35 results about "Phase filter" patented technology

The invention belongs to the technical field of electronic search, and relates to a radio reconnaissance method and system based on multichannel parallel processing and intelligent clustering, and the method comprises the steps: carrying out the multi-phase filtering digital channelization processing of a broadband radio signal, so as to obtain adjacent channel sequences with overlapped frequency bands; performing square law detection and constant false alarm detection on each channel sequence to generate an initial pulse description word; establishing a candidate corresponding relationship in adjacent channels based on arrival time similarity and noise consistency, and determining a cross-channel merging relationship according to frequency range continuity and frequency-time relationship slope consistency to generate a complete pulse description word; performing hierarchical clustering sorting based on the arrival angle and the pulse width; and performing multi-stage differential analysis on a clustering result to extract a repetition frequency sequence and determine a repetition frequency type. According to the technical scheme, the stability and consistency of cross-channel pulse merging and sorting results can be kept under the broadband high-density condition, and the radio search processing precision under the complex electromagnetic environment is improved.

The invention discloses a broadband low-power-consumption receiving and transmitting shared phase shifter which comprises a differential signal common port, a frequency sampling and control circuit, a dual-mode orthogonal generation circuit and a passive vector modulation synthesis circuit. The differential signal common port comprises a common input / output port interface of RF + and RF-differential radio frequency signals; the frequency sampling and control circuit is composed of a frequency sampling circuit, a frequency detection circuit and a logic control unit. The dual-mode orthogonal generation circuit is composed of a frequency selection change-over switch, a multi-phase filter, a coupling transformer, a matching network 1 and a matching network 2. The passive vector modulation synthesis circuit is composed of two passive vector modulation arrays and two combining / power dividing circuits.

The invention discloses a power line communication signal sending and receiving method and device based on a semi-parallel architecture, and belongs to the technical field of power system communication. The method comprises the following steps: obtaining a sending signal comprising a plurality of sub-signals, dynamically determining the number R of parallel processing units according to a transmission data rate and a clock frequency, phase adjustment, frequency domain transformation, linear combination and filtering processing are carried out through R parallel processing units in the DCT module, the matrix module and the multi-phase filter module in sequence, and finally processed signals are serialized and sent to a power line channel; and the receiving process reversely executes corresponding processing. Therefore, by implementing the method and the device, the problem that the transmission rate and the communication stability of the system are difficult to effectively improve while low resource consumption and low power consumption are ensured in the prior art can be solved.

This invention relates to the field of power edge computing technology, specifically to a data filtering and transmission method and system based on an edge gateway. The method includes the following steps: generating an original power quantity sequence; constructing a dynamic phase filtering matrix; performing projection comparison on the mapping matrix to accurately separate and extract intrinsic feature components; calculating degradation trend values ​​and determining dynamic transmission priorities; and performing communication scheduling and distribution on the feature components, with high-priority components sent immediately and low-priority components merged after delay. In this invention, by performing multi-dimensional projection comparison on high-frequency sampling points, components reflecting the actual operating status of power distribution equipment are accurately extracted, false mutations are eliminated, and real faults are retained. Transmission priorities are calculated by combining channel congestion and degradation trend values. Status information is classified and graded for scheduling, transmission, and merging, completely eliminating the omission of critical early warning information, reducing the occupation of limited network bandwidth resources by redundant and invalid messages, and ensuring long-term stable operation of cross-level communication.

A quantitative phase contrast imaging system comprises a light source configured to generate light and to direct the light to a sample, wherein the light comprises nonlinearly polarized light; a first lens configured to receive light from the sample; a phase filter, wherein the first lens is configured to focus the light from the sample onto the phase filter, and the phase filter is configured to modulate multiple components of the nonlinearly polarized light simultaneously (e.g., geometric phase interferometry); a second lens configured to receive light from the phase filter; and a polarized camera, wherein the second lens is configured to collimate the light beam from the phase filter to the polarized camera and the polarized camera is configured to image the sample in response to the light from the phase filter. In absence of the second lens, the camera can be placed at the image plane.

