98 results about "Temporal filtering" patented technology

The invention discloses a two-degree-of-freedom helicopter optimal tracking controller design method based on disturbance observation, and relates to the technical field of two-degree-of-freedom helicopter control, and the method comprises the steps: considering the internal uncertainty and external disturbance of a system, and constructing a two-degree-of-freedom helicopter system equation; a pre-defined time nonlinear disturbance observer is introduced to estimate disturbance, coordinate transformation is constructed based on a dynamic surface control technology, a pre-defined time filter is introduced, a two-degree-of-freedom helicopter system model is decomposed into two stages of subsystems, and an optimal performance function is constructed for each subsystem. And designing an optimal virtual controller and a predefined time trajectory tracking controller. The controller designed by the invention can ensure that all signals of the whole two-degree-of-freedom helicopter are bounded within the preset time, can effectively improve the transient performance and the steady-state performance of the two-degree-of-freedom helicopter, and can ensure that the two-degree-of-freedom helicopter can still quickly and accurately track a reference trajectory within the preset time after being disturbed.

In various examples, the present disclosure relates to using temporal filters for automated real-time classification. The technology described herein improves the performance of a multiclass classifier that may be used to classify a temporal sequence of input signals—such as input signals representative of video frames. A performance improvement may be achieved, at least in part, by applying a temporal filter to an output of the multiclass classifier. For example, the temporal filter may leverage classifications associated with preceding input signals to improve the final classification given to a subsequent signal. In some embodiments, the temporal filter may also use data from a confusion matrix to correct for the probable occurrence of certain types of classification errors. The temporal filter may be a linear filter, a nonlinear filter, an adaptive filter, and / or a statistical filter.

The invention provides an infrared image flicker processing method, system and device and a medium. The method comprises the steps of generating a blocking piece mean value based on blocking piece image data of continuous N frames obtained during single-point correction; processing the histograms of the two-time single-point correction gap images according to the separation blade mean value to generate a statistical histogram of the images; performing first filtering processing on the statistical histogram to generate a first filtering result of the histogram; after the first filtering result is calculated in an accumulated mode, a gray mapping table is calculated, second filtering processing is carried out, and a second filtering result of the gray mapping table is generated; and performing time domain filtering processing on the second filtering result to realize flicker processing of the infrared image. According to the infrared image flicker processing method, the flicker phenomenon of the infrared image can be effectively reduced, and the stability and the visual effect of the image are improved.

A continuous-time analog-to-digital converter circuit includes an input configured to receive an analog input signal; a delay element with a specified time delay, the delay element functionally connected between the input and a first summation node; a ADC-DAC path with a sub ADC and a sub DAC connected between the input and the first summation node. The ADC-DAC path is configured to digitize the analog input signal and to reconvert the digitized signal to analog domain and to subtract it at the first summation node. An output of the first summation node is filtered by means of a continuous-time filter and an output of the continuous-time filter is clocked by a specified sampling rate. A backend ADC is configured to digitize the clocked output of the analog filter and to connect the clocked output to a second summation node. An output is obtained by a summation of the output of the backend ADC and an output of a digital filter is connected to the sub ADC. The digital filter is configured to represent a replica of a transfer function of the sampled output of the continuous-time filter in the digital domain.

Methods and apparatus for a lidar system having spatio-temporal filtering to reduce false alarms in image data. In embodiments, the probability of a lidar return being real and not a false alarm is calculated based on both the current and historical presence of other returns which are spatially adjacent to the return being calculated. The probability is used to filter false alarms through thresholding.

Systems and methods herein are for a video encoder to be associated with a temporal filter and a coding tree and that can perform a main pass for video encoding using individual video blocks towards prediction of at least one frame associated with the media stream, where the coding tree is associated with a lookahead pass, and where the temporal filter can enable denoising within the lookahead pass to reduce an effect of noise in one or more of motion estimation or mode selection of the video encoding.

A system for generating foveated imagery is configurable to: (i) access an image; (ii) identify an ROI of the image; (iii) generate a downsampled image by performing downsampling on the image; (iv) generate a transformed downsampled image by performing one or more image processing operations on the downsampled image; (v) generate a transformed image by performing upsampling on the transformed downsampled image; and (vi) generate a foveated image by using the ROI of the image to define a corresponding ROI of the transformed image.

