Update Lyh experiment

2024-02-21 16:46:15 +08:00
parent ae199edbcd
commit f1ae3ff41d
9 changed files with 115 additions and 3 deletions
@@ -0,0 +1,45 @@
+close all;
+clear all;
+clc;
+M = 4;
+N = 128;
+%block_sparsity = 1;
+tol = 1e-4;
+trial = 20;
+max_sparsity = 25;
+epi = 0.02;
+result = zeros(N,max_sparsity);
+FAR_model = get_far_model(N, M, epi);
+
+for n = 60:N
+    for s = 10:max_sparsity
+        success_count = 0;
+        for loop = 1:trial
+            col_choose = randperm(N,n);
+            FAR_model_partial = FAR_model(col_choose,:);
+
+            sparse_signal = zeros(M,N);
+            block = randperm(N,s);
+            sparse_signal(:,block) = exp(1i*2*pi*rand(M,s));
+
+            y = FAR_model_partial * sparse_signal(:);
+
+            cvx_begin
+            variable x(M,N) complex
+            norm21 = 0;
+            for i = 1:N
+                norm21 = norm21 + norm(x(:,i));
+            end
+            minimize(norm21)
+            subject to
+            FAR_model_partial * x(:) == y
+            cvx_end
+
+            if norm(x(:)-sparse_signal(:))<tol
+                success_count = success_count+1;
+            end
+        end
+        result(n,s) = success_count/trial;
+    end
+end
+save('FARblockepsilon4.mat');