The utility model discloses a three-phase interlaced PFC control system which comprises a three-phase filter circuit, a three-phase rectifier circuit, a three-phase interlaced power factor correction circuit, a three-phase AC input current detection circuit and a microcontroller. The input end of the three-interlaced power factor correction circuit is connected with the output end of the three-phase rectification circuit, and the output end is connected with a load; the input end of the three-phase AC input current detection circuit is connected with the three-phase power, and the output end of the three-phase AC input current detection circuit is connected with the microcontroller; the microcontroller collects an output end signal of the three-phase rectification circuit, an output end signal of the three-interlaced power factor correction circuit and an output end signal of the three-phase AC input current detection circuit, and drives the three-interlaced power factor correction circuit. According to the utility model, the problems of overhigh instantaneous voltage and current stress of a single-path PFC are solved, and the unbalance degree of three-phase current is obtained by adding the three-phase AC input current detection circuit, so that the driving mode of the three-path PFC unit circuit is adjusted, and the safety and stability of the system are ensured.

The utility model belongs to the technical field of mobile phase filtering devices, and particularly relates to a novel multifunctional mobile phase filtering device which comprises a mounting frame, a first supporting plate fixedly connected to the end of the mounting frame, a connecting pipe fixedly connected to the bottom of a tank body, and a fixing column fixedly connected to the inner side wall of a first mounting groove. A second mounting groove is formed in the bottom of the connecting pipe, a sealing ring is mounted in the second mounting groove, a filter pipe is movably connected to the interior of the second mounting groove, a limiting convex ring is arranged at the end of the filter pipe, a limiting ring is fixedly connected to the inner side wall of the connecting pipe, and a supporting ring is fixedly connected to the inner side wall of the filter pipe; the top of the supporting ring is movably connected with a filter membrane base, and the bottom of the limiting ring is attached to the top of the filter membrane base. According to the utility model, the limiting frame and the limiting convex ring are arranged, so that the filter pipe and the filter membrane are convenient to replace; and the intermittent rotating assembly is arranged, so that the device has multiple functions.

The application belongs to the technical field of radio frequency communication, and discloses a novel wideband linear phase filter and a design method thereof. The novel wideband linear phase filter comprises a first port, a second port, and three first transmission lines connected in series between the first port and the second port. Four connection points are formed between the first port and the adjacent first transmission line, between the three first transmission lines, and between the second port and the adjacent first transmission line. Four short-circuit branch lines are connected at the four connection points one by one. An inductance circuit module is connected at one end of the connection point between the first port and the adjacent first transmission line, and connected at the other end of the connection point between the second port and the adjacent first transmission line.

The invention discloses a sampling rate conversion device and method and an audio playing system, in the sampling rate conversion device, a control unit determines a target filter order and a target step value based on an input sampling rate and an output sampling rate; a filter coefficient generation unit determines a target filter coefficient and a historical filter coefficient based on a multi-phase filter basic coefficient table according to sampling point address information of a target input sampling point, a target filter order and a target step value; and the multi-phase filter convolution unit performs convolution operation on the target input sample point, the target filter coefficient, the historical sample point and the historical filter coefficient based on the target filter order to obtain a target output sample point. As the order of the target filter is dynamically generated according to the input sampling rate and the output sampling rate, the filtering coefficients can be determined based on the same polyphase filter basic coefficient table for different sampling rate conversion specifications, the storage space is saved, repeated switching of the coefficient table is not needed, the conversion steps are simplified, and the conversion efficiency is improved.

The invention discloses an InSAR (Interferometric Synthetic Aperture Radar) phase filtering method, device and system and a storage medium. The InSAR phase filtering method comprises the following steps: S1, acquiring an InSAR simulated data set; s2, according to the data set simulated by the InSAR, constructing a multi-scale convolutional neural network model based on physical constraints; and S3, inputting real SAR data into the multi-scale convolutional neural network model to carry out InSAR phase filtering. By adopting the technical scheme of the invention, effective noise suppression, detail maintenance and result stability are realized.

The application discloses a low-resource-overhead super-high-speed modulation and demodulation method. In view of the signal processing demand faced by high-frequency bands and large bandwidths in millimeter wave and terahertz communication, the application adopts a parallel architecture to meet the high-speed signal processing demand and correct non-ideal characteristics of a channel; and adopts a fusion processing method to fuse interpolation, anti-aliasing, timing interpolation, matched filtering, time domain equalization and decimation into a multi-phase filter, so that the signal overhead caused by high-speed demodulation is greatly reduced. The application can be applied to a millimeter wave / terahertz super-high-speed transmission system, and provides low-complexity super-high-speed modulation and demodulation to meet the performance and resource demand of super-high-speed transmission.

