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Terry tao介绍cs文章
- 介绍cs压缩感知的文章
L1算法
- 解决压缩感知的的L1番薯的L1算法代码大合集
Compressive-sampling
- Emamnuel J. Candès∗ 写的关于压缩感知的文章，英文版-Compressive sampling write by Emamnuel J. Candès∗
CS_recovery_algorithms
- 压缩感知常见算法参考文献，包括：BP,MP,OMP,ROMP,StOMP,CoSaMP,SP-Perception of common compression algorithm references, including: BP, MP, OMP, ROMP, StOMP, CoSaMP, SP
cs
- 里面包含着一些CS的基本理论知识，对于那些搞压缩感知的人是很有帮助的-CS which contains some basic theoretical knowledge, for those who engage in compressed sensing is helpful. . .
exact_signal_reconstruction_from_highly_incomplete
- exact_signal_reconstruction_from_highly_incomplete 压缩感知 压缩传感。 证明了压缩感知的可行性-exact_signal_reconstruction_from_highly_incomplete compressed sensing compressed sensing. Proved the feasibility of compressed sensing
Demo_MWC
- 稀疏信号的压缩感知算法，将宽带稀疏信号通过压缩感知的方法压缩为窄带信号便于传输。-Sparse signal compressed sensing algorithm broadband sparse signals compressed by compressive sensing method for narrowband signals for transmission.
1
- 稀疏表达：向量、矩阵与张量.doc，对于学习压缩感知、稀疏表示的人有帮助-Sparse expression: Vector, matrix and tensor. Doc, for learning compressed sensing, sparse representation of the people to help
Candes_Tao06
- Candes_Tao的关于压缩感知的文章，英文版-The article about CS write by Candes_Tao
DantzigSelector
- Emmanuel Candes† and Terence Tao写的关于压缩感知的文章-The Dantzig selector: statistical estimationwhen p is much larger than n Emmanuel Candes† and Terence Tao]
Bayesian_compressive_sensing
- 贝叶斯压缩感知算法的经典文献，相关研究必看-Bayesian algorithm for compressed sensing of the classic literature, relevant research must see
UWB-channel-estimation-based-on-BCS
- 基于贝叶斯压缩感知的一种极宽带信道的估计-A compressed sensing based on Bayesian very broadband channel estimation
monixinxizhuanhuan
- 关于压缩感知方面的资料，介绍模拟信息转换的，很不错-On compressed sensing aspects of information on the conversion of analog information, very good
CS
- 自己总结的压缩感知基本理论,开始研究的通知关注啦。-Own summary of the basic theory of compressed sensing.
Compressed sensing
- 详细介绍压缩感知的书籍，PDF格式。。。。。(A detailed descr iption of the compressed - aware books, all of the PDF format)
Compressed+Sensing+Theory
- 压缩感知英文入门书籍 详细介绍关于压缩感知的基本理论与前沿发展(Introduction to Compression Percepts in English: a brief introduction to the basic Theory and Frontier Development of Compression perception)
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)
基于压缩感知的OFDM系统时域稀疏信道研究.doc
- 基于压缩感知的OFDM系统时域稀疏信道研究.doc