搜索资源列表
svd
- 奇异值分解算法的m代码，实现了数字水印技术的嵌入及提取过程，效果不错。-Singular value decomposition algorithm m code, the realization of the digital watermark embedding and extraction technology process, good results.
hybriddwtandsvdvideowatermarking
- hybrid wavelet - SVD based video watermarking in secure domain-hybrid wavelet- SVD based video watermarking in secure domain
biometric
- This matlab code is for paper "Biometric Image Integrity Authentication Based on SVD and Fragile Watermarking"
zhiluanSVD
- 数字水印matlab程序，只是简单的svd跟最简单的置乱方法Arnold的应用。没有用到小波算法。上传的dwt_svd_GUI.rar是完整的数字水印算法，用的是混沌加密。-Matlab digital watermarking process, with the svd simply the easiest way to Arnold scrambling applications. Wavelet algorithm is not used. From the dwt_svd_GUI.rar
svdsim.m
- Computes SVD using QR
imgdenoising
- 均值滤波去噪，中值滤波去噪以及SVD去噪-Mean filter denoising, median filtering and denoising SVD Denoising
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
Untitled
- 利用MATLAB 实现SVD特征提取和人脸重构-Use MATLAB to achieve SVD Face Feature Extraction and Reconstruction
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
FaugerasHomographyDecomposition
- Homography matrix can be decomposed into Pose and plane parameters, This code implements the simple algorithm based on SVD called Faugeras algorithm
Jama-1.0.1
- SVD(奇异值分解)源码，Java版，有相关演示实例。-SVD (singular value decomposition)-source, Java version, there are examples of the relevant presentation.
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
SVD
- fortran code for Singular value decomposition
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
svd
- 英文讲义，详述国外通讯课程中成分分析中的精华-With English notes, detailing the curriculum components analysis of foreign communications in the essence of
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.
Complex_SVD
- 实数矩阵及复数矩阵的SVD dgesvd：实数矩阵的SVD程序 cgesvd：单精度复数矩阵的SVD程序 zgesvd：双精度复数矩阵的SVD程序-SVD of complex matrix: dgesvd：for real matrix cgesvd：for float complex matrix zgesvd：for double complex matrix