搜索资源列表
Singular-Value-Decomposition-(SVD)
- 奇异值分解，线性代数中一种重要的矩阵分解，是矩阵分析中正规矩阵酉对角化的推广。在信号处理、统计学等领域有重要应用。 -Singular Value Decomposition (SVD)
SVD-TLS-LS
- SVD-TLS和LS方法估计AR模型功率谱,假定仿真的观测数据由 产生，其中w(n)是一高斯白噪声，其均值为0，方差为1，并取n=1,…..,128，这里分别用LS方法和SVD-TLS方法估计观测数据的AR模型参数。-SVD-TLS and the LS method to estimate AR model for power spectrum, assuming that the simulation produced by the observed data, where w (n) is
DWTPSVD
- 用小波+SVD变换实现水印的提取和嵌入并且具有良好的鲁棒性-use DWT+SVD to chieve watermark extract and embed，it has goog robust
wavemarksvd
- 本函数将完成W—svd模型下数字水印的嵌入，即经典的W-SVD数字水印算法-This function will finish W- SVD model under the embedded watermark, namely classic W- SVD watermarking algorithm is proposed
dwt_svd
- 一个基于dwt,svd的图像水印嵌入算法-code for a image watermarking embeding based matlab
shoushou-svd
- svd程序 首先是householder变换为上双对角矩阵，然后再是QR分解得到奇异值-svd C++
svd
- 数学建模中svd算法实现正交矩阵的分解讲义及c++代码-Mathematical modeling of orthogonal matrix svd decomposition algorithm c++ code and lecture notes
SVD_feature_extraction
- svd feature extraction
Face-Recognition
- Face Recognition By PCA using SVD technique .
svd
- SVD奇异值分解,在气象学中常用于分析两个场之间的联系-SVD singular value decomposition, in the meteorology field often used to analyze the link between the two
cgsvd
- 改程序产生一个广义的奇异值分解。对于奇异方程而言，改方法非常有效。可以迅速求解方程。CGSVD Compact generalized SVD of a matrix pair in regularization problems-Change the program to generate a generalized singular value decomposition. For the singular equation, the change method is very effect
svd
- 用于矩阵的奇异值分解，解决了自己计算的复杂度-For matrix singular value decomposition to solve their computational complexity
reduce-dimention-of-face-recognition
- 在人脸识别中的降维问题，应用PCA和SVD等方法来分析和解决-Dimensionality reduction in face recognition problems, the application of methods such as PCA and SVD to analyze and solve
SVD-PINV-VCPP
- 奇异值分解求广义逆,有测试数据，和MATLAB比较精度0.00001-Generalized inverse of singular value decomposition of demand, with test data, and MATLAB more precision 0.00001
FeatureExtract
- svd with LDA face recognition feature extraction
matlab-SVD
- 该实例程序的作用是奇异值分解，输入预进行奇异值分解的矩阵，便可以直接运行-The sample program is the role of singular value decomposition, the singular value decomposition of the input pre-matrix, we can run
DWT-SVD
- DWT-SVD Watermarking
mmse-svd
- 信道估计中两种经典算法的对比，MMSE和SVD-MMSE，上传的为验证过的函数程序，自行补充-Channel estimation in two classic algorithms in contrast, the MMSE and SVD-the MMSE, upload function for proven program to complement their own
SVD
- This code compress image with SVD
svd
- 矩阵奇异值分解的svd算法的解析和评估。综述了三种方法进行奇异值分解。特点不一 有适合嵌入式系统用的-svd juzheng