The invention discloses a self-diagnosis method, system and device for the protection state of energy storage variable flow test equipment and a storage medium. The self-diagnosis method comprises the steps that a controlled perturbation excitation signal is injected into the input end of a protection link of the energy storage variable flow test equipment; performing synchronous sampling on response signals of all levels of function units in the protection link, performing baseline correction on the sampled signals, and performing in-phase filtering processing on the sampled signals to obtain preprocessed response signals; extracting a protection time sequence response fingerprint parameter corresponding to each level of function unit; performing energy calculation on the pre-processing response signal of each level of function unit to obtain an energy characteristic parameter of the protection link; constructing a protection link structure invariant parameter based on the protection time sequence response fingerprint parameter and the energy characteristic parameter; and performing consistency calculation on the structure invariant parameter and a pre-established structure baseline parameter to obtain a structure deviation parameter, and generating a protection state diagnosis result and corresponding link section identification information.

The application discloses a high-arch dam modal parameter identification method under non-stationary working conditions. The method first arranges sensors on the high-arch dam to collect multi-channel vibration data, and removes non-stationary components in the signals based on a simple empirical Fourier decomposition method. Then, a parameter self-adaptive optimization multivariate modal decomposition method is used to process the data to obtain multi-channel intrinsic modal components. Finally, the random decrement method and Hilbert transform are combined for modal parameter identification, and the working modal parameters are output. The method effectively separates the non-stationary components by using the frequency cutoff strategy and the zero-phase filter, and realizes efficient and accurate decomposition of the multi-channel signals by using the correlation variance contribution rate fusion and the adaptive optimization algorithm. The method overcomes the shortcomings of the traditional method, such as insufficient interference processing of multi-channel data and lack of consideration of signal non-stationarity, and can more comprehensively and accurately identify the modal parameters of the high-arch dam, thereby providing reliable data support for the safety monitoring and stable operation of the high-arch dam.

The application discloses a distributed InSAR system atmospheric phase correction and deformation extraction method, belongs to the field of satellite image processing, and is characterized in that the method comprises the following steps: acquiring multi-satellite near-synchronous observation data of a distributed InSAR system to perform image registration; performing conjugate multiplication on the registered images to obtain interference phases; performing difference on the two interference phases to perform atmospheric phase correction; performing phase filtering processing on the interference phases after the atmospheric phase correction; performing phase unwrapping on the interference phases after the filtering processing; and performing geocoding processing to complete deformation extraction. Through near-synchronous imaging of multiple platforms on the same region, the generation path of time dimension interference is cut off from the physical layer, the influence of short-term atmospheric fluctuation on the phase is greatly weakened, noise and ambiguity in the phase unwrapping process are further removed in combination with the redundancy of multi-view observation of the distributed system, and high-precision extraction of the surface deformation field is realized.

The application provides a power line identification method, system, device and storage medium, and belongs to the technical field of power system detection. The method comprises the following steps: acquiring a to-be-detected image containing a power line; constructing a phase filter stretching kernel function based on a phase shift kernel function and a convolution theorem; inputting the to-be-detected image into the phase filter stretching kernel function, using the phase filter stretching kernel function to perform stretching transformation on the to-be-detected image, converting the to-be-detected image in the frequency domain into an angle image in the spatial domain, and extracting a contour edge in the angle image; superimposing the to-be-detected image and the angle image containing the contour edge to obtain a superimposed image, using relative total variation (RTV) to perform sharpening enhancement processing on the superimposed image, and identifying the power line. The application can improve the identification accuracy of the power line.

