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根据小波包理论及其算法提出了一种对直升机和坦克进行分类的新方法：对未知目标的某段信号用小波包算法处理后，以炳函数作为信息代价函数，根据墙的大小确定该信号的最佳基，然后统计最佳基数目，最后根据该数目是否落在预定门限内来判别目标是直升机还是坦克。应用此法对外场数据处理的结果表明，该方法能够较好地达到分类目的。
According to the wavelet packet theory and its algorithm, a new method for classifying helicopters and tanks is proposed. After a certain signal of an unknown target is processed by a wavelet packet algorithm, the information of the signal is determined according to the size of the wall The best base, and then statistics the best base number, and finally based on whether the number falls within the predetermined threshold to determine whether the target is a helicopter or tank. The application of this method to the field data processing results show that the method can better achieve the purpose of classification.