55 results about "Filter window" patented technology

The embodiment of the application provides an interferometric phase denoising method and device, relates to data processing technology, and the interferometric phase denoising method comprises the following steps: performing multi-scale frequency decomposition on an original interferometric phase map based on a preset frequency domain filtering window to obtain hierarchical phase signals containing different frequency components; calculating residual components of adjacent levels according to the difference between principal component signals of adjacent levels to obtain residual domain signals corresponding to each level respectively; performing denoising processing on the residual domain signals by using a pre-trained denoising model to obtain denoised residual domain signals corresponding to each level respectively; and performing phase reconstruction on the denoised residual domain signals corresponding to each level respectively to obtain a target interferometric phase map.The application can effectively maintain the authenticity and integrity of the phase structure while suppressing noise, effectively reduce the generation of artifacts and improve the convergence stability, and ensure the reliability of phase unwrapping and subsequent deformation inversion.

This invention belongs to the field of nasal alar pulse wave signal processing technology, and provides a method, apparatus, medium, and wearable device for nasal alar pulse wave signal processing. The method includes: extracting the respiratory cycle based on the respiratory signal; determining the length of the mean sliding filter window to filter out the DC component of the original nasal alar pulse wave signal, obtaining a filtered nasal alar pulse wave signal; extracting the amplitude of the AC component of the filtered nasal alar pulse wave signal; adjusting the current of the light source element corresponding to the pulse wave signal sensing element to make the amplitude of the AC component of the filtered nasal alar pulse wave signal greater than or equal to a preset amplitude threshold; further filtering the nasal alar pulse wave signal using an adaptive weighted moving average filtering algorithm; and determining whether a nasal alar pulse wave signal meeting preset quality requirements is obtained based on a comparison between the noise figure of the further filtered nasal alar pulse wave signal and a preset noise figure threshold.

The invention provides a depth map processing method and system and a three-dimensional image reconstruction method. The depth map processing method comprises the following steps: traversing each pixel point of a depth map, and initializing a mask; respectively setting filtering window radiuses in the row direction and the column direction based on the resolution of the depth map; adopting expansion convolution to determine sampling points of a filtering window; judging the effectiveness of each sampling point in the filtering window, gradually reducing the calculation range of the adjacent points, determining pixel points corresponding to the pseudo edge point set according to the judgment of the adjacent points, and resetting the mask; and in combination with morphological operation, the depth map is processed, and a final image with accurate three-dimensional data is obtained. According to the error information of the depth map data output by the structured light camera and the line spectrum confocal sensor, the depth map processing method is provided, so that the three-dimensional surface reconstructed by the output final image can output accurate three-dimensional data.

The invention provides a trailing point cloud filtering processing method, device and equipment and a readable storage medium. The method comprises the following steps: acquiring a laser point cloud generated in the working process of a rotating mirror type laser radar; edge area detection of two detection objects is carried out on the laser point cloud through a sliding filtering window, and whether a trailing point cloud exists in the sliding filtering window is judged; if the trailing point cloud exists, segmenting the trailing point cloud based on a distance threshold, and generating a to-be-processed trailing point cloud with a close-shot target distance and a long-shot target distance; whether the to-be-processed trailing point cloud is directly deleted or not is judged, if yes, the to-be-processed trailing point cloud is directly deleted, and if not, restored filtering processing is carried out on the to-be-processed trailing point cloud, and then the filtered point cloud is output. According to the method, the object contour edge is extracted by sliding the filtering window, the recognition accuracy and processing efficiency of the trailing point cloud are improved, the point cloud information of the object edge is reserved by restoring the trailing point cloud, and the point cloud quality is improved.

The application relates to the technical field of InSAR, in particular to a landslide disaster deformation monitoring method, system and equipment based on InSAR. The method comprises the following steps: collecting SAR images of a target area in real time, taking the first collected SAR image and any one of the remaining SAR images except the first one as master and slave images respectively, and generating multiple interference fringe images; analyzing interference phase values in the interference fringe images to adjust the window size when filtering the interference fringe images; and the filtering result is used for subsequent acquisition of a landslide disaster deformation monitoring result of the target area. The application aims to effectively avoid the real ground deformation information of landslide disaster deformation in the target area from being excessively smoothed by adaptively adjusting the filtering window size, and improve the reliability of the landslide disaster deformation monitoring result of the target area.