This invention belongs to the field of signal processing technology and provides a segmented aperture imaging and positioning method for multi-rotor UAV-borne synthetic aperture radar. The method includes: 1) acquiring target echoes from the UAV-borne synthetic aperture radar system; 2) estimating the motion state of the maneuvering platform based on the echo signals; 3) segmenting the echo signals according to the platform motion state; 4) performing motion compensation on each segment of the echo signals according to the platform motion state; 5) performing a two-dimensional Fourier transform on each compensated echo signal to obtain a two-dimensional spectrum, and using a series inversion method to decompose the two-dimensional spectrum to obtain phase filters for each segment; 6) multiplying each segment's two-dimensional spectrum by the corresponding phase filter, and then performing a two-dimensional inverse Fourier transform on the two-dimensional spectrum to obtain images of each segment; 7) performing geometric correction on each segment's images, and then stitching the images together to obtain a full-aperture imaging result; 8) stitching together the platform trajectories of each segment to obtain the complete platform trajectory coordinates.

The invention discloses an electronic speckle interference real-time phase unwrapping method based on deep learning, and belongs to the technical field of optical detection and image processing, and the method comprises the steps: generating an absolute phase label, obtaining an original speckle pattern, a noise-containing wrapped phase image, a noise-free wrapped phase label and a wrapped counting label, and constructing a training data set; constructing a dual-task coupling network model by taking a shared encoder, a phase reconstruction decoder, a phase filtering decoder and symmetric branches as an integral framework based on a convolutional neural network; constructing a composite loss function based on phase reconstruction loss, wrapped phase filtering loss and wrapped counting segmentation loss; based on the composite loss function, training the dual-task coupling network model; and performing phase unwrapping on a to-be-processed original wrapped phase diagram based on the trained dual-task coupling network model to obtain an absolute phase diagram after phase unwrapping. According to the method, the phase unwrapping efficiency and precision are remarkably improved.

This invention relates to the field of digital signal processing technology and discloses a low-complexity, high-precision delay method based on polyphase filter interpolation, comprising: S1 designing a prototype low-pass filter; S2 performing polyphase decomposition on the interpolated filter, decomposing it into I-phase; S3 decomposing the fractional delay requirement of the input signal, with the integer part implemented through sampling period delay and the fractional part implemented through a fractional delay filter; S4 storing the coefficients of the I-phase filter as a coefficient array, and determining the delay interval of the virtual branch according to the input fractional delay parameters; S5 using polynomial interpolation to fit the filter coefficients of the virtual branch from the coefficient array, configuring them into an FIR filter to form a fractional delay filter; S6 designing the fractional delay filter as a high-speed parallel filter structure, converting serial computation into L-way parallel computation. This invention achieves high-precision variable fractional delay control with a low-complexity, low-computational-load configurable filter structure.

The invention belongs to the technical field of radio frequency communication, and discloses a novel broadband linear phase filter and a design method thereof, and the novel broadband linear phase filter comprises a first port; a second port; the three first transmission lines are connected in series between the first port and the second port; wherein four connection points are formed between the first port and the adjacent first transmission line, among the three first transmission lines, and between the second port and the adjacent first transmission line; the four short-circuit branch lines are connected to the four connection points in a one-to-one correspondence manner; and one end of the inductive circuit module is connected to a connection point between the first port and the adjacent first transmission line, and the other end of the inductive circuit module is connected to a connection point between the second port and the adjacent first transmission line.

The invention relates to an acoustic camera design method and system based on a multi-phase filter, and belongs to the technical field of acoustic measurement and signal processing. The method comprises the following steps: acquiring an acoustic time-domain signal, calculating the delay inequality of the acoustic time-domain signal reaching each microphone, and obtaining a phase compensation coefficient of a multi-phase filter; sub-filtering branches of the multi-phase filter are configured, and delay phase compensation is carried out; calculating a time domain cross-correlation function of the acoustic time domain signal, accumulating cross-correlation values of the time domain cross-correlation function at a corresponding time delay, and placing the obtained values in a designed space matrix to obtain a sound source localization heat map; and positioning the sound source according to the heat map peak value.

The application belongs to the technical field of numerical control, and discloses a double-target learning type thrust fluctuation suppression method for a permanent magnet synchronous linear motor, which comprises the following steps: determining an initial range of iterative learning gain according to a system model and a convergence condition; taking the average of multiple peak values of position tracking error and the standard deviation of speed fluctuation as double targets, and optimizing to obtain an optimal gain matrix; constructing a speed and acceleration feedforward controller to reduce the initial error; collecting the tracking error of the current iteration period, inputting the learning law containing a forgetting factor and a zero-phase filter after data alignment, calculating and storing the compensation signal of the next period; and finally implementing online compensation in the form of current feedforward. The application improves the iterative convergence efficiency through feedforward pre-compensation, suppresses the noise influence through a zero-phase filter, and simultaneously suppresses the position tracking error and speed fluctuation through double-target optimization, thereby significantly improving the dynamic accuracy and running stability of the linear motor feeding system.

