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bcs_vb.zip
- 一个基础贝叶斯变换的压缩感知，包含一个源代码和一个一维信号处理的例子和两个二维图像的例子,The basic BCS implemented via a variational Bayesian approach. The package includes the core VB-BCS code, one example of a 1-dimensional signal and two examples of 2-dimensional images.
BCS_
- 贝叶斯压缩感知的仿真程序，此程序使用LAPLACE先验，-This is a simple example to test the fast Laplace algorithm from the following paper: S. D. Babacan, R. Molina, A. K. Katsaggelos. bayesian Compressive Sensing using Laplace Priors
BCS_fast_rvm
- 该代码实现的是压缩感知理论中的信号恢复问题。将压缩感知理论中的信号恢复问题转化为带参数约束的回归问题，从而利用贝叶斯理论实现参数估计，从而得到高效的重建稀疏信号。-The code to achieve the signal recovery problems in the theory of compressed sensing. Recovery issues into regression problems with parameter constraints will signal co
PGC_v2.32_web
- 经典的压缩感知重建算法，可以很方便的使用。-it good
Space-Time-BCS-
- 一种空时贝叶斯压缩感知算法，用在认知无线电中，大大提高了检测概率-Perception of space-time compression of a Bayesian algorithm, used in the cognitive radio, greatly improving the detection probability
MT_CS_demo
- 主要是采用贝叶斯分压缩感知算法，及相关的应用实例-BSC used in the compressed sensing
Wireless-CS
- 简单的压缩感知用于无线传感器的例子，还有贝叶斯压缩感知-Simple compress perception used for wireless sensor examples, and the bayesian compression perception
CS-recovery-based-on-bayes
- 基于贝叶斯假设的压缩感知重构算法，介绍了算法迭代流程，并与OMP ROMP STOMP算法做了比较-Bayesian Hypothesis Testing Based Recovery for Compressed Sensing
bcs_ver0.1
- 贝叶斯压缩感知，一种新的压缩感知，主要是解决信号的重构问题-Bayesian compressed sensing, a new compressed sensing, mainly to resolve the signal reconstruction problem
tsdctcs
- 贝叶斯压缩感知工具包，matlab源代码，BCS入门工具包，配合文章学习。-tools for Bayesian compressian sensing. matlab souce code.
1671-4512(2011)S2-0172-04
- 贝叶斯压缩感知稀疏信号重构方法研究.PDF-Research on methods of signal reconstruction by Bayesian compressive sensing
BCS
- IEEE文献Bayesian Compressive Sensing及贝叶斯压缩感知源码-Bayesian Compressive Sensing Code
bcs_ver0.1
- 贝叶斯压缩感知的最新程序，利用MATLAB编程，希望对大家有用。-Bayesian compression perceived latest procedures, using MATLAB, we hope to be useful.
BCS_demo
- 贝叶斯压缩感知（BCS）算法的相关代码。能够运行，功能良好。-Bayesian Compressive Sensing (BCS) algorithm related code.
Bayesian-compressed-sensing
- 杜克大学 shihao ji的贝叶斯压缩感知论文可以使用的仿真程序- The simulation program of Ji Shihao of Duke University
BCS
- 压缩感知创始人之一大牛陶哲轩，贝叶斯压缩感知，代码包，含使用说明-Compressed Sensing co-founder Daniel Terence Tao, Bayesian Compressive Sensing, code package containing instructions for use
bcs_ver0.1
- 贝叶斯压缩感知源代码，可以实用无线传感器网络、图像处理等应用领域。感兴趣的朋友可以下载哦。(Bayes compressive sensing is applied in wirless sensor networks, image processing and so on. If you are interested, you can dowload them.)
bcs_ver0.1
- 贝叶斯压缩感知算法完整代码。值得初学者拥有。(The complete code of Bayesian compressed sensing algorithm, which is be worthy of a beginner.)
压缩感知和稀疏贝叶斯
- 基于贝叶斯理论的压缩感知算法，基于已有的先验知识，和信号的稀疏性，采用贝叶斯理论，对信号进行重构恢复。
利用拉普拉斯先验的压缩感知稀疏重构的贝叶斯方法
- 利用拉普拉斯先验的压缩感知稀疏重构的贝叶斯方法(The bayesian method of sparse reconstruction using Laplace's prior compressed sensing)