| 主权项 |
1. A method for reducing size of raw data, the method comprising:
calculating, by a processor, Wigner Ville Distributions (WVD's) for a plurality of windows of raw data, wherein a window of the plurality of windows comprises a predefined number of samples of the raw data; computing, by the processor, Renyi entropies over the WVD's for the plurality of windows; computing, by the processor, a distribution of magnitudes of the Renyi entropies over the plurality of windows; identifying, by the processor, a first set of windows from the plurality of windows based upon a Renyi entropy threshold and upon the distribution of magnitude of the Renyi entropies; computing, by the processor, a Wigner Ville Spectrum (WVS) of the first set of windows, wherein the WVS is indicative of an average of the WVD's of all windows present in the first set of windows, and wherein the WVS is stored in form of a Time-Frequency matrix; computing, by the processor, a Renyi divergence using the WVS and the WVD's for the first set of windows; computing, by the processor, a distribution of the Renyi divergence over the first set of windows; preparing, by the processor, a dataset comprising a second set of windows selected from the first set of windows, wherein the second set of windows has the Renyi divergence lower than a predefined divergence threshold; calculating, by the processor, Eigen values for the Time-Frequency matrix of the WVS of the second set of windows, wherein the Eigen values are indicative of spectral features of the second set of windows; identifying, by the processor, a third set of windows from the second set of windows, wherein the third set of windows has the Eigen values greater than a predefined Eigen threshold; clustering, by the processor, the Eigen values of the third set of windows into clusters of Eigen values based upon a nearest neighbour rule; computing, by the processor, centroids of the clusters of Eigen values, wherein the centroids are indicative of relevant categories of events; and classifying, by the processor, at least one window, of the third set of windows, with the Eigen values having a nearest distance to one of the centroids, thereby reducing size of the raw data. |