This invention relates to a dual-band mid-to-long-wave infrared filter based on a germanium / zinc sulfide asymmetric film system and its fabrication method, comprising a front film system, a substrate, and a back film system; both the front and back film systems are composed of alternating layers of germanium and zinc sulfide; the infrared filter exhibits an average transmittance of not less than 91% in the 3800nm-4800nm ​​and 8000nm-10000nm wavelength bands. The dual-band mid-to-long-wave infrared filter of this invention achieves enhanced light energy in both the 3800-4800nm ​​and 8000-10000nm mid-to-long-wave bands, while effectively suppressing light flux in other bands. It solves the technical problems of infrared filter windows in some special infrared spectral detection systems, providing a new solution for infrared applications.

The application belongs to the field of spectrometers, and particularly relates to a solar imaging spectrometer based on a multiple filter setting. Two pieces of filter window glass with ultraviolet cutoff and bandpass filtering functions are sequentially arranged at the front end of the solar imaging spectrometer, and a narrow-band filter is arranged at the focal point of a spectral imaging light path, so that the imaging spectral bandwidth of a solar Halpha spectrum is accurately controlled within a range of 1 nm through three-stage filtering. The application solves the problems of high requirement of a single filter film system, difficulty in heat control and poor stray light suppression, and realizes super-narrow-band spectral observation with accurate central wavelength and high imaging quality.

The invention relates to the field of infrared thermal imaging, in particular to a scene filtering enhancement method based on thermal imaging under the sky background. The method comprises the following steps of: dividing an image into a plurality of sub-blocks, calculating the gradient of the sub-blocks, mapping a gradient direction to eight intervals through an arctan2 function, counting pixels mapped to each interval to obtain a direction coefficient, and judging the type of the sub-blocks according to the direction coefficient; and selecting a filtering window for the noise block according to the size of a direction coefficient to perform weighted filtering, performing contrast self-adaptive enhancement on the detail block in a range of + / -45 degrees in the dominant direction, and finally outputting a processed image. According to the method, noise and details are judged in a blocking mode, dual-control filtering combining a dynamic window and local judgment is adopted for noise blocks, weak details are guaranteed as much as possible, and excessive fuzziness is prevented. And for the detail blocks, directional enhancement and contrast linkage edge protection are performed, noise amplification is prevented, and enhanced details are highlighted.

The invention relates to the technical field of robot control, and discloses an SMA flexible picking manipulator control method based on an attention mechanism and a neural network PID. Through multi-modal state sensing, adaptive filtering, dynamic attention weighting and parameter generation network modeling, the problem that a traditional PID controller cannot adapt to SMA nonlinear dynamic characteristics is solved. The method specifically comprises the steps that SMA state information is collected in real time, and a filtering window is dynamically adjusted to cover a 500ms hysteresis period; the attention mechanism network is used for detecting hysteresis saturation characteristics and compensating preferentially; constructing a parameter generation neural network to dynamically adapt to SMA nonlinear characteristics; designing a hardware amplitude limiting circuit in combination with physical constraints; and a multi-objective loss function and a two-stage optimization strategy are adopted to improve the control performance. According to the method, the position control precision and robustness of the SMA-driven flexible picking manipulator system are remarkably improved, and the method is suitable for the agricultural fields of fruit and vegetable picking, agricultural automatic operation and the like.

