The method directly executes wavelet packet decomposition of handwriting texture using wavelet packet basis db6 at scaling 3 in 2D space, then reconstructs the decomposition coefficient of 15 wavelet packet best basis which are took by Shannon Entropy Cost Function.
This paper is mainly concerned with extracting effective features from the recognized or classified signals by selecting waveletpacketbasis via given training sample sets.
In the study of brain-computer interfaces, a method based on best basis of waveletpacket decomposition was proposed. The method is used for the feature extraction of electroencephalogram.
在脑机接口研究中，针对脑电特征抽取，提出一种基于小波包最优基分解的方法。
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This paper briefly expounded the basic theory of wavelets and waveletpacket, and on the basis of using waveletpacket, introduced the general principles in vibration signal denoise.