搜索资源列表
SVD-TLS
- 巧妙的运用matlab控件自编程序！很有意思哦！在信号分析领域用途广泛！-clever use of Matlab self control procedures! Very interesting! In the field of signal analysis of a wide range of uses!
SVD
- 根据奇异值分解的基本原理及其特点，给出了运羽奇异值分解进行图像压缩的方法．通过简单的例子说明了该方法进行图像压缩的基本过程，给出了压缩流程．并通过MATLAB编程对实际图像进行处理，表明了该方法的有效性．
ESPRIT-TLS.rar
- 用于谐波恢复的ESPRIT方法的SVD-TLS的程序实现，并进行了信号的谐波的恢复仿真实验,For the ESPRIT harmonic retrieval method of SVD-TLS program and conducted the restoration of harmonic signals in simulation
CodeBook
- Code MATLAB in S. Theodoridis, A. Pikrakis, K. Koutroumbas, D. Cavouras - Introduction to Pattern Recognition: A MATLAB Approach
W-SVD
- SVD图像处理，MATLAB程序 变换域小波处理程序-SVD image processing, MATLAB wavelet transform domain processing procedures
svd_right_rate
- 基于SVD的人脸识别，可以直接计算出识别正确率-SVD-based face recognition, and can directly calculate the correct rate of recognition
SVD_TLS
- 一种用总体最小二乘法来估计ARMA模型的实例，在MATLAB中进行了仿真，附有MATLAB仿真程序-A total least squares method to estimate the ARMA model examples were carried out in the MATLAB simulation, with a MATLAB simulation program
pic_svd
- 一个图像的奇异值分解的matlab小程序-a program about image SVD with matlab
zhijieyouqiyizhixiangliangpipeishibiesuanfa
- 基于奇异值的人脸识别,开发环境为MATABL,图像库最后用ORL-face recognition based on svd
3
- 摘要:为了提高图像复原算法的性能 ,提出了一种改进的奇异值分解法估计图像的点扩散函数。从图像的退化离散模型 出发 ,对图像进行逐层分块奇异值分解 ,并自动选取奇异值重组阶数以减少噪声对估计的影响。利用理想图像奇异值向 量平均能谱指数模型 ,估计点扩散函数奇异值向量的频谱 ,再反傅里叶变换得到其时域结果。实验结果表明 ,该方法能 在不同信噪比情况下估计成像系统的点扩散函数 ,估计结果比原有估计方法有所提高 ,有望为图像复原算法的预处理提 供一种有效的手段。-Abstract : T
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
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
FaugerasHomographyDecomposition
- Homography matrix can be decomposed into Pose and plane parameters, This code implements the simple algorithm based on SVD called Faugeras algorithm
svdgui
- SVDGUI演示了计算任何实矩阵的奇异值的步骤-SVDGUI Demonstrate the computation of the SVD. SVDGUI(A) shows the steps in the computation of the singular value decomposition of any real matrix.
SVDBasedImageQualityMeasure
- Source code svd in matlab
SpectAnalisis
- 通过最小二乘法及SVD-TLS法对同一谱进行了功率谱分析，并比较了不同阶数下，最小二乘法的效果-By least-squares method and SVD-TLS method to the same spectra of the power spectrum analysis, and compare the number of different bands under the effect of least-squares method
SVDTLS
- 用SVD-TLS法进行的AR参数估计并用Cadzow谱估计子估计出信号的功率谱密度。-With the SVD-TLS method of AR parameter estimation and spectral estimation Cadzow child with estimated signal power spectral density.
SVDFLITER
- SVD滤波方法，主要是通过对信号进行奇异值分解，将噪声部分的值归零，再进行信号的重构，顺利地进行滤波。(SVD filtering method, mainly through singular value decomposition of the signal, the noise part of the value of zero, and then signal reconstruction, smoothly filtering.)