The application discloses a kind of insect echo adaptive filtering methods based on micro-motion phase autocorrelation matching, belong to radar technical field, for solving the filtering mode of the main Doppler frequency of existing insect target There is certain limitation, fixed window length is difficult to realize full scene adaptation, low frequency filtering will lead to the technical problems that low-frequency vibration flight insect target cannot be effectively extracted and identified.The method comprises the following steps: modeling the original insect echo signal to obtain the target instantaneous Doppler frequency model;The target echo phase is smoothed based on different sliding window lengths to obtain the micro-motion phase after filtering the main Doppler component;The micro-motion phase after filtering the main Doppler component is calculated for the autocorrelation function under the adaptive window length;Determine the optimal filtering window length corresponding to the current insect phase signal;The slow-time signal echo of the current insect phase signal is compensated to obtain the micro-motion signal of the current insect.

The invention relates to the technical field of InSAR, in particular to a landslide disaster deformation monitoring method, system and equipment based on InSAR, and the method comprises the steps: collecting SAR images of a target area in real time, and generating a plurality of interference fringe patterns by taking a first collected SAR image and any one of the remaining SAR images except the first SAR image as a master image and a slave image; and analyzing an interference phase value in the interference fringe pattern to adjust a window size when the interference fringe pattern is filtered, wherein a filtering result is used for subsequently obtaining a landslide disaster deformation monitoring result of the target area. The objective of the invention is to effectively prevent real surface deformation information of landslide disaster deformation in a target area from being excessively smoothed by adaptively adjusting the size of a filtering window, and improve the reliability of a landslide disaster deformation monitoring result of the target area.

This invention relates to the field of optical communication testing technology and discloses an optical interconnect link testing system and method for computing power clusters. The optical interconnect link testing method for computing power clusters acquires wavelength configuration data, broadband spectral data, and bidirectional polarization state evolution trajectory data of a DWDM system. It then uses a narrowband filter window sequence to separate the independent spectral curves of each wavelength channel, extracts single-wavelength spectral fingerprint vectors and calculates the coupling relationship matrix between channels, calculates bidirectional polarization dynamic characteristics and generates polarization symmetry difference vectors, calculates the cross-correlation coefficients of spectral and polarization characteristics to generate a channel-level coupling degree matrix, analyzes the temporal causal relationship of coupling faults, matches a composite fault mode library to generate fault classification results, and finally outputs a spectral-polarization joint diagnostic report. This achieves accurate identification and root cause diagnosis of spectral degradation and polarization degradation coupling faults in DWDM coherent optical systems.

This disclosure provides a method, system, computing device, and storage medium for extracting wafer nanomorphology. The method involves acquiring a height image of the wafer surface; obtaining the gradient distribution of the wafer surface based on the height image and generating a corresponding initial gradient image; smoothing the initial gradient image using a preset filter to obtain a filtered gradient image; wherein the filter is configured to reduce its filtering window size from a first size to a second size as it moves from the center of a preset effective region of the wafer in the initial gradient image towards the edge; and finally, reconstructing a nanomorphology map of the wafer surface based on the filtered gradient image. The filter of this disclosure effectively suppresses edge truncation effects, ensuring the realism and accuracy of the edge morphology, thereby improving the accuracy of the final reconstructed nanomorphology map.

The present disclosure relates to encoding / decoding a block of samples of a video picture in which a DIMD mode is derived for luma and chroma samples of a sample block to be predicted by filtering samples of at least one template area, said filtering using filtering windows centered at middle line sample positions of the at least one template area filtering samples in at least one shaped template area. An integer number of middle line sample positions of the at least one template area at which the filtering windows are centered, is lower than a total integer number of middle line sample positions of the at least one template area.

The invention discloses a water depth inversion method based on an SDW-LPT multi-temporal fusion remote sensing image, and particularly relates to the field of water depth inversion, radiation correction is carried out on a Sentinel-2 original image to eliminate system errors, a filtering window is adjusted according to registration errors, the filtering weight is optimized in combination with the window size and different wave band characteristics, image preprocessing is completed, and NDWI is calculated; cloud mask and land mask operation is carried out on the preprocessed image based on NDWI, ICESat-2 photon points are projected to a coordinate system consistent with a Sentinel-2 image, isolated noise photons are eliminated through DBSCAN density clustering, underwater topographic photons are extracted, and standardized reference water depth aligned pixel by pixel is obtained through refraction and tide level correction; dividing a training set and a verification set according to the spatial distribution and the water depth range; an SDW-LPT method is adopted to carry out multi-temporal image fusion, and a plurality of models are utilized to carry out water depth inversion.