The present invention discloses a method for denoising noisy images and enhancing dynamic targets based on joint spatial-temporal filtering, comprising: performing downsampling differential pyramid filtering on each frame of an image to decompose the image information in different frequency bands; analyzing high-frequency noise characteristics to obtain a spatial domain filtering convolution template that suppresses maximum values; performing spatial domain convolution on each layer of the image using the spatial domain filtering convolution template that suppresses maximum values ​​to calculate motion normalization parameters; and performing motion compensation denoising in the time domain by combining the DOP image of the current frame with the result of motion compensation of the previous frame. The present invention can effectively remove various types of noise from noisy images in noisy scenes while balancing computational speed and algorithm stability, and retain dynamic targets as much as possible, making the scene clear and enhancing the details of the targets.

In various embodiments, when reference picture resampling is applied to achieve better coding efficiency, methods and devices adapt temporal filtering of a noise-reduced input video prior to encoding according to a resolution ratio. According to one embodiment, temporal filtering strength values are fine-tuned at a pre-processing module according to the resolution ratio of the RPR mode. According to another embodiment, temporal filtering is deferred after rescaling when the RPR mode is enabled, and filtering strength values are fine-tuned according to the resolution ratio of the RPR mode. A third embodiment proposes to refine motion estimation in the encoder by setting the block size of motion estimation in temporal filtering according to the resolution ratio of the RPR mode.

Reduce signal bandwidth tilt. [Solution] The optical receiver 100 receives and processes the received optical signal received via the optical transmission path. The optical receiver 100 includes a DSP 105 that outputs information regarding the deviation of the amplitude characteristics of the received signal (intraband tilt), a TOF 101 that filters the received signal, and a control unit 106 that controls the settings of the TOF 101 based on the intraband tilt. For example, the control unit 106 reduces the intraband tilt by variably controlling the center frequency of the TOF.

This disclosure provides video encoding methods, apparatus, electronic devices, storage media, and programs. [Solution] The specific solution includes: obtaining a reference frame adjacent to the current frame and in which a hierarchical partitioning of the initial region of interest (ROI) has been established; reusing motion vectors generated during the motion-compensated time filtering process in the reference frame to determine the predicted ROI position of the current frame; extracting sensory feature points from the current frame and correcting the predicted ROI position based on the feature point spatial topology relationship in the initial ROI; assigning differentiated quantization parameters to the corrected primary face region, secondary face region, and background region, respectively; dynamically allocating the bitrate of the three layer regions based on real-time network bandwidth; and outputting the encoded frame of the current frame and associated ROI hierarchical metadata.

For a subjectively pleasant representation of a medical image sequence without loss of structures, a method is provided for processing an x-th image of a medical image sequence from at least two consecutive images, in particular X-ray images, of an imaging unit, comprising the following steps: capturing the x-th image of the image sequence from at least two consecutive images, performing a variance-stabilizing transformation of the x-th image, performing spatial denoising of the variance-stabilized x-th image, subtracting the denoised variance-stabilized x-th image from the variance-stabilized x-th image and thereby obtaining an x-th noise component of the x-th image, performing inverse variance stabilization of the denoised variance-stabilized x-th image and thereby obtaining a denoised x-th signal component of the x-th image,Performing a temporal filtering of the x-th noise component and thereby obtaining a temporally filtered x-th noise component of the x-th image, adding the temporally filtered x-th noise component with the denoised x-th signal component of the x-th image to an x-th result image, and displaying the x-th result image.

Methods, apparatus and computer-readable medium are disclosed for management of cross-link interference (CLI). In an embodiment, there is provided a method performed at a terminal device. The method comprises receiving, from a base station, a message about a CLI measurement configuration and a CLI report configuration for subband non-overlapping full duplex (SBFD) operation mode. The CLI measurement configuration indicates a measurement window duration, and the CLI report configuration indicates how to report first information about at least part of slots of the measurement window duration and second information about values of measured CLI in the at least part of the slots of the measurement window duration. The method further comprises performing a first CLI measurement per slot within the measurement window duration without time-filtering of values of measured CLI. The method further comprises reporting a result of the first CLI measurements per slot to the base station based on the CLI report configuration.

