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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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gabor小波图片纹理特征提取，MATLAB编码，效果不错！-gabor wavelet image texture feature extraction, MATLAB code, good results!
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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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基于小波变换的纹理特征提取方法，可以提取特征值，经过修改也可以提取其他特征向量！适合初学者使用！-Wavelet-based texture feature extraction method that can extract the characteristic values, a modified vector of other characteristics can also be extracted! Suitable for beginners!
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Matlab小波特征提取，主要是纹理特征-Matlab wavelet feature extraction, texture features are mainly
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EEG signal classification using wavelet feature extraction
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EEG signal classification using wavelet feature extraction
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wavelet based voice lock system
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将小波变换应用于信号消噪,去除冗余分量后，提取信号主要特征-the wavelet can be applied to the signal denoise and feature extraction
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用GARCH模型对时间序列进行预测，包括建模过程，数据处理，阶数确定以及最小二乘估计参数-GARCH models and parameter estimated by LM
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先用gabor 小波滤波器,做特征提取，然后用支持向量机（SVM）做分类，来实现人脸检测.需要用matlab 2010 或更新的版本才能运行-the code is used for face detection.Firstly it use gabor wavelet filter for feature extraction,Secondly it use support vector machine (SVM）for classification.matlab 2010 required.
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此程序提取Gabor小波特征，然后由SVM进行分类的Matlab源代码-The Gabor wavelet feature extraction process, then classified by the SVM in Matlab source code
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wavelet transformation used for feature extraction
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基于高波小波特征提取和神经网络的人脸检测Matlab源码-Matlab source code based on the high wave wavelet feature extraction and neural network face detection
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文中从小波变换的角度出发,通过在尺
度域上对信号能量的一种划分,引入了小波能谱与小波熵作为信号特征提取的特征量来反映系统信号的统计特征。实验结果表明,该算法能有效提取弹丸激波信号特征,速度快、准确率高,而且具有对噪声不敏感的优势。
-Paper, starting from the point of view of the wavelet transform, introduced by a division of the signal energy scale domain, wave
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matlab图像处理非常重要，Gabor小波提取特征,然后用支持向量机作分类器，可以用于掌纹，人脸，指纹识别-Gabor wavelet feature extraction, and then use the support vector machine classifier, can be used for palmprint, face, fingerprint recognition
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I am simply extracting three types of features from the wavelet transform coefficients, these include: energy, variance and waveform length. You can modify and extract any types of features as you need.
** You need the wavelet toolbox to run this c
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实现对信号的时域频域小波奇异值等特征提取-Realization of the signal in the time domain frequency domain wavelet feature extraction, such as singular value
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小波变换的特征提取，用于情感识别方法，基于脑电信号-Wavelet feature extraction method for emotion recognition based on EEG
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基于Yale-B和CMU-PIE 人脸库上的实验结果显示本文算法对复杂光照具有较强鲁棒性，具备提取复杂光照条件下人脸图像有效特征的能力。小波变换 特征提取 matlab仿真-Experimental results based on Yale-B and CMU-PIE face show that the proposed algorithm has a strong light on the complexity of robustness, with the extraction of
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