Implementations of the disclosure provide video processing systems and methods. The video processing method may include receiving, by one or more processors, a video frame of a video for in-loop filtering. For a target pixel of the video frame, the video processing method may further include selecting, by the one or more processors, a bilateral filtering window to perform the in-loop filtering on the target pixel from a group of candidate filtering windows. The group of candidate filtering windows include a plurality of side filtering windows and a full filtering window. The video processing method may also include filtering, by the one or more processors, the target pixel of the video frame using the selected bilateral filtering window.

This utility model discloses a composite filter, including a frame and filter modules. The frame contains horizontal and vertical ribs that divide the interior into multiple grid-like filter windows. Multiple filter modules are arranged correspondingly within these filter windows. This utility model achieves comprehensive adjustment of filter performance by incorporating filter modules with different functional combinations into the grid-like filter windows within the frame. When a specific air handling capacity needs to be enhanced, the number of corresponding filter modules is increased, thus achieving functional customization and modularization.

The application discloses a feature stripping method and device based on multispectral data, equipment and medium, and relates to the field of remote sensing image processing. The method comprises the following steps: collecting a multispectral image of a target area; adopting an adaptive window filtering algorithm to pre-process the multispectral image to obtain a multispectral enhanced image, wherein the adaptive window filtering algorithm is based on noise density, gray variance and gradient amplitude to calculate a window adjustment coefficient; extracting spectral features and texture features from the multispectral enhanced image; fusing the spectral features and the texture features to construct fusion features of each pixel in the multispectral enhanced image; determining the ground object category of each pixel based on the fusion features to strip out a plurality of vectorized layers containing different features; and the application can fuse the three indexes of noise density, gray variance and gradient amplitude to obtain the window adjustment coefficient, realize the dynamic adaptive change of the filtering window size, and provide higher-precision data support for subsequent feature extraction.

The invention provides a steam turbine rotating speed real-time acquisition method and system, and the method comprises the steps: synchronously collecting pulse signals generated by a steam turbine rotor through a Hall effect sensor and an eddy current sensor, and obtaining two paths of original pulse sequences; a first gain is applied to a Hall effect sensor signal, a second gain is applied to an eddy current sensor signal, an independent filtering window is adopted for moving average filtering, and the initial size of the filtering window is dynamically set according to the rated rotating speed of the current working condition stage of the steam turbine; based on the filtered pulse signals, calculating to obtain a first rotating speed value and a second rotating speed value, inputting the first rotating speed value and the second rotating speed value to a pre-trained signal quality evaluation model, and outputting a fusion weight coefficient for representing the consistency of the two paths of signals; and according to the fusion weight coefficient, weighted average calculation is carried out on the first rotating speed value and the second rotating speed value, a final rotating speed value and an equipment health state identifier are output, and data are selectively transmitted to a remote cloud platform in batches for storage, so that the rotating speed measurement precision is improved.

A touch display panel includes an embedded touch liquid crystal display (LCD) module, a polarizer, and a cover plate. The embedded touch LCD module includes a non-filter window. The polarizer is disposed over the embedded touch LCD module and has a non-polarized window, a first vertical projection of the non-polarized window overlaps with a second vertical projection of the non-filter window, and the non-polarized window is filled with an optical clear material. The cover plate overlays the polarizer, and the optical clear material in the non-polarized window contacts the cover plate. The disclosure also provides a method for manufacturing the touch display panel and a display device including the touch display panel.

The application relates to the technical field of circuit breakers, in particular to a semi-solid-state circuit breaker with an intelligent regulation and control function based on a photovoltaic system, which comprises a first acquisition module used for acquiring electrical data to be filtered of the photovoltaic system and a filter window of the electrical data to be filtered by using the semi-solid-state circuit breaker; a second acquisition module used for acquiring filter data of the electrical data to be filtered; and a regulation and control module used for regulating and controlling the photovoltaic system according to the filter data. The application can improve the quality of the filter data by optimizing the filter process of the electrical data of the photovoltaic system collected by the semi-solid-state circuit breaker, so as to guarantee the effect of regulating and controlling the photovoltaic system based on the filter data.

