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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
l1_OMP_matlab 压缩感知 L1范数最小化算法正交匹配追踪法重构信号
- 压缩感知 L1范数最小化算法正交匹配追踪法重构信号-compressive sensing L1-norm
CS_OMP
- 压缩感知信号重建的正交匹配追赶算法（omp），与bp算法相比较有叫高的精度，但是付出了计算量的代价-Compressed sensing signal reconstruction algorithm Orthogonal matching catch (omp), compared with the bp algorithm are called high precision, but at a cost of computation
compressive_sensing_Theory_and_application
- 压缩感知的介绍，深入浅出，适合初学者。-introduction of compressive sensing-Theory and application
compress-sensing
- 压缩感知相关的一些英文文献，描述了一些最前沿的研究成果-some english paper about compress sensing
CS
- 压缩感知理论及其新的进展，压缩感知理论入门资料-Compressed sensing theory and its new progress, introductory information on compressed sensing theory
cs-tutorial-ITA-feb08-complete
- 一种最新型的压缩算法，即压缩感知（compressive sensing）的介绍文档，深入迁出，对于理解CS这一个新思想有很大的帮助-The latest model of a compression algorithm, that is, perceptual compression (compressive sensing) Introduction of the document in depth to move out, for understanding the CS has a lo
Measurements
- 压缩感知中一种测量方法。介绍如何构造测量矩阵。-Compression in a perceptual measurement method. Introduce how to construct measurement matrix.
Compressive_Sensing
- lp范数最小化求解的问题，关于压缩感知的最新文档-lp-norm minimization problem solving, perception of the latest documentation on the compression
Wavelet_OMP
- 运用压缩感知的原理对图片进行处理 并通过正交匹配追踪法进行图像的重构-compressed sensing for colour image and the reconstruction by OMP
61549844cs_exam
- 压缩感知中的正交匹配追踪法重构一维离散信号-Compressed sensing method in the orthogonal matching pursuit signal reconstruction
ThePhysicsofCompressieSensing
- 一篇关于压缩感知理论及其算法实验的英文资料-A perception on the compression algorithm theory and its experimental information in English
compressive-sensing
- 压缩感知经典论文 compressive sensing-Compressed sensing classic essay compressive sensing
compressive_sensing-Donoho
- compressive sensing Donoho 压缩感知 压缩传感。 是Donoho等人证明了压缩感知的可行性-compressive sensing Donoho compressed sensing compressed sensing. Donoho, who is the proves the feasibility of compressed sensing
A-REMARK-ON-COMPRESSED-SENSING
- 一篇关于压缩感知的经典文章，压缩感知（Compressed sensing，简称CS，也称为Compressive sampling)理论异于近代奈奎斯特采样定理，它指出：利用随机观测矩阵可以把一个稀疏或可压缩的高维信号投影到低维空间上，然后再利用这些少量的投影通过解一个优化问题就可以以高概率重构原始稀疏信号，并且证明了这样的随机投影包含了原始稀疏信号的足够信息。-A classic article on compressed sensing, compressive sensing (Comp
2006Compressed-Sensing
- 有关压缩感知基本过程的详细讲解，包括稀疏矩阵-Perception about the basic process of compression explain in detail, including the sparse matrix
cs-theory-and-its-progress
- 压缩感知的最新进展，该篇讲的简单易懂，适合初学者 -The latest developments in compressed sensing, the article stresses the simple to understand for beginners
CS
- 适合初学者的压缩感知的程序，简单明了，便于理解压缩感知的整个数据流程-Compressed sensing for beginners program, simple, easy to understand the whole data flow of compressed sensing
cs_research
- 简要分析了压缩感知中的几个重要定理，有一定的借鉴作用。-This paper talks about some important theories in compressive sampling.
压缩感知分块程序
- 很好的压缩感知学习资料，相互借鉴学习，相互交流。希望有志者多多上传也