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一系列展示图像压缩技术的源代码。包括有:使用块截断编码的图像压缩(Block Truncation)、基于高斯金字塔变换的图像压缩(Gaussian Pyramids)、基于离散余弦变换对图像压缩(Discrete Cosine Transform)、基于奇异值分解(SVD)的图像压缩(Singular Value Decomposition)。给出的代码还可以用于2D图像噪声消除
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人脸识别:利用奇异值分解和KL变换的投影,是很有价值的一篇文章-Face Recognition : The Singular Value Decomposition and KL transform projection, it is valuable to an article
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图像压缩的几个MATLAB算法:分块编码、高斯金字塔、离散余弦变换、单值分解。-Image Compression Algorithm several MATLAB : Block Coding, Gaussian pyramid, discrete cosine transform, singular value decomposition.
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计算机图象处理,图象压缩处理,图像压缩的几个MATLAB算法:分块编码、高斯金字塔、离散余弦变换、单值分解。-computer image processing, image compression, image compression algorithm several MATLAB : Block Coding, Gaussian pyramid, discrete cosine transform, singular value decomposition.
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一个描述奇异值分解的matlab小程序,通俗易懂,方便移植。-A descr iption of the singular value decomposition matlab small program, easy to understand, easy to transplant.
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奇异值分解源程序的一个程序,很不错的一个程序,欢迎使用,Singular value decomposition of a source program, it is a good program, Welcome
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现代谱估计的matlab的程序。用的是奇异值分解的总体最小二乘法。,Modern Spectral Estimation matlab procedures. Using a singular value decomposition of the total least squares method.
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奇异值分解的C语言程序,可以直接运行,高效简单易于理解-Singular value decomposition of the C language program can be run directly, simple and easy to understand effective
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基于奇异值分解(SVD)的图像压缩算法matlab实现-Based on singular value decomposition (SVD) to achieve image compression algorithm matlab
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TFIDF source code for the java programs
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奇异值分解(SVD)的MATLAB仿真性能分析-Singular value decomposition (SVD) of the MATLAB simulation performance analysis
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矩阵运算的软件包,包括矩阵的LU分解、RQ分解、奇异值分解等-Matrix calculation of the package, including the LU decomposition of matrix, RQ decomposition, singular value decomposition, etc.
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运用奇异值分解定理的PCA方法在ORL人脸库上进行人脸识别,分类器为最近邻分类器,-The use of singular value decomposition theorem of PCA method in ORL face database for face recognition, nearest neighbor classifier for the classifier,
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这是基于PCA的人脸识别,用MATLAB编写,包含了K-L变换,奇异值分解等方法,且采用了最小距离分类器-This is based on the PCA face recognition, using MATLAB to prepare, including the KL transform, singular value decomposition and other methods, and the use of the minimum distance classifier
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//奇异值分解法求广义逆
//本函数返回值小于0表示在奇异值分解过程,
//中迭代值超过了60次还未满足精度要求.
//返回值大于0表示正常返回。
//a-长度为m*n的数组,返回时其对角线依次给出奇异值,其余元素为0
//m-矩阵的行数
//n-矩阵的列数
//aa-长度为n*m的数组,返回式存放A的广义逆
//eps-精度要求
//u-长度为m*m的数组,返回时存放奇异值分解的左奇异量U
//v-长度为n*n的数组,返回时存放奇异值分解的左奇异量
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任意阵列输出数据的协方差进行奇异值分解,求出特征值和特征向量,利用信号子空间和噪声子空间的正交性,构造空间谱函数-Arbitrary array output data covariance singular value decomposition, eigenvalues and eigenvectors obtained using the signal subspace and noise subspace orthogonality spectral function space con
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最小二乘估值的SVD分解计算方法,本程序可将最小二乘估值问题转化为超定方程组的问题处理,且可用奇异值分解的方法计算最小二乘问题。-Least Squares Estimates of the SVD decomposition method, the valuation process can be transformed into squares overdetermined equations deal with the problem, and can be calculated sing
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signal processing based on multilinear algebra,国外的学者的博士论文,主题关于信号处理最前沿的课题之一:平行因子分解(PARAFAC)。主要讨论了多重线性代数,包括高阶统计量分析,高阶奇异值分解,最优秩1分解,ICA与PARAFAC之间的关系等等。-signal processing based on multilinear algebra, foreign doctoral dissertations and scholars, the subje
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OFDM经典论文,学习OFDM必看文章,是关于OFDM奇异值分解信道估计的。-OFDM classic paper, learning OFDM must-see article, is the About OFDM singular value decomposition of channel estimation.
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潜在语义准备,包括文档变换,SVD(奇异值分解)等方法。-Latent Semantic prepared, including document conversion, SVD (singular value decomposition) and other methods.
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