搜索资源列表
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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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在MATLAB中调用gabor变换的代码，生成gaboe小波滤波器。主要用在模式识别的提取特征阶段。-In gabor transform call MATLAB code to generate a wavelet filter gaboe. Mainly used in pattern recognition feature extraction stage.
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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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一个基于输入的图形进行特征提取一种基于gabor小波变换代码。-Graphics based on the input of a feature extraction based on gabor wavelet transform code.
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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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matlab code for gabor wavelet feature extraction
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Gabor小波变换与PCA的人脸识别代码，用于信号特征提取、信号消噪，内含心电信号数据及运用MATLAB写的源代码。- Gabor wavelet transform and PCA face recognition code, For feature extraction, signal de-noising, ECG data and includes source code written in MATLAB.
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BP神经网络用于函数拟合与模式识别，是学习PCA特征提取的很好的学习资料，Gabor小波变换与PCA的人脸识别代码。- BP neural network function fitting and pattern recognition, Is a good learning materials to learn PCA feature extraction, Gabor wavelet transform and PCA face recognition code.
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Gabor小波提取特征源码，支持向量量机作分类器，能用于掌纹，人脸，指纹识别。-Gabor wavelet feature extraction, and then use the support vector machine as classifier, can be used to palmprint, face, fingerprint identification.
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是学习PCA特征提取的很好的学习资料，Gabor小波变换与PCA的人脸识别代码，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块。- Is a good learning materials to learn PCA feature extraction, Gabor wavelet transform and PCA face recognition code, ofdm system simulation including 16qam modulation fft windo
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是学习PCA特征提取的很好的学习资料，包括压缩比、运行时间和计算复原图像的峰值信噪比,Gabor小波变换与PCA的人脸识别代码。- Is a good learning materials to learn PCA feature extraction, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Gabor wavelet transform an
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是学习PCA特征提取的很好的学习资料，数据模型归一化，模态振动，Gabor小波变换与PCA的人脸识别代码。- Is a good learning materials to learn PCA feature extraction, Normalized data model, modal vibration, Gabor wavelet transform and PCA face recognition code.
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