BCS

IEEE文献Bayesian Compressive Sensing及贝叶斯压缩感知源码

function [weightsusedsigma2errbarsbasis] = BCS_fast_rvm（PHItsigma2etaadaptiveoptimalscale）
%------------------------------------------------------------------
% The BCS algorithm for the following paper:
% “Bayesian Compressive Sesning“ （Preprint 2007）. The algorithm 
% adopts from the fast RVM algorithm [Tipping & Faul 2003].
% Coded by: Shihao Ji ECE Duke University
% last change: Jan. 2 2007
% You are suggested to use mt_CS.m for improved robustness
%------------------------------------------------------------------
% Input for BCS:
%   PHI: projection matrix
%   t:   CS measurements
%   sigma2: initial noise variance
%      If measurement noise exists and/or w is not truely sparse 
%             then sigma2 = std（t）^2/1e2 （suggested）
%      If no measurem

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----
     文件     1587138  2020-07-27 14:36  Bayesian Compressive Sensing.pdf
     文件        2664  2020-07-27 14:36  bcs_ver0.1\README.txt
     文件       60254  2020-07-27 14:36  bcs_ver0.1\BCS_demo\approx_results.mat
     文件        5463  2020-07-27 14:36  bcs_ver0.1\BCS_demo\BCS_fast_rvm.m
     文件        2096  2020-07-27 14:36  bcs_ver0.1\BCS_demo\Fig2.m
     文件        1259  2020-07-27 14:36  bcs_ver0.1\BCS_demo\Fig4_ab.m
     文件        1696  2020-07-27 14:36  bcs_ver0.1\BCS_demo\multi_approx_measures.m
     文件        1763  2020-07-27 14:36  bcs_ver0.1\BCS_demo\multi_optimized_measures.m
     文件        1514  2020-07-27 14:36  bcs_ver0.1\BCS_demo\multi_random_measures.m
     文件       60300  2020-07-27 14:36  bcs_ver0.1\BCS_demo\optimized_results.mat
     文件       60084  2020-07-27 14:36  bcs_ver0.1\BCS_demo\random_results.mat
     文件        2662  2020-07-27 14:36  bcs_ver0.1\MT_CS_demo\Fig2.m
     文件        1899  2020-07-27 14:36  bcs_ver0.1\MT_CS_demo\Fig3.m
     文件        6377  2020-07-27 14:36  bcs_ver0.1\MT_CS_demo\mt_CS.m
     文件      299828  2020-07-27 14:36  bcs_ver0.1\MT_CS_demo\multi_results_25.mat
     文件      299942  2020-07-27 14:36  bcs_ver0.1\MT_CS_demo\multi_results_50.mat
     文件      300077  2020-07-27 14:36  bcs_ver0.1\MT_CS_demo\multi_results_75.mat
     文件        2569  2020-07-27 14:36  bcs_ver0.1\MT_CS_demo\multi_runs_25.m
     文件        2602  2020-07-27 14:36  bcs_ver0.1\MT_CS_demo\multi_runs_50.m
     文件        2602  2020-07-27 14:36  bcs_ver0.1\MT_CS_demo\multi_runs_75.m