Because the wavelet packet decomposition is very sensitive to signal of the strange point, this characteristics can be used to follow the velocity signal of motor vibration.
小波包分解本身对信号的奇异点十分敏感，此特点可以用来跟踪电机振动速度信号。
According to the method, the energy of different frequency bands after wavelet packet decomposition constitutes the input vectors of support vector machine as feature vectors.
该方法将振动信号小波包分解后的频带能量作为特征向量，输入到由多个支持向量机构成的多故障分类器中进行故障识别和分类。
On the basis of wavelet packet decomposition technique introduced firstly, the measured unstable oil-film oscillations of single-disc and single-span rotor system were investigated.
在介绍小波包分解原理的基础上，对试验测得的单盘单跨转子系统的油膜振荡非平稳信号用小波包分解方法进行了研究。
The characteristic frequency band of the fault can be identified by wavelet packet decomposition and its energy spectrum conveniently, and the quantification analysis are then performed.
应用小波包分解及其能量谱直观地识别出故障的特征频带，并进行了量化分析。
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。
Propose wavelet packet decomposition frequency-band monitoring method, diagnose typical failures of rolling bearing, and extract eigenvector to prepare follow-up Neural network identification.
提出了基于小波包分解频带能量监测法，对滚动轴承的几种典型故障进行了诊断，并且提取特征向量，为后续的神经网络识别作准备。
In this article, the linear magnitude predictor of wavelet packet decomposition coefficients, the creation algorithm of images characteristics based on wavelet packet transform have been introduced.
该文建立了自然图像的小波包分解系数绝对值线性预测模型，提出了基于小波包变换的图像特征形成算法。
In this article, the linear magnitude predictor of wavelet packet decomposition coefficients, the creation algorithm of images characteristics based on wavelet packet transform have been introduced.
该文建立了自然图像的小波包分解系数绝对值线性预测模型，提出了基于小波包变换的图像特征形成算法。
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