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SYSTEM AND METHOD FOR REDUCING SIZE OF RAW DATA BY PERFORMING TIME-FREQUENCY DATA ANALYSIS

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

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.
机译:公开了一种用于减少原始数据的数据大小的方法和系统。该系统可以处理原始数据以计算Renyi熵,Wigner Ville分布(WVD),Wigner Ville光谱(WVS)和Renyi散度。系统可以在处理原始数据时识别第一组窗口,然后识别第二组窗口。此外,系统可以计算第二组窗口的WVS的时频矩阵的本征值。系统可以基于特征值来过滤第二组窗口,以准备第三组窗口。系统准备特征值的聚类。系统可以计算特征值簇的质心。系统将第三组窗口中的每个窗口分类为一个集群,指示从原始数据中识别出的事件的相关类别。

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