based on an application scenario established by the embodiments of the present application can effectively improve power utilization while ensuring the safety of communication machine room power operation.

A communication method and apparatus are provided for reducing the instruction overhead of channel impulse response tap feedback. The method includes the steps of receiving first instruction information and transmitting first channel impulse response information based on the first instruction information. The first instruction information indicates one or more channel impulse response groups that need to be fed back within a channel impulse response window, and each channel impulse response group that needs to be fed back includes the first channel impulse response tap and the second channel impulse response tap within the channel impulse response window, and all channel impulse response taps between the first channel impulse response tap and the second channel impulse response tap. s1 and s2 are positive integers, and t1 and t2 are positive integers. The first channel impulse response information is one or more channel impulse response groups indicated by the first instruction information that need to be fed back.

Traditional methods require extensive calculations to fit the parameters of the hysteresis voltage model. The parameter fitting procedure of this invention executes the following steps: Model building process (S1), which defines a hysteresis voltage model that forms an equivalent circuit using resistance parameter R and capacitance parameter C; Impulse response measurement process (S2), which obtains at least one voltage parameter from the measured value of the pulse voltage of the secondary battery; Resistance parameter setting process (S3), which calculates the value of resistance parameter R based on the voltage parameter; and Capacitance parameter optimization process (S4), which applies a current signal identical to the pulse current to the hysteresis voltage model to obtain a voltage response value and optimizes the value of capacitance parameter C in the hysteresis voltage model so that the voltage response value matches the value of the voltage parameter obtained in the impulse response measurement process. The hysteresis voltage model includes the resistance parameter R calculated in the resistance parameter setting process (S3).

The application discloses an echo cancellation method based on a room impulse response estimation model and belongs to the technical field of acoustic signal processing, and comprises the following steps: step S1, a room impulse response estimation model is built; step S2, the room impulse response estimation model is trained, evaluated and verified; step S3, double-speech detection is performed; and step S4, according to the detection result, no speech, single-speech echo speech and double-speech echo speech can be obtained, and echo cancellation is performed on the different paths. The application mainly aims at processing echo problems in the network audio call and video conference environment, can weaken and eliminate the echo problems, improves the voice and video call quality, and is suitable for a wide range of applications.

A THz-based combined communication and sensor system for smart city infrastructure, comprising: a terahertz (THz) transceiver configured to operate within a predetermined THz frequency range, and comprising a signal generation unit, a modulation circuit, and a beamforming antenna array, wherein the THz transceiver is designed to transmit modulated THz signals to one or more wireless nodes and to receive corresponding reflected and scattered THz signals from surrounding objects using a common radio frequency front end;a waveform generation module that is functionally coupled to the THz transceiver and configured to generate a dual-purpose THz waveform that simultaneously embeds communication data and enables environmental sensing, wherein the waveform is structured to facilitate the extraction of signal characteristics, including at least one of the following parameters: channel impulse response, Doppler shift, arrival angle, propagation delay, and signal scattering parameters;an artificial intelligence (AI) processing module that is functionally coupled to the THz transceiver and configured to receive baseband signals corresponding to both directly received and reflected THz signals, wherein the AI ​​processing module is further configured to process the signals using one or more trained machine learning or deep learning models to extract environmental features, including at least one of the following: object presence, object distance, object velocity, object classification, pedestrian density, traffic flow, obstacle detection, and spatial distribution of objects;and a smart city control interface that is functionally coupled with the AI ​​processing module and configured to transmit the extracted environmental features to one or more external systems, including traffic management systems, autonomous vehicle platforms, public safety systems, or urban analytics platforms, and further configured to enable adaptive control of communication parameters, including beam direction, transmit power, modulation scheme, and bandwidth, based on the extracted environmental features, the system being configured to simultaneously perform high-speed wireless communication and real-time environmental sensing using the same THz waveform and a common hardware infrastructure without requiring separate sensing devices.

