Research Article
A Hybrid Orthogonal Forward-Backward Pursuit Algorithm for Partial Fourier Multiple Measurement Vectors Problem
Input: The measurement matrix , the | measurement vectors where , the | sparsity . | Initialization: Let the residual vectors | where and the support set . | Iteration: | (1) Let the temporary support set | . | (2) Let | (3) The residual vector is updated as | where . | (4) If , let , | where and go back to step | (1); otherwise, we terminate the iteration and let the | final support set . | Output: Compute the estimated signals by (5). |
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