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对400幅灰度图像用分块PCA的方法进行压缩，进行通信时只用传输主元和特征向量。其中，pcaxiefangcha.m用于图像压缩，imresume.m用于图像恢复和部分图像的显示，chaweight.m用于绘制特征值比重-主元个数关系图，crdraw.m用于绘制压缩比-主元个数关系图，psnrdraw.m用于绘制总误差PSNR-主元个数关系图，psnrlocation.m用于绘制单幅图像误差PSNR分布图。-On the 400 block with a gray image compressi
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matlab
用PCA方法对图像进行压缩、还原-PCA method using matlab image compression, restore
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这是一个基本的PCA方法实现人脸图像压缩与重建，可以非常快捷的将一些无法辨别的人脸图像进行快速的拼接。-This is a basic PCA method to achieve image compression and reconstruction of the face, can be very quick to identify the human face that can not be quickly spliced images.
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PCA for image compression, Sanger s algorithm implemented with neural networks
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2D双向PCA(2D2PCA),二维主成分分析(2DPCA)的实质是对图像矩阵按行进行图像压缩抽取特征,消除了图像列的相关性.-2D bidirectional PCA (2D2PCA), two-dimensional principal component analysis (2DPCA) real image matrix row the Image Compression extraction characteristics to eliminate the correlation of
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用PCA算法在matlab平台上对图像进行压缩与解压缩，内含测试图像，能直接在matlab上运行使用，对学习PCA算法有帮助。-PCA algorithm used in matlab platform for image compression and decompression, containing the test images, can be run directly on matlab, PCA algorithm is helpful for learning.
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自适应PCA 用于信号处理中，在图像压缩，图像识别方面也很有帮助，很有用的代码-, Image compression, image recognition is also very helpful, very useful code for adaptive signal processing in PCA
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Wavelet based Image Reconstruction Gradient Data
Fast morphological reconstruction of large logical masks.
Kernel PCA and Pre-Image Reconstruction
Reconstruction of image projections by Algebraic Reconstruction Technique
Image Reconstruction
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使用matlan对lena图像进行PCA主成分分析压缩。包含变换，还原等。-Use matlan for lena image compression PCA principal component analysis. It contains transformation, reduction and the like.
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是学习PCA特征提取的很好的学习资料，复化三点Gauss-lengend公式求pi，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- Is a good learning materials to learn PCA feature extraction, Complex of three-point Gauss-lengend the Formula pi, Including the final calculation of the compressed image peak signa
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包括最后计算压缩图像的峰值信噪比和压缩效果的源码,迭代自组织数据分析，借鉴了主成分分析算法（PCA）。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Iterative self-organizing data analysis, It draws on principal component analysis a
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包括最后计算压缩图像的峰值信噪比和压缩效果的源码,Gabor小波变换与PCA的人脸识别代码，真的是一个好程序。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Gabor wavelet transform and PCA face recognition code, Really is a good program
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结合PCA的尺度不变特征变换(SIFT)算法，实现了图像的加水印，去噪，加噪声等功能，线性调频脉冲压缩的Matlab程序。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Realize image watermarking, de-noising, plus noise and other functions, LFM pulse compression of the Matlab program.
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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,通过matlab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, By matlab code.
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结合PCA的尺度不变特征变换(SIFT)算法，包括压缩比、运行时间和计算复原图像的峰值信噪比,考虑雨衰 阴影 和多径影响。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Consider shadow rain
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Gabor小波变换与PCA的人脸识别代码，包括最后计算压缩图像的峰值信噪比和压缩效果的源码,ML法能够很好的估计信号的信噪比。- Gabor wavelet transform and PCA face recognition code, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, ML estimation me
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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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借鉴了主成分分析算法（PCA），搭建OFDM通信系统的框架，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- It draws on principal component analysis algorithm (PCA), Build a framework OFDM communication system, Including the final calculation of the compressed image peak signal to noise ratio and com
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包括最后计算压缩图像的峰值信噪比和压缩效果的源码,是学习PCA特征提取的很好的学习资料，已经调试成功.内含m文件，可直接运行。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Is a good learning materials to learn PCA feature extraction, Has been
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PCA实现图像压缩 matlab代码，根据pca选出累计概率达到90%的特征，作为新的特征，并根据新的特征实现图像的重建(PCA implementation of image compression Matlab code)
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