72 results about "Finite impulse response" patented technology

The invention belongs to the technical field of underwater acoustic engineering and digital signal processing, and particularly relates to a fractional delay FIR (Finite Impulse Response) phase calibration method and system of a multichannel sonar system. Comprising the steps of signal acquisition and reference channel selection; high-precision relative delay estimation; calculating a cross-correlation function of other channel signals and the reference channel signal, performing coarse estimation by searching a peak point of the amplitude of the cross-correlation function, and performing fine estimation on the peak position by using a parabola interpolation method to obtain the delay time of each channel relative to the reference channel; designing an FIR fractional delay filter; digital filtering and phase calibration; verifying a calibration effect; and calculating the phase of each channel signal at the target frequency point after calibration, and counting the standard deviation of each channel signal so as to evaluate the improvement degree of phase consistency. The method aims at overcoming the defect that traditional integral multiple sampling delay correction precision is insufficient, high-precision phase compensation of a sub-sampling point level is achieved, and therefore the performance of algorithms such as beam forming of a multi-channel sonar system is remarkably improved.

The invention discloses a distribution network power line anti-interference communication method based on adaptive filtering, and belongs to the technical field of distribution network power line communication. According to the method, a communication signal adopting a frequency shift keying modulation mode is acquired from a power line coupler of a distribution network through a signal acquisition module, the communication signal is preprocessed by using a digital signal processing unit, spectral analysis is performed on the preprocessed signal, and characteristic parameters of interference noise are extracted; a coefficient vector of a finite impulse response adaptive filter is initialized based on the characteristic parameters, the order of the filter is in direct proportion to the reciprocal of the dominant interference frequency, fine adjustment is carried out based on noise energy distribution through a table look-up method or a linear mapping relation, and the weight coefficient of the filter is adjusted in real time in the communication process. The adjustment step length is dynamically adjusted according to the real-time estimated signal-to-noise ratio, and finally, the processed signal is output through the adaptive filter and data demodulation is carried out. The method is mainly used for improving the anti-interference capability and the communication reliability of the power private line communication of the distribution network.

The invention belongs to the technical field of ground penetrating radar signal processing, and relates to a ground penetrating radar signal denoising method based on optimal proportion-kurtosis joint masking, which comprises the following steps: carrying out short-time Fourier transform on a single-channel ground penetrating radar echo signal to obtain a complex time-frequency graph and a power spectrum thereof; calculating an optimal proportion masking index; calculating the frequency domain kurtosis of each frame according to the amplitude of the complex time-frequency graph in the time-frequency domain, and adaptively determining a kurtosis threshold; constructing an optimal proportion masking matrix, constructing a kurtosis masking matrix by using the kurtosis threshold, and multiplying the optimal proportion masking matrix and the kurtosis masking matrix point by point to obtain a final masking matrix; the final masking matrix is multiplied by the complex time-frequency graph, then inverse short-time Fourier transform is executed, and a preliminary denoising time-domain signal is reconstructed; and applying zero-phase finite impulse response band-pass filtering to obtain a final high-signal-to-noise-ratio ground penetrating radar signal. The method does not need to additionally collect a reference channel, is low in calculation complexity, and can remarkably improve the signal-to-noise ratio of the ground penetrating radar data and the target identifiability.

The invention relates to a road cavity detection and identification method and system based on multichannel optical fiber sensing. The method comprises the following steps: acquiring and storing Rayleigh scattering light time domain signals which are acquired by a DAS underground sensing system at different positions and different time periods of a detection road section and contain active knocking signals; determining a frequency range of the active knocking signal according to a frequency spectrum obtained after the Rayleigh scattering light time domain signal is subjected to fast Fourier transform processing; carrying out filtering processing on the Rayleigh scattering light time domain signal by adopting a finite impulse response band-pass filter to obtain a filtered signal; the filtered signal is input into a PhaseNetDAS model for seismic phase pickup, and an active source seismic phase is obtained; associating the active source seismic facies with the active source event to obtain a seismic facies report including event latitude and longitude, time and seismic facies arrival time; and inverting the velocity structure of the underground medium by using the seismic phase report by using a tomography method, and determining a road cavity detection and recognition result, thereby improving the accuracy of road cavity detection.