The present invention relates to the technical field of power line carrier communication, and discloses a power line carrier signal channel estimation filtering method and device. The method includes: obtaining a power delay spectrum corresponding to a power line channel estimation result; determining a power threshold based on the magnitudes of multiple powers; sequentially comparing the power threshold with multiple powers in chronological order to determine a filtering window start time and a filtering window descent time; obtaining a filtering window end time based on the time difference between the filtering window start time and the filtering window descent time; wherein, the window function coefficients between the filtering window descent time and the filtering window end time vary with time; determining a target filtering window function based on the filtering window start time, the filtering window descent time, and the filtering window end time; and filtering the power line channel estimation result according to the target filtering window function to obtain a filtered power line channel estimation result. The above solution can improve the accuracy of channel estimation.

The present invention discloses an ultra-wideband radar vital sign signal denoising algorithm based on PE and TVF-EMD, belonging to the technical field of radar life detection. This method first preprocesses clutter and noise signals in the original radar echo signal by means of methods such as channel signal subtraction, subtraction averaging, linear trend suppression, automatic control gain, fast-time filtering, and slow-time filtering; then, by analyzing statistical features such as kurtosis, standard deviation, and variance of data in the slow-time direction, the PE algorithm is used to detect the position of the human target. This optimized algorithm can conveniently and accurately locate the moment when the signal mutates and can amplify the subtle changes in the signal. The TVF-EMD algorithm is used to decompose the extracted vital sign signal, calculate the respective energy ratios of each IMF component after decomposition within the respiration frequency band and the heartbeat frequency band, select appropriate signals for reconstruction, and finally perform spectral analysis on the reconstructed signal using FFT transformation. Using the radar vital sign denoising method proposed by the present invention, the target can be accurately located and vital information can be extracted, and the denoising result is very impressive.

The application relates to a time filtering method, device, computer equipment, chip and medium, which comprises the following steps: acquiring a to-be-filtered signal corresponding to a current filtering number; determining target reference data corresponding to the current filtering number according to the current filtering number; determining a time filtering coefficient corresponding to the current filtering number according to the target reference data; and performing filtering processing on the to-be-filtered signal corresponding to the current filtering number according to the time filtering coefficient. The application can improve the filtering effect.

A system and method for identifying container numbers on front-mounted cranes are disclosed, relating to the field of container number identification on front-mounted cranes. To address the shortcomings of existing methods, such as inability to adapt to rainy or snowy weather and low-light conditions, poor container number identification performance, and poor anti-interference capabilities, this invention acquires video or images of containers on front-mounted cranes; extracts continuous frames from the video at a fixed frequency and performs grayscale processing on each frame to reduce computational complexity; applies temporal filtering to the preprocessed video / image; applies spatial filtering to the filtered video / image to remove isolated noise points; reduces high-frequency noise and smooths the image through weighted averaging; enhances image contrast by adjusting the grayscale distribution of the image, making the container number area clearer; and performs container number area detection and character recognition on the processed image to achieve automatic container number identification. This invention is mainly used for identifying container numbers on front-mounted cranes.

This invention provides a method and apparatus for superconducting motor quench detection based on sliding time filtering, relating to the field of superconducting motor quench detection technology. The method includes: differentially processing the terminal voltage signals of adjacent superconducting rotor magnets in the superconducting motor; conducting three trial runs of the superconducting motor before quench detection to obtain interference frequency data; establishing sliding time windows with both long and short time scales during the actual operation of the superconducting motor, and performing notch filtering on the differential voltage signals of adjacent superconducting rotor magnets; performing linear regression fitting on the filtered signals within the sliding time windows to extract effective quench signal feature values; and establishing a quench protection criterion based on the quench feature values. This invention solves the problem of achieving high reliability and rapid response in quench detection technology under the complex interference environment of superconducting motor rotation operation, a problem that is difficult to address in existing technologies.

The invention discloses a display device and a backlight control method thereof, the display device comprises a processor, a backlight module and a display module, the processor determines a first backlight value corresponding to a first backlight partition based on initial pixel values of a plurality of target pixel points; performing spatial filtering processing on the first backlight value to obtain a second backlight value; performing time filtering processing on the second backlight value based on the third backlight value and the filtering coefficient to obtain a target backlight value; the backlight module lights up a backlight source in the first backlight partition according to the target backlight value, and backlight is provided; the display module displays an image frame to be displayed. Through spatial filtering processing, the purpose of adjusting the luminance of the connecting position of every two adjacent backlight subareas is achieved, and the cross color phenomenon of a spatial domain is eliminated. The time filtering processing with different processing intensities is carried out, so that the lightening rates of the backlight sources in the backlight partitions are kept consistent, the cross color phenomenon of the time domain is eliminated, and the display effect of the display equipment is improved.