The application relates to the technical field of pipeline size measurement, in particular to a pipeline processing size precision measurement method, system and equipment, which comprises the following steps: acquiring pipeline surface size data of each point on both sides of a pipeline outer surface; fitting the pipeline surface size data of each side of the pipeline outer surface at each time; acquiring a deviation standard coefficient of each side of the pipeline outer surface at each time according to a fitting degree and a distance fluctuation between each pipeline surface size data and a pipeline center; acquiring a pipeline size two-side difference coefficient at each time in combination with a correlation between the pipeline surface size data of both sides of the pipeline outer surface at each time; obtaining an abnormal influence index of pipeline size measurement according to the deviation standard coefficient; further calculating a pipeline outer diameter at each time; adjusting a filter window size during filtering of the pipeline outer diameter according to the abnormal influence index; and acquiring a pipeline outer diameter after filtering. The application can improve the accuracy of pipeline size precision measurement.

The embodiment of the invention discloses a harmonic component suppression method in structural vibration response, relates to the field of mechanical structure vibration signal analysis, and can suppress pseudo-resonance components generated by periodic excitation force in the mechanical structure response so as to improve the reliability of structural modal parameter identification. The method comprises the following steps of: providing a harmonic component suppression method aiming at the characteristic that the vibration response of a mechanical structure containing a rotating part in a working state contains periodic response, namely calculating a vibration response logarithmic spectrum and designing a logarithmic spectrum filter window function, and eliminating or weakening the harmonic component through harmonic frequency filtering of the logarithmic spectrum. The method is particularly suitable for vibration response signal processing and modal parameter identification of the rotating mechanical structure in the working state.

This invention belongs to the field of polarization measurement, and particularly relates to a space solar spectroscopic polarization telescope based on a built-in filter window assembly. It includes a telescope system, a relay system, and a spectrometer imaging system arranged sequentially along the optical path. The telescope system includes a primary mirror, a secondary mirror, and a built-in filter window assembly. The secondary mirror is located in the output optical path of the primary mirror, and the built-in filter window assembly is located in the output optical path of the secondary mirror. The built-in filter window assembly includes at least two filter glasses and a filter glass support. Each filter glass surface is coated with a filter film layer with different transmission bandwidths. This invention solves the weight, mechanical, and thermal control bottlenecks that restrict large-aperture space solar spectroscopic polarization telescopes by eliminating the front filter window and setting the built-in filter window assembly in the optical path, achieving a comprehensive improvement in optical performance, system reliability, and engineering feasibility.

The invention provides an industrial Internet of Things system and method for transmitter online maintenance, the system comprises an industrial Internet of Things management platform, and the industrial Internet of Things management platform is configured to obtain monitoring data of a transmitter and working condition state data of a monitored device within a first preset time period; determining a cross correlation coefficient according to the monitoring data and the working condition state data; identifying an abnormal fluctuation mode corresponding to the monitoring data in response to the fact that the cross correlation coefficient is smaller than a coefficient threshold value; determining the reliability index of the transmitter according to the data characteristics of the monitoring data; in response to the fact that the reliability index is smaller than a first reliability threshold value, filtering parameters are generated according to the signal-to-noise ratio and spectrum distribution characteristics of the monitoring data, and the transmitter is controlled to adjust a filtering window and / or cut-off frequency based on the filtering parameters; and in response to the fact that the reliability index is smaller than or equal to a second reliability threshold, controlling the monitored equipment to stop, triggering an alarm and generating a manual maintenance work order.