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 relates to the field of photonic device modeling, and discloses a parameterized optoelectronic joint simulation platform construction method for optoelectronic chip design, which is characterized in that, in an electronic design automation platform, a unified model framework of a photonic device is constructed based on a hardware description language, and conversion between frequency domain response and time domain response is realized in the model, including the following steps: a general VerilogA model framework is constructed based on the frequency domain response of the photonic device; a frequency-time domain numerical conversion mechanism is realized in the model; and for the photonic device with dispersion characteristics, a parameterized time domain model is constructed based on a finite impulse response. The application can directly embed the photonic device model into an electronic circuit simulation environment, co-simulate the electronic device, support time-frequency domain analysis of the cascade structure and the loop structure, thereby avoiding the complicated steps of separate simulation by relying on external simulation tools in the process of optoelectronic chip design, and further improving the design efficiency and iteration speed of the chip.

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.

Embodiments of the present disclosure relate to low power finite impulse response filters. A finite impulse response (FIR) filter includes a plurality of registers. A data input terminal of each register is directly coupled to an input of the FIR filter. On each clock cycle of a filter clock signal, a new data value is transferred to each register. On each clock cycle, only one register processes the data value. A ring counter is coupled to the registers and determines which register processes the data value on each clock cycle.

A noise reduction (NR) system includes a finite impulse response (FIR) filter and a filter manager circuit. The FIR filter is used to perform NR upon a filter input derived from an input signal. The filter manager circuit is used to determine a configuration of a minimum phase filter according to the input signal, and update the FIR filter by the configuration of the minimum phase filter.

The invention provides a WiFi network digital down-conversion system which comprises a multi-phase mixer and a resampling filter. The multi-phase mixer is used for converting a high-speed digital band-pass signal into a low-speed mode so as to realize digital down-conversion (DDC) on an FPGA (Field Programmable Gate Array) platform; and the resampling filter is used for reducing the sampling rate and removing unwanted frequency spectrum components to generate a complex baseband frequency spectrum. The multi-phase mixer PM of the present invention employs a parallel coordinate rotation digital computer (CORDIC) processor and a low pass filter array to reduce high speed data rates while minimizing resource utilization. The resampling filter comprises a cascade integral combination (CIC) filter and a multi-channel pulse finite impulse response (FIR) filter, optimal hardware cost is achieved, a floating point data type is converted into a fixed point data type, and resources are remarkably saved.

The application relates to the field of ultra-wideband radar imaging and optical computing technology, in particular to a light computing real-time processing method for ultra-wideband radar imaging. The method comprises core steps of signal receiving and electro-optical modulation, optical pulse compression, initial phase compensation based on Kalman filtering, envelope alignment, coherence recovery and two-dimensional grid projection. Based on the ultrafast linear processing advantage and algorithm optimization principle of light computing, the application utilizes optical finite impulse response filters and adjustable delay line technology to disassemble and reconstruct the traditional imaging method, and reduces the end-to-end processing delay to the sub-millisecond level. The application breaks through the real-time processing bottleneck of ultra-wideband radar imaging, provides effective theoretical support and method basis for developing a full real-time ultra-wideband two-dimensional fine imaging system, and is widely applicable to application fields with high real-time requirements such as military reconnaissance and geological exploration.

The invention relates to a partial discharge mode identification method and device of a generator stator, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a partial discharge signal of a generator stator to be identified, performing modal decomposition on the partial discharge signal through an adaptive finite impulse response filter bank to obtain a target decomposition mode of the partial discharge signal, and generating a partial discharge feature corresponding to the partial discharge signal; inputting the partial discharge characteristics into a pre-trained partial discharge mode recognition model, and outputting a partial discharge mode recognition result of the generator stator; the pre-trained partial discharge mode recognition model is a deep learning model based on multi-scale fusion; the partial discharge mode recognition result is obtained by performing down-sampling processing of different preset multiples on the partial discharge features by a pre-trained partial discharge mode recognition model and fusing at least two feature maps of different sizes. By adopting the method, the partial discharge mode recognition precision of the generator stator can be improved.

