1. This paper is mainly concerned with extracting effective features from the recognized or classified signals by selecting waveletpacket basis via given training sample sets.
2. 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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3. 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.
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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4. On the basis of waveletpacket decomposition technique introduced firstly, the measured unstable oil-film oscillations of single-disc and single-span rotor system were investigated.
5. The L F signals are transformed by entropy based on waveletpacket algorithms for best basis selection, and the results are displayed in time- frequency space namely phase plane.
