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 | where is the recovered signal | by applying OMP on the residual vector. | (2) Let | (3) The residual vector is updated as | where . | (4) If , let , | and go back to step (1); otherwise, | terminate the iteration and let the final support set | . | Output: Compute the estimated signals by | (5). |
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