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小波包分析在刀具声发射信号特征提取中的应用[1小波包分析在刀具声发射信号特征提取中的应用[1]－－文章-wavelet packet analysis tool in the acoustic emission signal feature extraction of [a wavelet packet analysis tool in the acoustic emission signal feature extraction applications [1] -- article
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小波包变换分析信号的MATLAB程序，可用于提取故障特征向量,Wavelet packet transform analysis of signals in MATLAB procedures, can be used to extract fault feature vector
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基于小波包分析的声音特征提取--毕业设计程序：希望交流-Based on wavelet packet voice feature extraction- graduate design program: the hope of sharing
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基于小波包分解的脑电信号特征提取.格式是caj后缀的，大家看的时候可能得有CAJViewer 这个软件-Based on wavelet packet decomposition of the EEG feature extraction. CAJ suffix format is, we see there may be a time when the software CAJViewer
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利用MATLAB实现一维信号时间序列的，特征提取，其中包括ICA和基于小波包的方法。-Use MATLAB to achieve one-dimensional time series signal, feature extraction, including the ICA and the method based on wavelet packet.
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基于小波包特征提取的车牌字符识别，是一片期刊论文，还不错的，可以学习-Feature extraction based on wavelet packet license plate character recognition is a journal articles, but also good, you can learn
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对采集到的电压信号进行小波包分解提取特征向量，再进行BP神经网络训练-On the acquisition of the voltage signal to the wavelet packet decomposition to extract feature vector and then BP neural network training
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基于小波包的数字水印嵌入算法，根据载体图像的小波包分解特征选取嵌入强度。-Wavelet packet-based digital watermark embedding algorithm, according to vector images embedded wavelet packet feature selection intensity.
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谐波小波包分解程序，并且将其应用于声发射信号特征提取-Harmonic wavelet packet decomposition procedure, and will be applied to acoustic emission signal feature extraction
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对表面肌电信号进行小波包分解，提取特征向量-Wavelet packet decomposition of surface EMG Feature Extraction
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表面肌电信号的小波包局部能量分解柱状图，提取特征能量-Local energy of the surface EMG wavelet packet decomposition histogram feature extraction energy
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基于小波包的无刷直流电机匝间短路故障特征提取-Brushless DC motor based on wavelet packet inter-turn short circuit fault feature extraction
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自己编的改进谐波小波包实现程序，实现了信号经过谐波小波包变换后幅值不变，适合于机械故障特征提取-The own series improved harmonic wavelet packet achieve signal amplitude unchanged after harmonic wavelet packet transform, for mechanical fault feature extraction
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用小波工具箱函数实现小波包的分解与重构，非常适合与机械故障特征提取。-Wavelet packet decomposition and reconstruction, and is ideal for mechanical fault feature extraction using wavelet toolbox functions.
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可以求解信号的小波包特征向量，对工程信号的分析有一定帮助-Can solve wavelet packet feature vector signal engineering analysis of the signal
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关于小波包变化的，特征提取的一些程序，可直接运行成功。-Wavelet packet feature extraction
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这是一个对信号进行小波包特征量提取的程序源代码，对初学者有帮助-This is a signal wavelet packet feature amount extraction program source code, for beginners help
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改进的小波包特征熵，经本人试用，完全能够求解特征熵-Improved wavelet packet feature entropy, by my trial, fully able to solve the feature entropy
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基于混合信号的小波包分解技术在故障特征提取中的应用-Feature Extraction Using Multisignal Wavelet Packet Decomposition
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Driver Drowsiness Classification Using Fuzzy
Wavelet Packet Based Feature Extraction Algorithm
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