搜索资源列表
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
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
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
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.
CT-tracking
- 一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒-A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP co
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
tsbcs_vb
- 贝叶斯压缩感知升级版~2008年才提出的哦-Bayesian compressed sensing upgraded version was made in 2008 ~ oh
BCS_CODE
- 贝叶斯压缩感知以及分布式贝叶斯压缩感知的算法实现，很好的范例-Bayesian Bayesian compressed sensing and distributed compressed sensing algorithm, a good example
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
1b3b1ab82e3c1df9728eff52453470c8
- 贝叶斯压缩感知 从杜克大学网站上下载的贝叶斯压缩感知代码，该代码完全可以运行，是学习贝叶斯压缩感知的基础性代码。-This code generates Figure 3 (MT 25 ) of the following paper: Multi-Task Compressive Sensing (Preprint, 2007) This example is modified l1qc_example.m, an example l1magic.
BCS-code
- 贝叶斯压缩感知的源码，适合做压缩感知的同学使用。-Bayesian Compressive Sensing source code, suitable for students to use compressed sensing.
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
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)
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.)