文件名称: BCS_CODE下载

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开发工具: matlab

文件大小: 1466 KB

上传时间: 2014-11-25

下载次数: 9

提 供 者: zzz

详细说明：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

文件列表(点击判断是否您需要的文件，如果是垃圾请在下面评价投诉):

BCS_CODE

........\bcs_ver0.1

........\..........\BCS_demo

........\..........\........\approx_results.mat

........\..........\........\BCS_fast_rvm.m

........\..........\........\Fig2.m

........\..........\........\Fig4_ab.m

........\..........\........\l1qc_logbarrier.m

........\..........\........\l1qc_newton.m

........\..........\........\multi_approx_measures.m

........\..........\........\multi_optimized_measures.m

........\..........\........\multi_random_measures.m

........\..........\........\optimized_results.mat

........\..........\........\random_results.mat

........\..........\l1magic

........\..........\.......\Data

........\..........\.......\....\boats.mat

........\..........\.......\....\camera.mat

........\..........\.......\....\RandomStates.mat

........\..........\.......\l1dantzig_example.m

........\..........\.......\l1decode_example.m

........\..........\.......\l1eq_example.m

........\..........\.......\l1qc_example.m

........\..........\.......\Measurements

........\..........\.......\............\At_f.m

........\..........\.......\............\At_fhp.m

........\..........\.......\............\A_f.m

........\..........\.......\............\A_fhp.m

........\..........\.......\............\LineMask.m

........\..........\.......\Notes

........\..........\.......\.....\Figs

........\..........\.......\.....\....\CVS

........\..........\.......\.....\....\...\Entries

........\..........\.......\.....\....\...\Repository

........\..........\.......\.....\....\...\Root

........\..........\.......\.....\....\l1eqexample_minl2.eps

........\..........\.......\.....\....\l1eqexample_minl2.pdf

........\..........\.......\.....\....\l1eqexample_recovered.eps

........\..........\.......\.....\....\l1eqexample_recovered.pdf

........\..........\.......\.....\....\l1eqexample_signal.eps

........\..........\.......\.....\....\l1eqexample_signal.pdf

........\..........\.......\.....\....\phantom_backproj.eps

........\..........\.......\.....\....\phantom_backproj.pdf

........\..........\.......\.....\....\phantom_orig.eps

........\..........\.......\.....\....\phantom_orig.pdf

........\..........\.......\.....\....\phantom_sampling.eps

........\..........\.......\.....\....\phantom_sampling.pdf

........\..........\.......\.....\....\phantom_tv.eps

........\..........\.......\.....\....\phantom_tv.pdf

........\..........\.......\.....\l1magic.bib

........\..........\.......\.....\l1magic_notes.aux

........\..........\.......\.....\l1magic_notes.bbl

........\..........\.......\.....\l1magic_notes.blg

........\..........\.......\.....\l1magic_notes.log

........\..........\.......\.....\l1magic_notes.pdf

........\..........\.......\.....\l1magic_notes.tex

........\..........\.......\Optimization

........\..........\.......\............\cgsolve.m

........\..........\.......\............\l1dantzig_pd.m

........\..........\.......\............\l1decode_pd.m

........\..........\.......\............\l1eq_pd.m

........\..........\.......\............\l1qc_logbarrier.m

........\..........\.......\............\l1qc_newton.m

........\..........\.......\............\tvdantzig_logbarrier.m

........\..........\.......\............\tvdantzig_newton.m

........\..........\.......\............\tveq_logbarrier.m

........\..........\.......\............\tveq_newton.m

........\..........\.......\............\tvqc_logbarrier.m

........\..........\.......\............\tvqc_newton.m

........\..........\.......\README

........\..........\.......\tvdantzig_example.m

........\..........\.......\tveq_example.m

........\..........\.......\tveq_phantom_example.m

........\..........\.......\tvqc_example.m

........\..........\.......\tvqc_quantization_example.m

........\..........\MT_CS_demo

........\..........\..........\Fig2.m

........\..........\..........\Fig3.m

........\..........\..........\mt_CS.m

........\..........\..........\multi_results_25.mat

........\..........\..........\multi_results_50.mat

........\..........\..........\multi_results_75.mat

........\..........\..........\multi_runs_25.m

........\..........\..........\multi_runs_50.m

........\..........\..........\multi_runs_75.m

........\..........\README.txt

........\..........\__MACOSX

........\..........\........\l1magic

........\..........\........\.......\Data

........\..........\........\.......\Measurements

........\..........\........\.......\Notes

........\..........\........\.......\Optimization

输入关键字，在本站238万海量源码库中尽情搜索：

帮助

[fbmpCP.rar] - 用于图像处理的压缩感知的快速贝叶斯匹配追击算法

[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

[BCS_.rar] - 贝叶斯压缩感知的仿真程序，此程序使用LAPLACE先验，

[blockTestOMP.rar] - 压缩感知经典程序算法分块的STOMP算法，该算法已经过验证，可以正常使用。

[OSGA.zip] - 第二种联合稀疏模型重构算法，用于分布式压缩感知

[bcs_ver0.1.zip] - 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

[sl0.rar] - SL0压缩感知算法几篇国外原文，拒绝国内水军，各种误导