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Bayes压缩感知代码
- The VB BCS codes implemented by MatLab 7.0 are included in this package. BCSvb.m: VB BCS code demo_BCSvb_1d.m: example of a 1-dimensional signal demo_BCSvb_2d.m: example of a 2-dimensional image: 128x128 image 'ca
bcs_vb
- 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-dimension
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
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
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
BCS-in-WSN
- 无线传感网络中，压缩感知数据恢复的一种贝叶斯分析，也许能用于分布式压缩感知-Wireless sensor networks, compressed sensing data recovery of a Bayesian analysis, may be used for distributed compressed sensing
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
Bayesian-Compressive-Sensing
- 基于贝叶斯压缩感知理论的相关介绍，压缩感知理论是近几年非常热门的研究内容-Introduction of compressed sensing theory based on Bayesian compressed sensing theory is very popular in recent years, the research content
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 parame
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
MSBL_code
- 稀疏贝叶斯学习是一种很好压缩感知，信号恢复方法。-sparse bayesian learning is a good cs method for coefficient recovery.
FastLaplace
- 利用拉普拉斯先验的压缩感知稀疏重构的贝叶斯方法，具有较好的计算精度-Bayesian compressive sensing using laplace priors，with high accuracy
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.
BCS_CODE
- matlab写的贝叶斯的压缩感知的代码，应用范围广泛，很不错。-matlab write code compression Bayesian perception, wide range of applications, very good.
Bayesian-Compressive-Sensing
- 基于贝叶斯的压缩感知，运用相关向量机 理论。-Based on bayesian compressed perception and use of relevance Vector Machine (Relevant Vector Machine, RVM) theory
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.)
Simulation1
- 对于定位进行研究，增加定位准确度，采用收缩的方法(For localization studies, increased positioning accuracy was achieved using the shrinkage method)