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。
用matlab编写的实现Lagrange插值函数
- 用matlab编写的实现Lagrange插值函数和三次样条插值函数，输入值为x向量和对应的y向量，输出函数图像,Matlab prepared with the realization of Lagrange interpolation function and cubic spline interpolation function, type the value of x vector and the corresponding y vector, the output function of
imcompress
- 基于奇异值分解（SVD）的图像压缩算法matlab实现-Based on singular value decomposition (SVD) to achieve image compression algorithm matlab
jama
- 使用Java实现的矩阵类库，包括各种常用的功能，很强悍~-The use of Java class libraries to achieve the matrix, including a variety of commonly used functions, very tough ~
main
- 用C语言实现矩阵的SVD分解算法实例 很有用-Using C language SVD matrix decomposition algorithm is useful examples
12345
- 彩色数字水印的程序，实现在彩色图像中通过DCT变换来嵌入水印信息-Color digital watermarking process to achieve the color image by DCT transform to embed watermarks
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 background suppression and de-noi
SVD_TLS
- 使用自编函数基于奇异值分解总体最小二乘法（svd-tls）实现AR模型谱估计 -The use of self-functions in general based on singular value decomposition least square method (svd-tls) to achieve AR model spectrum estimation
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
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 DOA)
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 approximate approximation)
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)