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.
鲍明，管鲁阳，李晓东，田静. 加权熵最大优化分带分析方法及在模式分类中的应用[J]. 模式识别与人工智能, 2008, 21(1): 42-48.
BAO Ming, GUAN LuYang, LI XiaoDong, TIAN Jing. SubBand Optimization with Criterion of Maximum Weighting Entropy and Its Application in Pattern Classification. , 2008, 21(1): 42-48.
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2008, Vol. 21 