The invention relates to a method for directional signal processing of signals of a microphone arrangement comprising a first microphone generating a first input signal from ambient sound and a second microphone generating a second input signal from ambient sound, wherein a reference signal is formed from the first input signal, wherein the reference signal is transformed into the frequency domain and a frequency space reference signal is generated, wherein the first and second input signal are each transformed into the frequency domain and a first frequency space directional signal is formed in the frequency domain from the so transformed first and second input signal, wherein a frequency-dependent first amplification factor is generated from a frequency-resolved comparison of the frequency space reference signal with the first frequency space directional signal or a signal derived from the first frequency space directional signal in the frequency domain, wherein a time filter is generated in the time domain from the first amplification factor, and wherein the reference signal is filtered by means of the time filter and an output signal is generated from the filtered reference signal.

This invention provides an automatic cleaning method and system for the hangar door side of polar shipborne helicopters. This invention belongs to the technical field of aviation ground support equipment and ship auxiliary machinery. The cleaning method includes: acquiring helicopter images, extracting key features of the fuselage, identifying the aircraft type and calculating the initial pose based on the PnP algorithm, and converting the preset cleaning path to the coordinate system of the cleaning device; generating a propeller cleaning sub-path, employing a master-slave control strategy to control two robotic arms to synchronously flush and clean the upper and lower surfaces of the propeller blades, and maintaining the balance of jet impact force through pressure closed-loop feedback; establishing a ship swaying dynamics model to estimate and predict the ship's motion state in real time, and combining the real-time feedback deviation vector obtained from laser ranging and visual acquisition to generate a corrected speed command; identifying the surface state category through temporal filtering and texture analysis, and adaptively adjusting according to the identification results.

The present application discloses a video compression method, apparatus, device and storage medium, relating to the technical field of video processing, including: determining a target video sequence to be compressed, and sequentially obtaining a plurality of pixel blocks in each frame image of the target video sequence; respectively calculating the sum of squared errors, vertical sum of squared errors and horizontal sum of squared errors of the plurality of pixel blocks in each frame image; calculating the error distribution of the corresponding pixel blocks based on the size, sum of squared errors, vertical sum of squared errors and horizontal sum of squared errors of each pixel block to obtain an error distribution value, and determining whether the error distribution value is less than a preset threshold; if it is less than the preset threshold, performing a temporal filtering operation on the corresponding pixel block to obtain filtered data, and performing encoding and compression on the filtered data to obtain a compression result; if it is not less than the preset threshold, directly performing encoding and compression on the corresponding pixel block to obtain a compression result. The present application can improve the compression performance of the encoder and at the same time improve the efficiency of video compression.

The invention relates to adaptive quantization based on a coding tree. Systems and methods herein are used to associate a video encoder with a temporal filter and a coding tree, and may perform a main channel of video coding using respective video blocks to predict at least one frame associated with a media stream, where the coding tree is associated with a look-ahead channel, and the temporal filter may denoise within the look-ahead channel, and where the coding tree is associated with the look-ahead channel. To reduce noise effects in one or more of motion estimation or mode selection for video coding.

The invention discloses a bare soil intelligent identification method and system of a high-resolution remote sensing image, and relates to the technical field of ecological environment remote sensing monitoring, high-resolution remote sensing image data of a to-be-identified area is acquired and preprocessed, and preprocessed high-resolution remote sensing image data is obtained; performing filtering optimization on the preprocessed high-resolution remote sensing image data by adopting a dynamic adaptive multi-temporal filtering optimization method to obtain an optimized high-resolution remote sensing image data image; cutting the optimized high-resolution remote sensing image data, extracting contour position coordinates of a mask image, and constructing a training set; and inputting the training set into a bare soil recognition model for training to obtain a trained bare soil recognition model, and recognizing the bare soil plaques of the to-be-recognized region based on the trained bare soil recognition model. The multi-scale bare soil plaques under a complex background are accurately and automatically identified under a relatively low computing resource demand, and the distinction degree between the bare soil and other ground features is enhanced.

