We provide a framework of fast iterative algorithms based on null space tuning, thresholding, and feedbacks for signal recovery in sparse representation and compressed sensing. Convergence results are provided. Numerical studies about the effectiveness and the speed of the algorithms are also presented. The algorithms are seen as particularly effective for large scale problems.
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