搜索资源列表
chengxu
- 这是基于PCA的人脸识别，用MATLAB编写，包含了K-L变换，奇异值分解等方法，且采用了最小距离分类器-This is based on the PCA face recognition, using MATLAB to prepare, including the KL transform, singular value decomposition and other methods, and the use of the minimum distance classifier
musicF1
- 任意阵列输出数据的协方差进行奇异值分解，求出特征值和特征向量，利用信号子空间和噪声子空间的正交性，构造空间谱函数-Arbitrary array output data covariance singular value decomposition, eigenvalues and eigenvectors obtained using the signal subspace and noise subspace orthogonality spectral function space con
svd_rar
- 奇异值分解/广义逆矩阵的svd算法代码,在解线性方程时用得上-svd siglar value decomposition
matrix
- 实现复数矩阵的基本运算，并能实现复数矩阵的求逆、快速傅里叶变换和奇异值分解等-The realization of the basic computing complex matrix, and can achieve complex matrix inversion, fast Fourier transform and singular value decomposition and so on. . . .
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.
hundun_svd_0525
- 效果非常好的数字水印的源代码，实现了基于小波变换的奇异值分解算法，选取载体图像的LH子带作为载体，并进行攻击测试算法性能-The effect of a very good source of digital watermarking, wavelet transform based on the realization of the singular value decomposition algorithm, select the carrier of the LH sub-band ima
duoyuanhuigui
- 多元回归分析中的奇异值分解方法 -Multiple regression analysis of the singular value decomposition method
SVT_MostRecent
- svt is algorithm that calculate a matirx from the part of it s elemets . it is can be applied to image processing when part image was lost.是一个算法，知道部分矩阵元素，计算整个矩阵的方法。该方法主用是借助奇异值分解和Bregman算法，可很快完成计算。可以用于图像数据缺损的情况。-svt is algorithm that calculate a mati
qiyizhi
- 矩阵的奇异值分解，ap为是矩阵a，up返回左奇异值，vp返回右奇异值-Matrix singular value decomposition, ap is the matrix for a, up to return the left singular value, vp return the right singular value
svdasu
- 其后分析中常用的奇异值分解（SVD）方法的fortran程序。-Commonly used in the subsequent analysis of the singular value decomposition (SVD) method fortran program.
svd
- 矩阵的奇异值分解，程序编写比较公正，可读性强-The singular value decomposition, programming fair, readable
MVDR
- 何子述《现代信号处理及其应用》第6章课后习题代码，基于奇异值分解的MVDR方法进行信号频率估计的仿真实验-He sub-described " modern signal processing and its applications" in Chapter 6 Homework code MVDR method based on singular value decomposition of the signal frequency estimation simulation
SvdFit
- 奇异值分解算法，别的地方下载下来后尚未测试-Singular value decomposition algorithm
denoise
- 奇异值分解等方法对噪声进行去噪，算法简单，清晰易懂-Singular value decomposition method to noise denoising algorithm is simple, clear and easy to understand
SVD_freq
- 谱估计奇异值分解包括噪声子空间法和Music方法-singular value decomposition
奇异值分解波束形成MATLAB程序
- 奇异值分解的波束形成MATLAB代码, 很有用的程序 运行没有问题(code for SVD beamforming)
tsvdfy
- 奇异值分解反演算法，多用于简单的有损的反演算法，在信噪比比较高的情况下结果比较精确(Singular value decomposition inversion algorithm is usually used in the simple lossy inversion algorithm, and the results are more accurate in the case of high signal-to-noise ratio)
mrsvd
- 实现多分辨率奇异值分解程序,可用于故障诊断、消除噪声等(multi resolvetion svd decompotion)
SVD_fft
- 能够对信号数据进行奇异值分解进行去除噪声然后进行FFT求解频率(The singular value decomposition of the signal data can be used to remove the noise and then calculate the frequency of FFT.)
奇异值分解1
- 多层奇异值分解，解决了原始奇异值分解分辨率欠缺的问题(Multilevel singular value decomposition solves the problem of lack of resolution of original singular value decomposition)