bcsfigure04b.m

来自「一种基于压缩感知技术的图像重建程序」· M 代码 · 共 34 行

%--------------------------------------------------------------
% This code generates Figure 4b of the following paper: 
% "Bayesian Compressive Sensing" (Preprint, 2007).
% The dataset used is similar to the one used in l1qc_example.m, 
% an example from l1magic. 
% Coded by: Shihao Ji, ECE, Duke University
% last change: Jan. 2, 2007
%--------------------------------------------------------------
clear all
%
load DataFig04ab_random.mat
rand_mean = mean(err);
rand_std = std(err);
load DataFig04ab_optimized.mat
opt_mean = mean(err);
opt_std = std(err);
load DataFig04ab_approx.mat
app_mean = mean(err);
app_std = std(err);
%
base = 40;
ns = 80;
dN = 1;
% plot the variance

errorbar(base+(1:ns)*dN,rand_mean,rand_std,'b-o');
hold on;
errorbar(base+(1:ns)*dN,opt_mean,opt_std,'r-*');
% hold on;
% errorbar(base+(1:ns)*dN,app_mean,app_std,'k-s');
xlabel('Number of Measurements'); ylabel('Reconstruction Error');
box on; axis([39,121,-0.3,1.6]);
legend('Random','Optimized',1);