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Description: 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 'cameraman'
demo_BCSvb_2d_small.m: example of a 2-dimensional small image: 32x32 image 'indor2'
cameraman.pgm, indor2.pgm: images used by 2-dimensional examples.
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Lihan He, ECE, Duke University
Created: Dec. 9, 2008
Last updated: Mar. 3, 2009, allowing [] as input arguments
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Author: 1193072669@qq.com |
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Description: 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.
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Size: 92160 |
Author: chen |
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Description: 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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Size: 5120 |
Author: 王蒙 |
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Description: 经典的压缩感知重建算法，可以很方便的使用。-it good
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Size: 15360 |
Author: 王尚礼 |
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Description: 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
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Size: 424960 |
Author: cinlar |
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Description: 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
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Size: 861184 |
Author: Kim |
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Description: 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
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Size: 243712 |
Author: Kim |
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Description: 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
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Size: 907264 |
Author: 李迎松 |
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Description: 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
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Size: 16475136 |
Author: 林贺宇 |
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Description: 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
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Author: xln |
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Description: 为提高压缩感知重构精度，该文提出一种分段弱阈值修正共轭梯度追踪算法。该算法修正了方向追踪算法
的方向，明确给出了搜寻原子下标的停止迭代准则，利用搜寻所得下标集通过最小二乘法得到稀疏信号的估计值。
仿真结果表明在同等稀疏的条件下实现精确重构，该算法与匹配追踪(MP)算法和分段正交匹配追踪FDR 阈值算
法(StOMP-FDR)相比,所需的观测值个数少20 ；在处理2 维图像信号时，其重构精度比分段正交匹配追踪FAR
阈值算法(StOMP-FAR)和贝叶斯算法(BCS)高1 。-In order to improve recovery accuracy for compressed sensing, a Stagewise Weak selection Modifying
approximation Conjugate Gradient Pursuit (StWMCGP) algorithm is proposed in this paper. This algorithm
modifies the direction in the directional pursuit algorithm and clearly presents a stopping criterion to search the
indices of elements and get a set. Then the evaluation of sparse signal is obtained by using Least-squares algorithm
and the set. Simulated results show that for the same sparsity level, the number of measurements needed by the
algorithm is about 20 less than that needed by MP or StOMP-FDR to exactly recover. When recovering
two-dimensional image signal, the recovery accuracy of this algorithm is about 1 higher than that of BCS or
StOMP-FAR.
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Author: wang |
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Description: 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
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Author: 高畅 |
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Description: 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 compression perception theory, Bayesian theory parameter estimation, resulting in efficient reconstruction of sparse signal.
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Size: 2048 |
Author: Xu,J.P |
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Description: 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
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Size: 1100800 |
Author: 刘小娟 |
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Description: 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.
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Size: 6144 |
Author: zhou nan |
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Description: 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
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Size: 8192 |
Author: 汪琪 |
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Description: 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.
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Size: 1481728 |
Author: zhenhua |
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Description: 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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Size: 159744 |
Author: 女王大人 |
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Description: 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.)
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Author: 微笑-PASTA
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Description: 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)
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Author: 颂颂美美哒
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