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压缩感知图像压缩MATLAB实现
- 压缩感知的图像压缩MATLAB实现
压缩感知CoSaMP重构算法
- 压缩感知CoSaMP重构算法，matlab编码实现，很有用的学习资料
minL1.rar
- 求解L-1范数最小,利用线性规划算法，实现压缩感知的功能,min L-1 norm
dct_cs
- 采用BP算法来实现压缩感知的信号重构示例。BP算法由线性规划来实现，稀疏基为DCT基，信号为语音信号-an example of using BP algorithm for signal reconstruction in compressed sensing. BP algorithm is implemented by linear programming, sparse basis is the DCT basis, the signal used is speech
BCS_MP
- 压缩感知的仿真程序，此程序使用OMP算法，实现对一维输入信号的重构-This package includes 2 folders. Folder mp contains mp algorithmn and Folder omp contains omp algorithmn 。
compress edsensing OMP
- 压缩感知 正交匹配追踪一些人关心压缩感知与雷达成像，他们把稀疏表示放在最重要的地方，以为在雷达成像中成功实现压缩感知关键是稀疏表示； 事实上并不是如此。我们知道：压缩感知需要建立AX=B,且该方法具有较低的抑制信噪比能力；另外雷达成像的基础是雷达 信号与目标的相互作用，也就是电磁波与介质的相互作用，该相互作用是一个非常复杂的非线性问题，因此研究这个问题与 压缩感知的关系才是解决雷达成像问题的关键点所在。从另外一个角度来看，雷达成像中惯用的方法是匹配滤波，
CS_OMP
- 21世纪新兴学科信号压缩感知的一个简单的实现例子-Emerging discipline in the 21st century perception of signal compression to achieve a simple example of
CS_OMP
- 压缩感知的一个经典算法，即正交匹配追踪，在MATLAB7.0下已实现-Perception of a classical compression algorithm called orthogonal matching pursuit, had been achieved in the MATLAB7.0
Compressive-Sensing
- 压缩感知简介,包括压缩感知具体实现过程，最基本的原理说明-compressive sampling
CS-Image-Rebuild
- 关于压缩感知重构算法，基于压缩感知的图像重建的实现-Compressed sensing image reconstruction based on the realization of
CS_OMP
- 压缩感知方法演示，1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构-1-D signal is compressed sensing to achieve (orthogonal matching pursuit method Orthogonal Matching Pursuit) number of measurements M> = K* log
OMP
- 压缩感知的正交匹配追踪重构算法matlab实现(Matlab implementation of orthogonal matching pursuit reconstruction algorithm for compressed sensing)
bcs-spl-1.5-1
- 实现图像分块压缩感知，实现了多种稀疏基下的压缩感知，包含CT、DCT、DDWT、DWT等(Realize the image compression sense, and realize a variety of sparse base compressed sensing, including CT, DCT, DDWT, DWT and so on)
gOMP
- 广义正交压缩感知的代码，实现了压缩感知与图像的重构(Generalized orthogonal compressed sensing code, to achieve compressed sensing and image reconstruction)
watermark
- 本程序功能为实现基于压缩感知的数字图像水印算法，主要包括水印嵌入、水印提取及子程序三大部分。水印载体图像和原水印图像使用者可以自行更改。(This program functions for the realization of compression based digital image watermarking algorithm, including watermark embedding, watermark extraction and subroutines three major
压缩感知重构算法之SP算法python实现
- 压缩感知Sp算法，python实现，图像处理方向的，可以改变为信号处理，可以极好的重构出原图像。(Compressed sensing Sp algorithm, python implementation)
matlab_program
- 可以进行压缩感知的图形处理，是一部分进行压缩感知处理的图形实例和去噪处理，是现在的一部公开课的编程部分资料，可以实现简单的压缩感知图形采样的应用(Graphics processing with compressed sensing can be used as a Graphics instance and denoising part of compressed sensing processing. Now it is a programming part of an open class
l1magic
- 实现压缩感知的稀疏信号恢复，采用L1范数约束最小化策略(Sparse signal recovery with compressed sensing, by using the L1 norm constraint minimization strategy)
doa-limagic
- 基于压缩感知的一种信号重建方法，l1magic工具包，利用此种方法实现压缩感知理论。(A Signal Reconstruction Method Based on Compressed Sensing,l1magic)
压缩感知
- 本文分别以稀疏基有离散余弦变换基（DCT）和快速傅立叶变换基（FFT）做为稀疏基，高斯随机矩阵、部分哈达玛矩阵为测量矩阵，L1范数、正交匹配追踪算法（OMP）为重建算法进行压缩感知算法实现。(In this paper, DCT and FFT are used as sparse basis, Gauss random matrix and partial Hadamard matrix are used as measurement matrix, L1 norm and OMP are u