Dispersion compensating phase filters, their method of manufacture and use are presented. The phase filters are designed to compensate for chromatic dispersion accumulated by a telecommunication optical signal when travelling in a dispersive line. The phase filter is made by first determining a target dispersion compensating phase profile of a channel of the telecommunication optical signal. This determination involves discretizing the phase profile of the dispersive line into a plurality of frequency sub-bands over a bandwidth of the channel, each frequency sub-band having a width selected on view of compensating the chromatic dispersion. For each frequency sub-band, an average phase value of the phase profile of the dispersive line is computed, and then converted to an equivalent 2Pi-bound phase value, used in building the target dispersion compensating phase profile. A spectral filtering structure embodying the target dispersion compensating profile is manufactured.

The present invention relates to a method for reducing the number of channels in a stereo signal in order to obtain a monaural signal, the method comprising: an application (610, 611) of two (T1 or T2, T3) channel reduction processing operations to the current frame of the signal, wherein one of the two processing operations uses re-phase filtering on at least one channel of the stereo signal, and the other processing operation does not use re-phase filtering; and a selection (612) of one of the processing operations to be applied to the current frame, the selection of which depends on the presence or absence of at least one transition in the stereo signal, or the quality level of filtering of the stereo signal used when performing the processing operation by using filtering of the stereo signal. The present invention also relates to a processing device for reducing channels to implement the method.

The invention discloses a filtering type broadband beam forming network with non-reflection input and reconfigurable output phase difference. The filtering type broadband beam forming network comprises broadband non-reflection filtering power dividers, phase inverters, multi-resonance absorption branches, multi-path multi-phase filtering phase shifters and ports. The broadband non-reflection filtering power divider comprises a five-line coupling structure, an isolation resistor, a first absorption branch knot and a second absorption branch knot. The isolation resistor comprises a first resistor, a second resistor and a third resistor; the first absorption branch knot comprises a first absorption resistor and a first short-circuit line; the second absorption branch knot comprises a second absorption resistor and a second short-circuit line. According to the device, the broadband non-reflection filtering power divider is arranged, and the multi-resonance absorption branch knots are combined, so that broadband filtering response, full-band input non-reflection characteristics and flat output amplitude and phase are obtained; six groups of output phase differences can be obtained by arranging the multi-path multi-phase filtering phase shifters and combining the phase inverters; and the stop-band suppression characteristic of the beam forming network is further optimized by adopting a multi-path multi-phase filtering phase shifter.

The invention belongs to the technical field of drilling fluid separation, and particularly relates to an underground drilling fluid separation device and method. The device is organically composed of a shell, a filtering turbine mechanism, an outer filter screen, an inner filter screen, a discharging mechanism and a communicating pipe. Solid-phase particles are left in the solid-phase filter cavity, and only a liquid phase passes through the filter screen, so that the liquid phase can be well separated under the action of multiple times of the turbine, the liquid phase in the outer filtrate cavity and the liquid phase in the inner filtrate cavity are converged through the communicating pipe and finally conveyed to a drill bit, and the liquid phase almost contains no solid phase, so that the solid phase is well prevented from entering the drill bit, and the drill bit is prevented from being damaged. Therefore, the drill bit is protected, and the service life of the drill bit is prolonged. The solid phase content in the drilling fluid entering the drill bit can be guaranteed, and the problem that in the prior art, the solid phase amount in the separated liquid phase is uncontrollable, and consequently the service life of the drill bit is shortened is solved.

