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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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一幅输入的图形进行特征提取基于gabor小波变换 -Enter a graphical feature extraction based on gabor wavelet transform
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针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即:
使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗
配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基
于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合.
-For visible light and infrared images of the characteris
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This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transfo
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基于gabor小波变换的图像检索程序。有特征提取、特征匹配，以及结果返回。-On gabor wavelet transform based image retrieval process. There are feature extraction, feature matching, as well as the results returned.
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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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首先进行小波变换，在此基础上进行pca特征提取，在进行lda特征提取，用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition
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利用小波进行一级特征提取，在此基础上采用2dpca进行二级特征提取，用于人脸识别。-Carried out a wavelet feature extraction, in this based on the use of 2dpca for two feature extraction for face recognition.
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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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wavelet packages used for extracting ECG feature extraction-wavelet packages used for extracting ECG feature extraction...
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wavelet based voice lock system
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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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自己编译的小波矩特征提取matlab代码-Wavelet moment to compile the feature extraction matlab code
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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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结合PCA和Wavelet进行图像压缩和特征提取等方面的研究-fuse wavelet and PCA for image compression,denoise and feature extraction
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利用小波变换对感兴趣区进行小波特征的提取-Area of interest by using wavelet transform for wavelet feature extraction
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轴承信号故障诊断小波特征提取 采用公开的轴承信号作为源信号-Bearing fault diagnosis signal wavelet feature extraction
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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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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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