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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
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本文件中包含的代码是使用Bayesian compressive sensing 理论对图像降噪，修复的程序-his package includes 4 folders. Folder toydata contains core code and demo of the original BRPCA Model Folder MarkovDependency contains core code and demos of the modified BRPCA Model with M
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compressive sensing:Bayesian Compressive Sensing
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基于Bayesian压缩感知的融合算法.pdf-Image fusion algorithm based on bayesian compressive sensing
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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
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IEEE文献Bayesian Compressive Sensing及贝叶斯压缩感知源码-Bayesian Compressive Sensing Code
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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.
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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
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用于实现IEEE论文“Bayesian Compressive Sensing”的图2和图4的。(This set of Matlab (7.0) functions contain the core code for generating
Fig.2 and Figs.4(a,b) of the following paper:"Bayesian Compressive Sensing"
Shihao Ji, Ya Xue, and Lawrence Carin,
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Bayesian compressive sensing implemented using matlab.
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New method of convex optimization in CS
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Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals,
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Sparse Bayesian Learning
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