7 results about "Time domain correlation" patented technology

Provided are a method and an apparatus for port mapping of a sounding reference signal SRS resource, and a terminal. A method for port mapping of an SRS resource includes following steps. A terminal sends an SRS resource. Port mapping of the SRS resource is implemented based on a target parameter, the target parameter includes at least one of a first parameter and a second parameter, the first parameter includes a Doppler domain-related parameter or an orthogonal cover code OCC sequence-related parameter, and the second parameter includes a time domain-related parameter.

The present disclosure provides a video coding method, device, electronic equipment, storage medium, program product and a method for storing a bitstream, the video coding method comprising: obtaining a frame set, wherein the frame set comprises a current frame and a plurality of frames subsequent to the current frame; performing time domain correlation analysis on the frame set to determine a correlation category of the frame set from a plurality of preset correlation categories, wherein the time domain correlation is a time correlation between adjacent frames, the plurality of preset correlation categories are used to represent different correlation degrees of the time domain correlation, and each of the plurality of preset correlation categories has a corresponding code rate prediction parameter; performing code rate prediction on the frame set according to the code rate prediction parameter corresponding to the correlation category of the frame set to obtain a predicted code rate of the frame set; determining a quantization parameter according to the predicted code rate of the frame set; and encoding the current frame using the quantization parameter. The method helps to improve the accuracy of code rate prediction.

The application discloses a video frame adjusting method and an electronic device. The method establishes time domain correlation through a dense motion field between saliency maps, thereby generating a predicted saliency map. This process simulates the continuity of visual attention in time sequence, and provides a more accurate benchmark for evaluating the difference between the actual saliency map and the predicted saliency map. The actual saliency map and the predicted saliency map of a frame image are analyzed to determine the offset of the quantization parameter of the frame image, and the deviation between the actual distribution of the current frame image attention and the prediction is quantified. Based on this, the code rate is adjusted, and the visual experience is optimized.

The application relates to a multi-channel neural signal compression circuit device, a control method and a storage device, and relates to the technical field of neural signal processing. The device comprises an analog-digital front-end group, a data packer and a data transmission baseband module. The analog-digital front-end group comprises N channel processing units arranged in parallel. Each channel processing unit is integrated with an analog conditioning circuit, an analog-digital converter and an adaptive differential compression module. The adaptive differential compression module is directly coupled to the digital output end of the corresponding analog-digital converter of the channel, and compression processing is completed in the local data path of the channel. By integrating the adaptive differential compression module in the channel processing unit, efficient compression is realized by utilizing the time domain correlation of neural signals. Meanwhile, the data transmission is optimized by adopting a three-state bus structure, the data transmission load and system power consumption are significantly reduced, and low-power wireless transmission of high-throughput neural signals is realized.

The application relates to a cable line judgment method based on multi-information fusion, which comprises the following steps: collecting ultrasonic signals, electromagnetic signals, current transient signals and impedance response signals of a target line respectively, and performing standardization processing; extracting feature vectors of the signals of various modes, determining a weighting function of the corresponding mode signals based on the extracted feature vectors, performing time domain correlation analysis and frequency domain and phase consistency analysis, respectively obtaining corresponding correlation indexes, and calculating a single mode correlation coefficient based on the correlation indexes of the signals of various modes; weighting and summing the single mode correlation coefficients of the four types of signals to obtain a comprehensive correlation index, wherein the weight of the weighting and summing is adaptively determined; and determining whether the target cable is a same path conductor based on the comprehensive correlation index. Compared with the prior art, the application has the advantages of high line judgment precision, strong signal anti-interference capability and stable judgment process.

This invention relates to the field of distribution network signal diagnosis, and provides a method, device, and electronic equipment for noise reduction of distribution network signals for new energy access. The method includes: performing eigenmode decomposition on the acquired distribution network signal to obtain multiple intrinsic mode function (IMF) components; calculating the product of the envelope kurtosis and the time-domain correlation coefficient of each IMF component, using the product of envelope kurtosis and the time-domain correlation coefficient as a screening index to select multiple useful IMF components; employing an orthogonal matching pursuit algorithm to perform sparse reconstruction noise reduction on the multiple useful IMF components to obtain multiple denoised IMF components; and superimposing the multiple denoised IMF components to obtain the denoised distribution network signal. This invention can accurately select useful components and perform precise sparse reconstruction noise reduction on the useful components, effectively filtering out high-frequency strong noise in distribution networks with new energy access.