computing Singular value of matrix by iteration
标签： computing iteration Singular matrix
上传时间： 2014-01-16
上传用户：lx9076
通过奇异值分解实现的最小二乘拟合算法 inear least-squares fit by Singular value decomposition
标签： decomposition least-squares Singular inear
上传时间： 2015-07-26
上传用户：bibirnovis
为了提高数字水印抗击各种图像攻击的性能和保持图像的稳健性和不可见性，提出了一种基于离散小波变换（DWT），SVD（Singular value decomposition）奇异值分解水印图像和原始载体图像的离散余弦变换（DCT）的自适应水印嵌入算法，主要是将水印图像的两次小波变换后的低频分量潜入到原始图像分块经过SVD分解的S分量矩阵中，同时根据图像的JPEG压缩比的不同计算各个图像块的水印调节因子。实验证明该算法在抗击JPEG压缩、中值滤波、加噪等均具有很好的鲁棒性，嵌入后的图像的PSNR达到38，具有良好的视觉掩蔽性
标签： 数字水印算法
上传时间： 2013-10-09
上传用户：ca05991270
The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar-rotation algorithm is used to update the QR- factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for Singularities which is simpler and quicker than calculating the Singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill- conditioned problems, such as fitting polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back-substitution routine BKSUB2 which it calls, the routines behave as in AS 274.
标签： least-squares unconstrained Statisti Applied
上传时间： 2015-05-14
上传用户：aig85
％ COMPDIR Computes a search direction in a subspace defined by Z. ％ Helper function for NLCONST. ％ Returns Newton direction if possible. ％ Returns random direction if gradient is small. ％ Otherwise, returns steepest descent direction. ％ If the steepest descent direction is small it computes a negative ％ curvature direction based on the most negative eigenvalue. ％ For Singular matrices, returns steepest descent even if small.
标签： Z. direction Computes function
上传时间： 2014-01-24
上传用户：Thuan
Solutions are obtained for Poissson, diffusion, or wave PDEs homogeneous or nonhomogeneous equations and/or boundary conditions rectangular, cylindrical, or spherical coordinates time, Laplace, or frequency domains Dirichlet, Neumann, Robin, Singular, periodic, or incoming/outgoing boundary conditions. Output is suitable for pasting into LaTeX documents.
标签： nonhomogeneous homogeneous Solutions diffusion
上传时间： 2015-10-30
上传用户：JasonC
In the field of biometrics, palmprint is a novel but promising technology. Limited work has been reported on palmprint identification and verification, despite the importance of palmprint features. There are many unique features in a palmprint image that can be used for personal identification. Principal lines, wrinkles, ridges, minutiae points, Singular points, and texture are regarded as useful features for palmprint representation.
标签： biometrics technology palmprint promising
上传时间： 2016-04-02
上传用户：duoshen1989
Image Compression A collection of simple routines for image compression using different techniques. 图象压缩的不同方法 BTCODE: Image compression Using Block Truncation Coding. PYRAMID: Image compression based on Gaussian Pyramids. DCTCOMPR: Image compression based on Discrete Cosine Transform. IMCOMPR: Image compression based on Singular Value Decomposition. The given codes can be also used in 2D noise suppression. Notes: The function "conv2fft" performs a 2D FFT-based convolution. Type "help conv2fft" on Matlab command window for more informations.
标签： Compression compression collection different
上传时间： 2016-05-11
上传用户：磊子226
Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course in numerical methods, Matlab, and technical computing. The emphasis is on in- formed use of mathematical software. We want you learn enough about the mathe- matical functions in Matlab that you will be able to use them correctly, appreciate their limitations, and modify them when necessary to suit your own needs. The topics include * introduction to Matlab, * linear equations, * interpolation, * zero and roots, * least squares, * quadrature, * ordinary di?erential equations, * random numbers, * Fourier analysis, * eigenvalues and Singular values, * partial di?erential equations.
标签： introductory Numerical Computing textbook
上传时间： 2016-07-04
上传用户：思琦琦
Toolbox for Numerical Computing with MATLAB （by Cleve Moler). Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course in numerical methods, Matlab, and technical computing. The emphasis is on in- formed use of mathematical software. We want you learn enough about the mathe- matical functions in Matlab that you will be able to use them correctly, appreciate their limitations, and modify them when necessary to suit your own needs. The topics include * introduction to Matlab, * linear equations, * interpolation, * zero and roots, * least squares, * quadrature, * ordinary di?erential equations, * random numbers, * Fourier analysis, * eigenvalues and Singular values, * partial differential equations.
标签： Numerical Computing MATLAB with
上传时间： 2014-01-01
上传用户：guanliya
