-
computing singular value of matrix by iteration
標簽：
computing
iteration
singular
matrix
上傳時間：
2014-01-16
上傳用戶：lx9076
-
通過奇異值分解實現的最小二乘擬合算法
inear least-squares fit by singular value decomposition
標簽：
decomposition
least-squares
singular
inear
上傳時間：
2015-07-26
上傳用戶：bibirnovis
-
為了提高數字水印抗擊各種圖像攻擊的性能和保持圖像的穩健性和不可見性，提出了一種基于離散小波變換（DWT），SVD（singular value decomposition）奇異值分解水印圖像和原始載體圖像的離散余弦變換（DCT）的自適應水印嵌入算法，主要是將水印圖像的兩次小波變換后的低頻分量潛入到原始圖像分塊經過SVD分解的S分量矩陣中，同時根據圖像的JPEG壓縮比的不同計算各個圖像塊的水印調節因子。實驗證明該算法在抗擊JPEG壓縮、中值濾波、加噪等均具有很好的魯棒性，嵌入后的圖像的PSNR達到38，具有良好的視覺掩蔽性
標簽：
數字水印算法
上傳時間：
2013-10-09
上傳用戶：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.
標簽：
least-squares
unconstrained
Statisti
Applied
上傳時間：
2015-05-14
上傳用戶：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.
標簽：
Z.
direction
Computes
function
上傳時間：
2014-01-24
上傳用戶：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.
標簽：
nonhomogeneous
homogeneous
Solutions
diffusion
上傳時間：
2015-10-30
上傳用戶：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.
標簽：
biometrics
technology
palmprint
promising
上傳時間：
2016-04-02
上傳用戶：duoshen1989
-
Image Compression
A collection of simple routines for image compression using different techniques.
圖象壓縮的不同方法
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.
標簽：
Compression
compression
collection
different
上傳時間：
2016-05-11
上傳用戶：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.
標簽：
introductory
Numerical
Computing
textbook
上傳時間：
2016-07-04
上傳用戶：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.
標簽：
Numerical
Computing
MATLAB
with
上傳時間：
2014-01-01
上傳用戶：guanliya
