搜索资源列表
矩阵所有运算
- 矩阵的转置、行列式、秩,逆矩阵求法,矩阵的三角分解、qr分解,对称正定矩阵的乔里斯基分解及行列式值,奇异值分解,广义逆的奇异值分解,矩阵特征值与特征向量的各种计算方法-all kinds of computational method of transposition of matrix, determinant, rank, inverse of matrix,triangle decomposition, qr decomposition, cholesky decomposition an
InvMat
- 利用矩阵的奇异值分解压缩图像,先将图像分块,对各块中的每个对应象素内积得到相关矩阵A,然后对A进行奇异值分解,选择n(n<N)个较大的特征值对应的特征向量,利用该向量与各块图像内积来压缩和恢复图像-matrix of singular value decomposition image compression, image first block of the block of each pixel corresponding to be associated with the plot
tusvd
- 图像的奇异值分解,并将图像重构出来,看其效果的变换-image of the singular value decomposition, and image reconstruction, and look at the effect of the change
mathcompute
- 使用C#编辑的一些矩阵运算的源程序,包括矩阵奇异值分解,还有一些示例。
jacobi
- 雅克比过关法算法求矩阵的奇异值分解,是雅克比算法的优化,提高计算速度
SVD
- 自己编写的奇异值分解程序,希望与大家交流一下
Prediction_of_Chaotic_Time_Series_Using_Singular_V
- 基于奇异值分解的混沌时间序列Volterra预测
qiyizhi
- 奇异值分解的matlab程序,可以利用此svd程序对一维信号进行除噪运算。
cusvd_by_ZhangShu
- 在cuda上进行奇异值分解,采用Hestens 方法,与cpu相比加速4-5倍-svd in cuda
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
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.
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.)
图像模式识别svd(奇异值分解)算法及图像相似度计算delphi源代码
- 图像模式识别svd(奇异值分解)算法及图像相似度计算delphi源代码-Calculate the image similarity
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)
奇异值确定K
- 根据奇异值分解出来的奇异值,画出奇异值分布曲线,根据公式算出奇异值的突变点,此时突变点即是VMD分解分量数的K值(According to the singular value decomposed by singular value, the distribution curve of singular value is drawn, and the mutation point of singular value is calculated according to the formula.