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SYSTEM AND METHOD FOR REDUCING SIZE OF RAW DATA BY PERFORMING TIME-FREQUENCY DATA ANALYSIS
SYSTEM AND METHOD FOR REDUCING SIZE OF RAW DATA BY PERFORMING TIME-FREQUENCY DATA ANALYSIS
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机译:通过进行时频数据分析来减少原始数据大小的系统和方法
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摘要
Disclosed is a method and system for reducing data size of raw data. The system may process the raw data for calculating Renyi entropies, Wigner Ville Distributions (WVD's), Wigner Ville Spectrum (WVS) and Renyi divergence. The system may identify a first set of windows followed by a second set of windows while processing the raw data. Further, the system may calculate Eigen values for a Time-Frequency matrix of WVS of the second set of windows. The system may filter the second set of windows based on the Eigen values for preparing a third set of windows. The system prepares clusters of the Eigen values. The system may compute centroids of the clusters of the Eigen values. The system classifies each window of the third set of windows into one of the clusters indicating a relevant category of event identified from the raw data.
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