Internal combustion engine operating procedures, including: Receiving a signal to a controller (12); Setting coefficients (b0, b1, ... b N ) of a filter with a finite impulse response in response to an internal combustion engine intake ratio (i r ); Filtering the signal through the finite impulse response filter; Filtering the output of the finite impulse response filter via a low-pass filter in response to a change in the combustion engine intake ratio (i r ); Non-filtering of the finite impulse response output of the low-pass filter in response to a lack of change in the combustion engine intake ratio; and Setting one or more actuators in response to the filtered signal.

The invention relates to a method for reducing the bias in a periodic signal having a theoretically zero mean value and provided by a sensor associated with a rotary electric machine, in particular by a sensor for determining the angular position of a rotor of a rotary electric machine, the method comprising: - receiving the signal provided by the sensor; - multiplying this signal by a signal proportional to the rotational speed of the rotor of the rotary electric machine in order to obtain a first signal; - at least one integration over half a period of the first signal in order to obtain a second signal; - applying, to the second signal, a finite impulse response filter, in particular a comb filter, so as to add, to the second signal, a delayed version of this second signal in order to obtain a third signal representative of the bias, in particular equal to the bias of the signal provided by the sensor; and - subtracting the third signal from the signal provided by the sensor, so as to reduce the bias in this signal provided by the sensor.

The invention belongs to the technical field of digital signal processing, and particularly relates to a low-complexity segmented filtering method based on a bilateral overlap-save method in a broadband communication system. Aiming at the problem of realizing a large-scale finite impulse response filter in a hardware platform with a limited Fourier transform size, the method comprises the following steps of: dividing a long filter into a plurality of sub-segments and respectively performing frequency domain representation; the method comprises the following steps: performing bilateral overlapping storage on input signal blocks, performing fast Fourier transform, introducing phase shift in a frequency domain to realize time shift, further accumulating frequency domain product results of each filter section and a signal block, and finally obtaining filtering output only through one-time inverse fast Fourier transform. According to the method, the inverse fast Fourier transform operation times are remarkably reduced, the calculation complexity and the storage requirement are greatly reduced, the filtering performance is kept, meanwhile, excellent hardware friendliness is achieved, and the method is particularly suitable for occasions needing an ultra-long filter, such as optical fiber communication dispersion compensation processing.

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 discloses a kind of cable arc light ground fault dynamic change monitoring method and device, method includes the following steps: single-phase arc light ground fault recording data of fault line is collected, including zero sequence voltage and zero sequence current, single cycle uses point is not less than 256;According to zero sequence voltage data, determine fault start and end time;To the zero sequence current data between the fault start and end time that has been determined is carried out finite impulse response digital low-pass filtering, cut-off frequency is 10kHz;According to the zero sequence current data after filtering, determine arc extinguishing process;Retrieve the data of all arc extinguishing process, determine the parameter of the starting stage, arc stage and extinguishing stage of each arc process;According to the parameter determined, arc dynamic process is analyzed and judged, and the state of single-phase ground fault is determined.The application effectively monitors the change characteristics of single-phase arc light ground fault, and provides an evaluation basis for the severity of cable fault.

The utility model discloses a high-order FIR (Finite Impulse Response) filter based on an FPGA (Field Programmable Gate Array), relates to the technical field of digital signal processing, and solves the technical problems of low resource utilization rate and higher energy consumption caused by the fact that an adder of an existing distributed FIR filter occupies a large number of resources. The device comprises an input register module, a lookup table address generation module, a lookup table module and a shift accumulation module which are connected in sequence, the lookup table address generation module is used for splicing the two pieces of data with the same filter coefficient and decomposing the two pieces of data according to bits, and the data on the same bit form a lookup table address vector; the lookup table module groups the address vectors according to five bits and outputs corresponding partial products through a cascaded LUT6 lookup table, and the LUT6 is configured to be of a five-input and double-output structure; and the shift accumulation module is used for shifting the obtained partial products according to the weight corresponding to each partial product and accumulating all shifted results. The device has the advantages of high resource utilization rate and the like.

