7 results about "Data resampling" patented technology

The application relates to the field of meteorological data processing and satellite navigation application, and provides a multi-source meteorological data fusion method and system based on a Beidou space-time reference. The method comprises the following steps: acquiring Beidou data and multi-source meteorological data to be fused, taking the coordinated universal time timestamp output by a Beidou ground-based enhancement station as a global time reference, and setting a sliding window; taking the world geodetic coordinate system corresponding to the Beidou positioning data as a space reference, resampling the multi-source meteorological data to a preset standard grid, and combining terrain elevation data to construct a unified space coordinate system; calculating the confidence degrees of fused static terrain features and dynamic change features based on Beidou satellite orbit residual and clock difference parameters, adjusting the feature weights of the fused static terrain features and dynamic change features, and generating an enhanced fusion feature matrix.

The application relates to a touch screen resampling method and device, electronic equipment and a storage medium. The method comprises the following steps: performing scene recognition on the electronic equipment to obtain a scene recognition result; determining a corresponding target resampling time difference according to the scene recognition result; the target resampling time difference is a time difference between a sampling time point and a time point of a screen refresh event; after listening to the screen refresh event each time, determining the sampling time point according to the target resampling time difference and the time point of the screen refresh event; resampling target touch screen data reported before the screen refresh event according to the sampling time point to obtain supplementary touch screen data. The method can improve the response effect of touch.

The application provides a data synchronization method and device for multi-device cooperative collection, and belongs to the technical field of automobile testing. The synchronization method comprises the following steps: a step voltage signal is sent to all data collection devices participating in collection through a general hardware trigger module; each data collection device receives and records the step voltage signal through an analog voltage channel; the original data collected by each data collection device is subjected to time axis resetting with the moment when the step voltage signal reaches a preset voltage threshold as a time zero point; the data obtained after resetting is resampled at the same sampling frequency, and the data length is aligned, so that the multi-device data is synchronized and aligned. The step voltage signal is sent through the general hardware trigger module, and the starting moment of collection of each device is unified; meanwhile, the time deviation of data collection is solved by data resampling of software, the data collected by collection devices of different brands and models is synchronized and aligned, and high-precision and high-reliability cooperative collection is realized.

This application discloses a method for reducing resource overhead during data resampling, comprising: calculating the ratio of the input and output sampling rates of the rate matching module and the absolute difference between 1 and the ratio; when the input sampling rate is less than the output sampling rate, reading data from a FIFO buffer according to a read enable signal and a read pointer, moving the read pointer forward by one position and accumulating the absolute difference after each read; when the accumulated absolute difference is greater than or equal to 1, keeping the read pointer unchanged and reading again for interpolation; when the input sampling rate is greater than or equal to the output sampling rate, writing data to a FIFO buffer according to a write enable signal and a write pointer, moving the write pointer forward by one position and accumulating the absolute difference after each write; when the accumulated absolute difference is greater than or equal to 1, pulling the write enable signal low and discarding the currently written data for sampling. This invention reduces resource overhead during data resampling without relying on a high-frequency clock and a large-depth FIFO.

The application discloses a method and device for reducing image noise, a computer readable storage medium and a terminal, and relates to the technical field of image processing.The method comprises the following steps: performing first data processing and second data processing on a to-be-processed image respectively to obtain a first image and a second image, wherein the first data processing is increased by at least one round of data resampling processing compared with the second data processing; determining a fusion weight value of each pixel according to the first image and the second image; and performing pixel-level fusion processing on the first image and the second image by using the fusion weight value to obtain a fused image.The application can remove chroma noise while retaining the color of a real object in an image and reducing color loss.

This invention discloses a method, system, equipment, and storage medium for constructing a distribution network operation architecture, relating to the field of distribution network operation architecture. The method includes: extracting monitoring data from different equipment operations to establish a distribution network dataset with the same time-stamp; resampling all equipment data to the same timestamp sequence based on the kernel density formula; determining and performing alignment operations between the current equipment operation monitoring data and the same timestamp sequence based on the equipment's sampling frequency and timestamp; obtaining the quality assessment score and weight coefficient of the equipment operation monitoring data, and updating and optimizing it; constructing a distribution network operation architecture evaluation model and outputting the current operation status labels of the distribution network equipment; and dynamically adjusting the equipment operation parameters in the distribution network operation architecture based on fault tree analysis and expert experience rules. This achieves dynamic sampling of equipment operation data and applies the distribution network operation architecture evaluation model to solve the problem of synergistic operation of distribution network economy and reliability under multiple constraints.