The invention discloses a method for identifying modal parameters of a high arch dam under a non-stationary working condition, which comprises the following steps of: arranging sensors on the high arch dam to acquire multi-channel vibration data, and eliminating non-stationary components in signals based on a simple empirical Fourier decomposition method; processing the data by adopting a parameter adaptive optimization multivariate variational mode decomposition method to obtain a multi-channel intrinsic mode component; and finally, modal parameter identification is carried out by combining a random decrement method and Hilbert transform, and working modal parameters are output. According to the method, a frequency cut-off strategy and a zero-phase filter are adopted to effectively separate non-stationary components, and a correlation variance contribution rate fusion and adaptive optimization algorithm is utilized to realize efficient and accurate decomposition of multi-channel signals, so that the defects of insufficient processing of multi-channel data interference and insufficient consideration of signal non-stationarity in a traditional method are overcome; the modal parameters of the high arch dam can be identified more comprehensively and accurately, and reliable data support is provided for safety monitoring and stable operation of the high arch dam.

The invention particularly relates to a digital multi-phase filter design method based on coefficient expansion, which comprises the following steps: carrying out parallel expansion on an input original signal to form a plurality of parallel branches; designing a sub-filter bank, wherein the sub-filter bank carries out filtering processing on the plurality of parallel branches; and performing parallel combination on the sub-filter bank outputs to obtain a filter output. One path of original data and a corresponding filter coefficient are expanded to 3M branches in parallel through a repeated iteration mode, the sampling rate is reduced to 2M of the original, and the filter coefficient of each path is 2N-M. From another perspective, 3M sub-filters with the coefficient length of 2N-M and the sampling rate of 1 / 2M are used in the method, and filtering processing with the coefficient length of 2N is achieved. And in unit time, the multiplication operation amount required by filtering processing is reduced to (3 / 4) M times of the original multiplication operation amount.

This invention discloses a TCN-based equalizer compensation method and system for in-vehicle audio systems, relating to the field of in-vehicle electronic equipment technology. The method includes: playing a test signal in an in-vehicle environment; acquiring distorted time-domain waveforms affected by the in-vehicle acoustic environment via a microphone and preprocessing them; inputting the processed waveform into a temporal convolutional network to extract multi-scale temporal features; predicting the first half of the coefficients of a linear-phase FIR filter after global average pooling and fully connected layer mapping; symmetrically flipping and splicing these first half coefficients to construct the complete linear-phase FIR filter coefficients, and performing DC gain normalization; finally, performing a one-dimensional convolution operation between the normalized FIR filter coefficients and the original audio signal to output a frequency-response compensated equalized audio signal. This invention achieves adaptive equalization compensation for in-vehicle audio systems, significantly improving sound quality and listening experience while maintaining linear phase characteristics.

This invention discloses a real-time phase unwrapping method for electronic speckle interferometry based on deep learning, belonging to the field of optical detection and image processing technology. The method includes: generating absolute phase labels to obtain the original speckle map, a noisy wrapped phase image, a noise-free wrapped phase label, and a wrapped count label; constructing a training dataset; building a dual-task coupled network model based on a convolutional neural network, using a shared encoder, a phase reconstruction decoder, a phase filtering decoder, and a symmetric branch as the overall framework; constructing a composite loss function based on phase reconstruction loss, wrapped phase filtering loss, and wrapped count segmentation loss; training the dual-task coupled network model based on the composite loss function; and performing phase unwrapping on the original wrapped phase map to be processed based on the trained dual-task coupled network model to obtain the phase-unwrapped absolute phase map. This invention significantly improves the efficiency and accuracy of phase unwrapping.

This invention discloses an InSAR phase filtering method based on complex interferograms, comprising: preprocessing acquired primary and secondary SAR images to obtain complex InSAR interferograms; dividing the complex InSAR interferograms into square-shaped interferogram patches along the azimuth and range directions; converting each interferogram patch from the spatial domain to the frequency domain signal, constructing a corresponding spectral amplitude map; using K-means clustering to extract an initial low-pass filter from the spectral amplitude map, and constructing a phase filter together with a Kaiser window function; passing the frequency domain signal of the interferogram patch through the phase filter, where the signal frequency power is preserved, noise at high-frequency positions is filtered out, and noise at low frequencies is smoothed out, resulting in a filtered frequency domain signal; converting the filtered frequency domain signal back to the spatial domain to obtain filtered interferogram patches, which are then stitched together to obtain a filtered InSAR interferogram. This invention contributes to the promotion and advancement of current time-series InSAR interferometry technology and its engineering applications.