The present application belongs to the technical field of aero-engine compressor test data processing and state discrimination, and relates to a compressor instability surge data analysis method based on moment functions. The present application takes the compressor dynamic pressure time series as the processing object, obtains the analysis sequence under the unified time scale through the finite impulse response filtering and downsampling, and can reduce the influence of high-frequency sampling data redundancy and local noise on the subsequent discrimination; the present application uses the sliding window surge index to automatically calibrate the surge starting reference time, and forms the steady-state sample interval and the risk sample interval accordingly, thereby reducing the subjective difference caused by manual visual calibration; the present application constructs the statistical moment characteristic table containing the mean, variance, skewness, kurtosis, variance growth rate, skewness offset and excess kurtosis, and can more completely represent the changes of pressure signal fluctuation intensity, distribution offset and sharpness compared with single amplitude discrimination.

This invention discloses an adaptive cancellation circuit for a frequency-modulated continuous wave radar, comprising the following components: a power divider, which splits the radar signal into two output signals, namely a first transmitted signal and a second signal LO; and a mixer, which receives the two output signals from the power divider, one of which serves as the local oscillator and the other as the receiver; the self-coupling signal delay at the RF input port of the mixer is the same as the delay of the second signal LO. This invention increases the LO trace delay, making the LO trace path delay equal to the antenna self-coupling path delay, thereby bringing the self-coupling intermediate frequency (IF) signal output close to zero frequency. This allows the self-coupling IF signal to be easily filtered out, significantly reducing the signal-to-noise ratio degradation caused by the impulse response.

The present application provides a computer-implemented method for generating spatial audio with uniform reverberation in real-time communication sessions, executed by a real-time communication software application running on an electronic communication device. The method comprises: removing reverberation from a recorded speech signal of a far-end participant by a dereverberation method; generating a direct sound part by filtering the output signal through a head-related transfer function of a target direction; generating a reverberation part by convolving the output signal with a uniform room impulse response or an artificial reverberator; and combining the direct sound and the reverberation to generate a spatialized speech signal. If the speaker and the listener are located in two virtual conference rooms, the reverberation of the two rooms is joint; at this time, the output signals from the two rooms are convolved with the joint RIR to generate the reverberation part.

Disclosed equalizers, transceivers, communication systems, and associated methods, provide adaptation of pre-equalizer coefficients based on at least one receive filter coefficient. One illustrative equalizer includes: a discrete-time, finite impulse response (“FIR”) filter configured to convert a receive signal to a filtered signal; a decision element to determine channel symbols represented by the filtered signal; and a controller. The controller is: configured to adjust coefficients for the FIR filter based on a performance of the equalizer, the coefficients including a first post-cursor coefficient; and configured to change a first post-cursor coefficient of a pre-equalizer if the first post-cursor coefficient of the FIR filter has a magnitude exceeding a first threshold.

A ray trace simulation may be performed using a model of a user's environment. A decay rate of the environment may be measured in one or more microphone signals that capture sound in the user's environment. A room impulse response of the environment may be generated from the ray trace simulation. The model of the environment may be modified based on the decay rate of the environment and the room impulse response.

This invention provides a method for implementing car audio effects based on a real performance venue model. The method includes: S1: placing a sound source to be tested in the target performance venue, and setting up at least two sets of performance venue test points with the sound source to be tested as the origin, collecting the performance venue impulse response at each performance venue test point, and forming an original acoustic signal; S2: processing the original acoustic signal to obtain a standardized acoustic signal; S3: controlling the car audio system in the car cabin to play the test sound, setting up at least two sets of cabin test points in the car cabin, and collecting and obtaining the cabin impulse response; S4: extracting the performance venue impulse response and the cabin impulse response, calculating and obtaining the target impulse response; S5: calculating the target audio signal y(t) by performing a convolution operation between the standardized acoustic signal and the target impulse response; S6: adjusting the sound effect parameters of the target audio signal and playing it through the car audio system in the car cabin.

This invention belongs to the field of atmospheric data processing technology. It proposes a method and system for three-dimensional reconstruction of temperature data based on biquadratic spline interpolation. The method reads temperature data and corresponding altitude information of discrete pressure layers, constructs a regularized three-dimensional data structure, and calculates the average physical altitude of each pressure layer. For each pressure layer, a quadratic spline interpolation method with natural boundary conditions is used to construct a two-dimensional continuous horizontal basis function using the grid point temperature data as known values. Using the average physical altitude of each pressure layer as nodes, a quadratic spline vertical weight function satisfying the unit impulse response condition is constructed and normalized. For arbitrary target altitude and latitude / longitude coordinates, the two-dimensional continuous horizontal basis function and the normalized vertical weight function are fused by a weighted summation method to obtain a continuous three-dimensional temperature field. This invention achieves high-precision continuous reconstruction of the temperature field in three-dimensional space.

