Research Article
The Sparsity Adaptive Reconstruction Algorithm Based on Simulated Annealing for Compressed Sensing
(1) | Input: | (2) | Measurement signal ; | (3) | Sensing matrix ; | (4) | Initialize , , . | (5) | Iteration: | (6) | Estimated sparsity level . | (7) | Initialize the support set . | (8) | ; | (9) | Initialize ; | (10) | While do | (11) | for do | (12) | ; | (13) | Choose elements from and combined with as ; | (14) | Calculate ; | (15) | Choose the largest elements from as ; | (16) | Calculate ; | (17) | if then | (18) | | (19) | else | (20) | Calculate | (21) | Take a random | (22) | if then ; | (22) | else | (23) | Calculate | (24) | if then break | (25) | end for | (26) | Update | (27) | End while | (28) | Output: ; |
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