A control device controls operation of a compensation device that compensates for birefringence and / or polarization mode dispersion experienced by signal light propagating in an optical transmission path by digital signal processing using a finite impulse response filter, the control device having: a detection signal receiving section that receives a detection signal that is a signal representing a detection result of a detection device that optically detects a polarization fluctuation in the optical transmission path; and a setting section that decides a setting related to an update frequency or update interval of a tap number of the finite impulse response filter or a setting related to an update frequency or update interval of a tap coefficient of the finite impulse response filter based on the detection result of the detection device.

This invention belongs to the field of fault diagnosis technology. It proposes an adaptive simplified mode decomposition method for fault diagnosis of wind turbine gearboxes. The method acquires the original vibration signal of the gearbox and constructs a multi-channel input matrix. Initial modal components are extracted using an initial multi-channel finite impulse response filter bank. The filter coefficients are updated at the parameter level using reweighted kurtosis as an indicator to enhance the impact characteristics. Then, a two-stage structural optimization is implemented: first, redundant channels are merged based on the consistency of the time-domain periodic structure; then, secondary simplification is performed based on the consistency of the frequency-domain modulation characteristics. Finally, the target filter bank and modal components are obtained. This invention effectively suppresses modal splitting and automatically extracts high signal-to-noise ratio fault features through a two-layer evolution mechanism of parameter updating and structural merging, significantly improving the accuracy and efficiency of early gearbox fault diagnosis.

The invention relates to a device for a radiofrequency communication system of a first object, the device comprising at least one transmission chain (5), the chain sequentially comprising at least: a digital modulator (7), a communication interface (9) which is designed, when in use, to communicate by radiofrequency with at least a second object which is remote from the first object, the interface sequentially comprising at least a radiofrequency transmitter (11) and a radiofrequency filter (12). Moreover, the device comprises a digital pre-correction module (8) arranged between the digital modulator (7) and the communication interface (9), the digital pre-correction module comprising at least one finite impulse response filter (13) defined on the basis of at least one characteristic of the radiofrequency filter.

The invention discloses a parameter and state joint estimation method for inputting a nonlinear model under non-ideal data, and belongs to the technical field of industrial process control, system identification and state estimation. According to the method, a joint estimation algorithm based on an expectation maximization algorithm, unbiased finite impulse response filtering and a probability weighted delay mechanism is provided for the common concurrent defects of input nonlinearity, abnormal values, random time delay, data missing and the like in the industrial process. By introducing measurement noise containing abnormal values in student t distribution modeling and regarding missing data, time delay and the like as hidden variables, alternate updating of parameters and states is realized under an EM algorithm framework. The core of the method is that a probability weighted delay PWD mechanism is provided, soft weighting is carried out by using complete posteriori distribution of delay, and robustness to delay uncertainty is enhanced; and meanwhile, a UFIR filter which does not need priori noise statistical information is adopted to carry out state estimation, so that non-Gaussian noise interference is effectively resisted.

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.

The present invention relates to an ultrasonic sensor unit having a logic unit and an ultrasonic array unit, wherein the ultrasonic array unit is configured to transmit and / or receive at least one ultrasonic wave, wherein the logic unit is configured to apply a first filter with a finite impulse response to the received ultrasonic wave in order to generate a first filter output signal, wherein the logic unit is configured to apply a first channel-specific filter to the filter output signal in order to feed a first result of the first channel-specific filter into an adjusted filter.

