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Gabor wavelet transform applied to feature extraction of ophthalmic images.
We investigate a new approach for measuring ocular
refractive errors (astigmatism, near-sightedness and shortsightedness)
from images of the human eye [1]. This
ap
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自己的小波包程序（含消噪、能量特征提取、信号重构等），希望对大家有帮助-Wavelet packet procedure (including de-noising, the energy feature extraction, signal reconstruction, etc.), we hope to help
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这是自己编的卷积型小波包的分解程序，用于机械故障特征提取，实现了克服Mallat算法数据量减少和产生虚假频率的缺陷-Own series of convolution type of wavelet packet decomposition procedures for mechanical fault feature extraction to overcome the defects of the the Mallat algorithm decrease in the amount of
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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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Colourhistogram
II. TEXTURE FEATURE EXTRACTION IN CBIR
An overview of the proposed CBIR system is illustrated
in Fig. 1. The proposed algorithm, Label Wavelet Transform
(LWT), is based on color image segmentation [1], and it is
an extens
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3.1语音信号的同态处理和倒谱分析30
3.1.1同态处理的基本原理30
3.1.2复倒谱和倒谱31
3.2离散余弦变换34
3.3Mel频率倒谱系数的分析37
3.3.1Mel滤波器组37
3.3.2MFCC特征参数提取38
3.4小波和小波包变换43
3.4.1小波变换43
3.4.2小波包变换44
3.4.3小波包算法45
3.4.4MATLAB中一维小波和小波包变换函数46
3.4.5MATLAB语音信号小波和小波包变换的例子49
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小波包能量程序，支持向量机组分类时，特征的提取，小波包能量-Wavelet packet energy program, support vector machine classification, feature extraction, wavelet packet energy
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采用了小波去噪的思想，有PMUSIC 校正前和校正后的比较，是学习PCA特征提取的很好的学习资料。- Using wavelet denoising thought, A relatively before correction and after correction PMUSIC, Is a good learning materials to learn PCA feature extraction.
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基于小波变换的数字水印算法matlab代码，匹配追踪和正交匹配追踪，是学习PCA特征提取的很好的学习资料。- Based on wavelet transform digital watermarking algorithm matlab code, Matching Pursuit and orthogonal matching pursuit, Is a good learning materials to learn PCA feature extraction.
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一维信号特征提取参考程序，正常信号和故障信号特征的提取，开发环境为MATLAB。是使用小波分解处理信号的参考，使用了小波包三层分解。-One dimensional signal feature extraction reference program, normal signals and fault feature extraction, the development environment of MATLAB.Is the use of wavelet decomposition pro
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通过反复训练模板能有较高的识别率，采用了小波去噪的思想，用于信号特征提取、信号消噪。- Through repeated training rIBOKYwlate have higher recognition rate, Using wavelet denoising thought, For feature extraction, signal de-noising.
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matlab小波分析程序，预报误差法参数辨识-松弛的思想，用于信号特征提取、信号消噪。- matlab wavelet analysis program, Prediction Error Method for Parameter Identification- the idea of relaxation, For feature extraction, signal de-noising.
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利用matlab写成的窄带噪声发生，基于小波变换的数字水印算法matlab代码，是学习PCA特征提取的很好的学习资料。- Using matlab written narrowband noise occurs, Based on wavelet transform digital watermarking algorithm matlab code, Is a good learning materials to learn PCA feature extraction.
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基于小波变换的数字水印算法matlab代码，IDW距离反比加权方法，是学习PCA特征提取的很好的学习资料。- Based on wavelet transform digital watermarking algorithm matlab code, IDW inverse distance weighting method, Is a good learning materials to learn PCA feature extraction.
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Is a good learning materials to learn PCA feature extraction, Based on wavelet transform digital watermarking algorithm matlab code, Foreign materials inside the source code.
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本程序用于提取样本小波变换中能量特征提取，希望对大家有用(wavelet transform energy feature extraction)
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将理论知识、科学研究和工程实践有机结合起来，内容涉及数字图像处理和识别技术的方方面面，包括图像的点运算、几何变换、空域和频域滤波、小波变换、图像复原、形态学处理、图像分割以及图像特征提取的相关内容；同时对于机器视觉进行了前导性的探究，重点介绍了两种目前在工程技术领域非常流行的分类技术——人工神经网络（ANN）和支持向量机（SVM），并在人脸识别这样的热点问题中结束《精通Matlab数字图像处理与识别》。(Combining theoretical knowledge, scientific re
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小波变换，小波矩特征提取方法，特别好用，注释清楚(Wavelet transform, wavelet moment feature extraction method, particularly easy to use, annotated clearly.)
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脑机接口分类，特征提取用小波包熵，分类使用SVM分类器(Brain-computer interface classification, feature extraction using wavelet packet entropy, classification using SVM classifier)
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