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.
该方法直接在二维空间上由db6小波包基对笔迹纹理实施3尺度小波包分解，再在由以香农熵为代价函数提取得到的15个小波包最好基处对分解系数实行重构。
参考来源 - 一种基于小波包分析和神经网络的笔迹鉴别方法·2,447,543篇论文数据，部分数据来源于NoteExpress
This paper is mainly concerned with extracting effective features from the recognized or classified signals by selecting wavelet packet basis via given training sample sets.
本文主要研究由给定的训练样本集，如何选择最优小波包基，从被识别或分类的信号中提取具有最大可分性的特征。
In the study of brain-computer interfaces, a method based on best basis of wavelet packet 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。
This paper briefly expounded the basic theory of wavelets and wavelet packet, and on the basis of using wavelet packet, introduced the general principles in vibration signal denoise.
简要阐述了小波分析、小波包分析的基本原理，并在此基础上介绍了利用小波包给信号去噪的一般原理。
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