Abstract Power spectral subband analysis with the criterion of maximum weighting entropy is derived as a new signal analysis method in this paper. The maximum information is obtained by optimizing the subbands allocated in frequency. Based on this method, a algorithm of feature extraction for classification, maximum weighting entropy cepstrum coefficients (MECC), is proposed and applied to ground vehicle recognition system. Experimental results show that MECC has better classification performance than the traditional methods.
BAO Ming,GUAN LuYang,LI XiaoDong等. SubBand Optimization with Criterion of Maximum Weighting Entropy and Its Application in Pattern Classification[J]. , 2008, 21(1): 42-48.
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2008, Vol. 21 
