搜索资源列表
opencvsvd
- 关于openCV的一个使用实例用opencv做矩阵的SVD分解-opencv svd
CH4
- L4_1.m: SVD轉換(程式) L4_2.m: 影像轉換的能量集中能力(程式) L4_3a.m: 小波轉換之多重解析架構(程式) L4_3b.m: 小波轉換係數與影像的方向性(程式) energy.m: 能量集中(函式) L4_1.bmp: 影像檔 L4_2.bmp: 影像檔 L4_3b.bmp: 影像檔 woman.mat: Matlab的矩陣變數檔 -L4_1.m: SVD conversion (program) L4_2.m: image con
yasuo
- 一种新的基于matlab环境的用SVD原理实现图像压缩的源程序，程序简单易懂-Implementation of new image compression using SVD, the program easy to understand
lo
- This application can make a comparative analysis of two images using different methods: Logical Operators and singular value decomposition (SVD). In conclusion, with this work we have tried to collect a few methods for differentiating tex
svd
- 用matlab中的SVD函数实现线阵或圆阵的music算法的仿真-use svd function to perform music
svdpackc.tar
- svd 算法代码 This directory contains instrumented SVDPACKC Version 1.0 (ANSI-C) programs for compiling within the "svdrun" scr ipt. The "svdsum" scr ipt can be run after all output files of the form <dataset>.outN, where N=1,2,... have been
svd
- Singular value decomposition - method for calculating singular matrices-Singular value decomposition- method for calculating singular matrices
hybriddwtandsvdvideowatermarking
- hybrid wavelet - SVD based video watermarking in secure domain-hybrid wavelet- SVD based video watermarking in secure domain
svdsim.m
- Computes SVD using QR
Digital_Signal_Processing_using_MATLAB
- 现代数字信号处理MATLAB仿真,5道经典习题，主要有LMS算法、RLS算法、SVD算法、MVDR算法-Digital Signal Processing using MATLAB
CLAPACK3-Windows
- LAPACK是用Fortran90和规定套路解决系统同步线性方程组，最小二乘解线性方程组，特征值问题，以及奇异值问题。相关的矩阵分解（陆，乔莱斯基，快速反应，分解，舒尔，广义Schur ）也提供了，因为有关的计算，如重新安排的舒尔分解和估计条件号码。致密带状矩阵的处理，而不是一般稀疏矩阵。在所有领域，类似的功能是提供真正的和复杂的矩阵，在单，双精度-LAPACK is written in Fortran90 and provides routines for solving systems o
wavemarksvd
- 利用svd的一种水印方法。SVD即奇异值分解(Singular Value Decomposition)算法。 -A watermarking method using svd. Singular value decomposition SVD that (Singular Value Decomposition) algorithm.
svd_image
- This matlab code for SVD based image watermarking -This is matlab code for SVD based image watermarking
single
- 使用奇异值分解来帮助求解最小二乘问题，特别是在方程系数矩阵不满秩的情况下。-SGELSD computes the minimum-norm solution to a real linear least * squares problem: * minimize 2-norm(| b- A*x |) * using the singular value decomposition (SVD) of A. A is an M-by-N * matrix which
SVDcode
- This code is about SVD method in seismic.
SVD
- 实矩阵奇异值分解，可控制技术精度，被其他程序调用的子程序。-Real matrix singular value decomposition, can control the precision,be used by other programs called subroutines.
SVD_on_Matlab
- SVD algorithm implementation in Matlab
ecg1
- ecg filter, svd, filter 128 hz and 256 hz
Eigenfaces
- Eigenfaces tests for grayscale images using PCA and SVD