在异步电机转子断条故障检测中，将原信号最优小波包分解，经自适应滤波后再信号重构。
During detection of asynchronous motor rotor-bar broken fault, the signal of current was reconstruct after decomposed by best wavelet packet and adaptive filtered.
结果表明：在故障检测前先采用最优小波包基方法对故障信号进行消噪，有利于提高汽轮机振动检测的准确性。
Measure test results show that signal denoising with BWPB prior to fault measurement is advantageous to enhancing the accuracy of steam turbine vibration fault detection.
新算法以融合能量代价函数为标准，在整个小波库中构造最优小波包基，从小波包基上提取信号最有价值的特征值。
The new arithmetic constructed the best wavelet packet based on the wavelet library with the criterion of fusing energy cost function and contract the most valuable features of the signals.
本文提出了一种结合人眼视觉特性(HVS)的自适应水印嵌入方法的基于最优小波包基数字图像水印鲁棒性算法。
In this paper, we present a novel robust digital image watermark arithmetic based on Wavelet Packet with Best Tree with combining HVS and embedding method of image adaptive.
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。
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.
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。
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。
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.
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