The invention discloses a video-level lensless spectral imaging system based on a color mask and a method thereof. The system comprises a filtering window module, a dynamic adjustable spatial spectrum modulation module, a color acquisition module, a sliding window module and a fusion reconstruction module, and the filtering window module, the dynamic adjustable spatial spectrum modulation module and the color acquisition module are sequentially arranged. The fusion reconstruction module is respectively connected with the dynamic adjustable spatial spectrum modulation module, the color acquisition module and the sliding window module, and the sliding window module is connected with the color acquisition module. According to the invention, through dynamic coding and multi-frame information fusion, the space and spectrum quality of a reconstructed image is effectively improved, continuous capture of a hyperspectral video of a dynamic scene is realized, and the system has the remarkable advantages of compact structure, flexible regulation and control and high imaging quality.

The invention relates to the technical field of optical fiber monitoring, in particular to a fluorescence optical fiber temperature monitoring signal processing method, which comprises the following steps: acquiring fluorescence signals with different polarization angles, calculating variance to determine an optimal excitation polarization angle, acquiring signals based on the angle, and performing spectral analysis to identify a noise frequency band; adjusting a filtering window and performing signal convolution to obtain an enhanced sequence, segmenting the sequence and iteratively fitting a double-exponential attenuation parameter, synthesizing a fluorescence lifetime value, and selecting a local calibration function to calculate a temperature value according to an interval where the fluorescence lifetime value is located. According to the method, the signal acquisition quality is improved through polarization angle optimization, filtering is dynamically adjusted according to the noise spectrum, the double-index model parameters are stably extracted by adopting a piecewise iteration method, and the local calibration function is adaptively selected based on the life value, so that the measurement accuracy and robustness of the system in the noise environment are enhanced.

The invention provides an adaptive filtering method based on a signal-to-noise ratio and a mean filter. According to the method, a smooth window is dynamically adjusted through an SNR (Signal to Noise Ratio) quantitative index. And in a near-field region with strong signals, the SNR is high, a small window is automatically adopted for filtering, and signal details are reserved preferentially, so that fine structures such as a cloud layer and a boundary layer top are reserved to the greatest extent. And in a far-field area with weak signals, the SNR is low, a large window is automatically adopted, the filtering task is preferential, noise is strongly suppressed, and the availability of far-field data is improved. According to the method, the size of the filter window can be adaptively adjusted through the signal-to-noise ratio of the laser radar echo signal, the high operation speed is kept, few operation resources are occupied, high costs such as manpower and equipment do not need to be additionally paid, and the method is very suitable for real-time online inversion of the atmospheric laser radar.

This invention discloses a channel gain correction method and system for a multi-channel detector, relating to the field of nuclear radiation detection technology. The method includes: acquiring raw event data using a multi-channel detector; determining the energy of all channels triggered by the same event based on the action time; calculating the total energy value for each event using the energy of its respective channels, statistically analyzing all events to construct the total energy spectrum of the channel events, and setting an energy filtering window based on the position of the photoelectric peak in the total energy spectrum, retaining events within the energy filtering window as the valid event set; using an iterative algorithm to correct the channel gain coefficients, and monitoring the energy resolution in real time until convergence; applying the finally obtained gain coefficients to perform channel-level gain compensation on all raw event data, and outputting and displaying the corrected energy spectrum and gain distribution map. Gain correction can significantly improve the energy resolution and position resolution of the detector, enhancing the system's imaging quality and quantitative accuracy.

The application discloses a controllable recursive global bilateral filtering method, and belongs to the technical field of image processing, which comprises the following steps: dividing a guide image into a tree structure; determining the connection relationship of each node, and calculating the similarity weight of adjacent nodes based on the mapped color distance and spatial distance; setting a local one-dimensional filtering window according to the image information transmission direction, and implementing boundary preservation filtering; multiplying the filtering output and the similarity weight, and taking the product as the image information transmitted by the current node along the tree structure; traversing all nodes to make them obtain the weighted sum of color values of all nodes of the whole tree; setting all node color values as 1.0, and repeating the above process to obtain a normalization coefficient; dividing the weighted sum of color values by the normalization coefficient to obtain a normalized filtering result of filtering along a single tree structure; if multiple tree structures are contained, then fusing the results of the tree structures to obtain the output of the final image filtering, so that the discrete noise is filtered out while the detail structure is kept by using local information.