This paper presents a method for fusing and reconstructing trajectory data from multiple sources in hybrid traffic flow, relating to the fields of multi-source sensor fusion localization and target tracking. The method acquires the 3D acceleration sequence and RGB video stream of the target object, extracting the geometric center coordinate sequence. Based on the frequency domain energy distribution of acceleration, the target's fundamental frequency parameters are obtained. Temporal filtering coefficients are constructed using the dynamic sampling rate of the video, and the geometric center coordinates are filtered to obtain a corrected center coordinate sequence, which is then mapped to a measurement vector. Kinematic state prediction is performed using acceleration to obtain prior inferred state variables, and then posterior updates are performed using the measurement vectors to obtain the optimal spatial position. The reconstructed trajectory sequence is generated by stitching the data together, and the sliding time window is updated based on feedback-optimized parameters. This method effectively eliminates spurious displacements caused by gait, fundamentally eliminating jagged oscillations in the trajectory, resulting in a smooth and stable fused trajectory.

The application relates to a high-precision positioning method based on angle information fusion estimation, and belongs to the technical field of wireless positioning algorithms, which comprises the following steps: establishing a benchmark antenna coordinate model; establishing an IQ data frame model according to a CTE protocol model; applying time filtering to the IQ data frame model in the time domain; constructing a mean reference phase difference and an angle phase difference matrix for the IQ data frame model after time filtering processing, and constructing a multi-phase difference composite signal model; constructing a signal covariance matrix by using the multi-phase difference composite signal model, applying spatial smoothing filtering to the signal covariance matrix; and fusing a dimension-reduced signal steering vector obtained by applying spatial smoothing filtering to the signal covariance matrix and a dimension-reduced noise subspace into angle estimation. The application starts from a two-dimensional antenna array spatial coordinate and an IQ data frame model, angle fusion estimation is carried out by using a hierarchical method, and the technical problem of low positioning precision of a two-dimensional antenna array in an indoor environment is solved.

The invention discloses a preset time adaptive control method and system for a high-order nonlinear MIMO system, and relates to the technical field of industrial control. The method comprises the following steps: establishing a dynamic model of a high-order nonlinear MIMO system, and approaching an unknown nonlinear function in the dynamic model by using a neural network; determining a tracking error based on the dynamic model; constructing a virtual control law based on the tracking error and defining a virtual error; constructing a preset time filter to process the virtual control law, and determining a filtering error; the parameter of the preset time filter is configured to enable the filtering error to converge in the preset time; under a backstepping recursion framework, combining a tracking error, a virtual error and a filtering error, and adopting an improved weighted integral technology to design an actual control law; and setting an event triggering mechanism based on a relative threshold value to modulate the actual control law and then output a control signal. The system stabilization time can be directly preset without being influenced by the initial state, and meanwhile the updating frequency of the controller is reduced.

A neural network-based medical image processing apparatus according to the present invention, which identifies a small intestine region from a medical image acquired by a capsule endoscope, comprises: a memory equipped with an organ identification algorithm for performing organ identification from the medical image; and a processor for applying the medical image to the organ identification algorithm such that the small intestine region is identified. The organ identification algorithm includes: a convolutional neural network algorithm for identifying an organ included in the medical image as the stomach, the small intestine, and the large intestine to identify the small intestine region therefrom; and a temporal filtering algorithm linked to the convolutional neural network algorithm to reduce images which may be misidentified by the convolutional neural network algorithm.

Embodiments described relate to adjusting one or more pixel values in a region corresponding to an image artifact based on one or more spatial characteristics and one or more temporal characteristics to reduce or eliminate the image artifact. An electronic device may employ spatio-temporal filtering circuitry that includes spatial adjustment circuitry, temporal adjustment circuitry, and / or fuse circuitry. The spatial adjustment circuitry may perform a spatial adjustment of image data in the region of the image frame. Moreover, the temporal adjustment circuitry may perform a temporal adjustment of the image data in the region of the image frame. The fuse circuitry may then merge the spatially adjusted image data and the temporally adjusted image data in the region of the image frame.

The invention provides an insulation defect identification method, system and device for power equipment and a medium, and the method comprises the steps: obtaining a partial discharge signal, and extracting a multi-resolution time-frequency feature of the partial discharge signal through a preset window width through Gabor transformation; inputting the multi-resolution time-frequency characteristics into a pre-trained insulation defect identification model, and obtaining an identification result of the insulation defect type of the power equipment based on the output of the insulation defect identification model; wherein the insulation defect identification model is configured with a frequency filter, a time filter and a texture filter, the frequency filter, the time filter and the texture filter respectively adopt convolution kernels of different sizes, and the frequency filter, the time filter and the texture filter are respectively used for processing time-frequency characteristics of different resolutions. According to the invention, the accuracy of insulation defect type identification can be improved.