A method for determining a finite impulse response filter, including generation of a plurality of individuals presenting configuration parameters, and cyclic implementation of the following operations in relation to each current population of configuration parameters: evaluation by an objective function of each individual, evaluation by at least one constraint function of each individual, selection of a group of individuals among all the individuals based on their evaluations by the objective function and the constraint function and formation of parent individuals, crossover of parent individuals to form a new population, mutation of individuals in the new population, and verification of a stopping criterion.

A method for reducing bias in a periodic signal with a theoretically zero average value provided by a sensor associated with a rotating electrical machine, in particular by a sensor for determining the angular position of a rotating electrical machine rotor, the method comprising: - receiving the signal provided by the sensor - multiplying this signal by a signal proportional to the rotational speed of the rotating electrical machine rotor to obtain a first signal - at least one integration over half a period of the first signal to obtain a second signal - applying a finite impulse response filter to the second signal, in particular a comb filter, to add a delayed version of this second signal to obtain a third signal representative of the bias, in particular equal to the bias of the signal provided by the sensor, and - subtracting the third signal from the signal provided by the sensor.in order to reduce the bias of this signal provided by the sensor. Abbreviated figure: Fig 3,

Integrated circuit devices and circuitry for digital filtering are provided. An integrated circuit device may include programmable logic circuitry and a digital signal processing (DSP) block embedded in the programmable logic circuitry having a plurality of hardened multipliers and registers and being configurable to implement a transposed finite impulse response (FIR) filter.

The invention discloses a high-gain stable time delay control method for realizing ultra-wideband active vibration isolation, which comprises the following steps of: constructing a dynamic model of an active vibration isolation system, and designing a proportional gain parameter, a time delay gain parameter and a time delay length parameter of a proportional-delay feedback controller; designing the order and cut-off frequency of a finite impulse response low-pass filter; replacing a pure time delay link in the proportional-delay feedback controller with a finite impulse response low-pass filter to obtain a high-gain stable time delay controller; an output signal of the high-gain stable time delay controller is input into an actuator of the active vibration isolation system to generate active control force, and the active control force is applied to an effective load or a vibration-isolated object of the active vibration isolation system, so that ultra-wideband vibration suppression is realized. According to the invention, in the field of vibration control, the low-frequency resonance of the active vibration isolation system can be significantly reduced and the high-frequency roll-off rate can be increased, so that the vibration isolation bandwidth is greatly improved.

The invention relates to the technical field of geophysical exploration, and discloses a broadband data transmission and downsampling method, which comprises the following steps: S0, starting up an upper computer and an acquisition station; s1, the upper computer is connected with the acquisition station; s2, starting to collect an instruction; s3, the ARM of the acquisition station configures parameters of an FPGA according to the instruction, and the FPGA establishes a five-channel cache region and three DMA transmission cache regions on a DDR memory; s4, collection is started, the FPGA receives the processed digital signals, five channels are processed in parallel to collect data, and corresponding cascade channels are selected to reduce the signal sampling rate if down-sampling is needed through at most eight cascade FIR (Finite Impulse Response) filters; s5, the FPGA uploads the data to the ARM, and the ARM carries out dynamic buffer management in real time; and S6, the ARM writes the SSD or uploads the SSD to the upper computer. According to the invention, the sampling rate range is expanded to 305Hz-2.5 MHz and the frequency band range is 1Hz-1MHz through the down-sampling technology and the FIR filters which are cascaded at most at eight levels and the IP soft core which is deeply integrated, and stable and high-speed transmission of data transmission speed is realized.

An electronic device for digital to analog conversion is proposed. Such device implements a finite impulse response filter and includes: a delay line taking as an input a digital input stream and implementing a number of successive delay cells, each delay cell outputting a corresponding delayed version of the digital input stream to be processed by a corresponding coefficient of the filter; for at least one coefficient of the finite impulse response filter, a number of positive current sources, contributing to a positive current component of a differential analog output of the device and negative current sources, contributing to a negative current component of the differential analog output. The current component contribution of the positive and negative current sources are reconfigurable between predetermined values for allowing the value of the coefficient to be reconfigurable.