The present application relates to the technical field of intelligent remanufacturing and industrial process monitoring, and particularly relates to a kind of crack early warning methods of multi-modal data driving in repair remanufacturing process, the method comprises: obtaining multi-modal monitoring and process event data, constructing process coordinate index and window alignment, determine pilot injection interval;In the interval, superimpose pilot disturbance on energy input instruction and label validity, match demodulation to obtain equivalent impulse response and calculate tail wave coherence coefficient;Combine acoustic emission event point set to calculate evidence conflict degree, use conformal prediction to obtain crack risk confidence;When confidence is low or conflict degree is high, adjust pilot parameter and retest, output crack risk and control instruction.

The application discloses a conference acoustic simulation method and system based on a virtual sound source method, and relates to the technical field of intelligent conference systems.The method comprises the following steps: S1, generating the acoustic impulse response of a target acoustic measuring point in a conference room by using the virtual sound source method, wherein the audio processor is a programmable digital signal processor; and S2, establishing an association model between parameters of at least two adjustable parameter modules in the audio processor and acoustic performance indexes based on the acoustic impulse response.The application models the parameter optimization problem of an equalizer and a feedback suppressor as a two-person game problem for the first time, solves the Nash equilibrium by defining a strategy set and an utility function and adopting a turn-by-turn game mechanism, fundamentally solves the coupling optimization problem that the two interfere with each other and it is difficult to balance the voice intelligibility and system stability in the background technology, and realizes the collaborative optimal balance of maximizing the voice intelligibility on the premise of ensuring the system stability.

This application relates to an audio signal processing method performed by a computer device. The method includes: obtaining a set of scenario layout parameters corresponding to a current simulated scenario; sampling, at a preset sampling rate, an audio signal emitted by at least one audio source to obtain at least one sample; determining, based on a linear distance, a simulated traveling distance corresponding to each sample; determining a number of simulated reflections based on the simulated traveling distance; determining a reflection coefficient based on an environmental-spatial parameter, and respectively determining, based on the reflection coefficient, the simulated traveling distance, and the number of simulated reflections, a simulated reflection loss corresponding to each audio source; and generating a simulated impulse response under the current simulated scenario based on the simulated reflection loss corresponding to each audio source.

This invention discloses a method, apparatus, device, and medium for PPG spectrum enhancement based on adaptive weighting. The method includes: performing a Fast Fourier Transform on the PPG signal after removing motion artifacts to generate continuous spectral frame data, and calculating the signal-to-noise ratio (SNR) of the spectral frame data; quantizing the user's current motion level based on the motion acceleration component signal, and dynamically determining the fusion weight between the current spectral frame data and historical spectral frame data based on the calculated SNR of the current spectral frame data; fusing the current spectral frame data and historical spectral frame data using an infinite impulse response recursive weighted accumulation algorithm based on the determined fusion weight between the current spectral frame data and historical spectral frame data to obtain enhanced current spectral frame data; and detecting the user's current heart rate based on the enhanced current spectral frame data. This invention denoises the PPG signal with low computational overhead, improving the accuracy of user heart rate detection.

The invention discloses a sound field control method, a measurement device, electronic equipment and a readable storage medium, and relates to the technical field of spatial audio, and the method comprises the steps: obtaining the propagation time delay from a plurality of sound sources to at least one target listening point in a target listening area; performing pulse response modeling based on each propagation time delay to obtain a prototype filter model; performing optimization solution on the prototype filter model according to a preset target response function to obtain a target filter coefficient; wherein the objective of the optimization solution is to minimize an error between a system response function of the prototype filter model after the prototype filter model is processed by a target filter coefficient and a target response function; the target filter coefficient is used for filtering the audio input signal so as to reconstruct or form a sound field in the target listening area. According to the invention, the robustness of sound field control is improved.