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这是一个基于图像角点检测并结合奇异值分解实现立体图像中角点匹配的算法。-This is an image corner detection based on singular value decomposition in combination to achieve three-dimensional image corner point matching algorithm.
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SVD (奇异值分解) fortran下的奇异值分解代码，可以完成矩阵的奇异值分解以及基于奇异值分解的图片压缩-Singular Value Decomposition
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基于奇异值分解的自适应图像去噪新方法,主要是将全局子空间信息整合到局部偏差选择式子中-Adaptive Denoising by Singular Value Decomposition，By incorporating
a global subspace analysis into the scheme of local
basis selection
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基于奇异值分解的灰度图像压缩算法，分析得到的结果较合理，详见程序-Based on singular value decomposition of gray image compression algorithm, results more reasonable, as shown in the program
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基于离散余弦变换的灰度图像压缩算法，效果介于小波变换和奇异值分解之间。-Based on the discrete cosine transform grayscale image compression algorithm, the effect between the wavelet transform and singular value decomposition between
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In many cases where Gaussian elimination and LU decomposition fail to give satisfactory results, this set of techniques, known as singular value decomposition, or SVD, will diagnose for you precisely what the problem is. In some cases, SVD will not o
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it is the matlab source code for face recognition using singular value decomposition. this will help everybody to recognize the input face compare with database saved face.
for any problem:Contact me:
aminul07cse@yahoo.com
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Query quality refinement in singular value decomposition to improve genetic algorithms for multimedia data retrieval
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稀疏编码，去噪，奇异值分解 MATLAB-Sparse coding, denoising, singular value decomposition MATLAB
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对矩阵的奇异值分解，信号的解卷积，信号的调制-matrix singular value decomposition，deconvolution，modulation
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使用matlab编写的用wolf法求Lyapunov指数的算法程序
假近邻法(False Nearest NeighborFNN)计算嵌入维的Matlab程序
一类基于奇异值分解的Lyapunov指数计算方法-Matlab program using Matlab prepared wolf method and the Lyapunov exponent of the false nearest neighbor algorithm program (False Nearest Nei
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使用QR分解算法的奇异值分解源代码及注释-Singular value decomposition using the QR decomposition algorithm source code
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基于dct的截断奇异值方法(TSVD)方法的源代码-TSVD: Truncated Singular Value Decomposition: TSVD
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基于fft的截断奇异值分解 （TSVD）正则化方法-TSVD: Truncated Singular Value Decomposition: TSVD
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A novel higher order singular value decomposition (HOSVD)-
based image fusion algorithm is proposed. The key points are given as follows:
1) Since image fusion depends on local information of source images,
the proposed algorithm picks out info
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一般实矩阵的奇异值分解，功能检验通过，大家放心使用-Real matrix singular value decomposition, functional tests have been passed, we rest assured that the use
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矩阵的奇异值分解，程序编写比较公正，可读性强-The singular value decomposition, programming fair, readable
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SVD奇异值分解法，用于解大型线性方程组-SVD singular value decomposition method for solution of large linear systems of equations
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LAPACK，其名為Linear Algebra PACKage的縮寫，是一以Fortran程式語言寫就，用於數值計算的函式集。 LAPACK提供了豐富的工具函式，可用於諸如解多元線性方程式、線性系統方程組的最小平方解、計算特徵向量、用於計算矩陣QR分解的Householder轉換、以及奇異值分解等問題。-LAPACK (Linear Algebra PACKage) is a software library for numerical linear algebra. It provides
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可实现的算法：软件说明：
1.全主元高斯约当消去法2.LU分解法3.追赶法4.五对角线性方程组解法5.线性方程组解的迭代改善6.范德蒙方程组解法7.托伯利兹方程组解法8.奇异值分解9.线性方程组的共轭梯度法10.对称方程组的乔列斯基分解法11.矩阵的QR分解12.松弛迭代法第2章插值1.拉格朗日插值2.有理函数插值3.三次样条插值4.有序表的检索法5.插值多项式6.二元拉格朗日插值-The algorithm can be realized: Software Descr iption:
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