搜索资源列表
SVD
- 自编的奇异值分解消噪程序，在消噪的同时可实现对不同频率信号分量的分离。
svd
- 一个基于奇异值分解的数字水印源代码，其中可以实现混沌之乱和奇异之分解的数字水印嵌入
svd-tls
- 谐波恢复的ARMA建模算法(基于SVD-TLS)（张贤达《现代信号处理》）。当谐波信号为复谐波的时，该算法仍然适用。但该程序中没有给出具体的实现。
svdpackc.tar
- 求矩阵奇异分解svd算法，共计4种实现方式，-for SVD matrix decomposition algorithm, for a total of four kinds of achievement,
mimo功率优化
- MIMO系统的功率优化问题，通过SVD分解和注水算法，可以实现不同发送天线上的功率分配。-MIMO system power optimization problem, and through the decomposition of water injection SVD algorithm can achieve different this antenna on the power distribution.
SVD
- 自编的奇异值分解消噪程序，在消噪的同时可实现对不同频率信号分量的分离。-Own the singular value decomposition de-noising procedure, de-noising can be achieved at the same time on different frequency signal component separation.
svd
- 一个基于奇异值分解的数字水印源代码，其中可以实现混沌之乱和奇异之分解的数字水印嵌入 -A singular value decomposition-based Digital Watermarking source code, which can be achieved Chaos chaos and singular decomposition of the digital watermark embedded
svd-tls
- 谐波恢复的ARMA建模算法(基于SVD-TLS)（张贤达《现代信号处理》）。当谐波信号为复谐波的时，该算法仍然适用。但该程序中没有给出具体的实现。-Harmonic Retrieval of ARMA modeling algorithm (based on the SVD-TLS) (Xian Tatsu Modern Signal Processing ). When the harmonic signal for the
SVD
- 线性方程的解法,实现对运动目标的检测,针对可见光图像弱小目标检测中的背景抑制和去噪问题,提出了奇异值分解(Singular Value Decomposition,SVD)-Linear equations, to achieve the detection of moving targets, in view of the weak target detection in visible light images in the bac
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.
SVD-TLS
- 功率谱估计中SVD-TLS算法的三种实现版本-Power spectrum estimation of the three kinds of SVD-TLS algorithm implementation version of the
svd
- 本程序可以实现对图像用Matlab进行奇异值分解-This program enables the images to use Matlab the singular value decomposition
dct-svd
- dct-svd域水印算法,实现数字水印图像在载体DCT-SVD域的隐藏-a kind of watermarking algorithm in DCT-SVD domain
14_W-SVD-digital-watermark-experiment
- 讲解了利用DWT-SVD，来实现水印水印，并分析了嵌入全过程-using DWt and svd to tell you a excellent idea about theway to inbed a digitalwatermark
svd算法
- SVD算法，用matlab语言实现。txt文件
L1 SVD
- 利用压缩感知实现波达方向估计，运用奇异值分解对接收信号进行降维，再利用L1范数进行估计(The DOA estimation is realized by compressed sensing, and the singular value decomposition is used to reduce the received signal, and then the L1 norm is used to estimate the D
SVD.m
- 利用SVD实现item-based CF: 优点： 简化数据，去除噪声，提高算法的结果 缺点： 数据的转换可能难以理解 适用数据类型： 数值型数据(Svd decomposition plays an important role in the decomposition of eigenvalues of high-dimensional data, while using low-dimensional data for ap
LU、QR、SVD
- 本函数可以实现矩阵的LU变换、QR变换、SVD变换，开发环境为Matlab(This function can realize the matrix of the LU transform, QR transform, SVD transform, development environment for Matlab)
svd
- svd的简单实现。用于学习。用c语言实现的。(A simple implementation of svd. Used for learning)
降维code
- 了解降维、特征筛选等基本原理 掌握PCA、SVD、LAD和NMF等算法实现及应用(Understand the basic principles of dimensionality reduction and feature selection Master the algorithm implementation and application of PCA, SVD, lad and NMF)