Analysis of the Self Projected Matching Pursuit Algorithm

31 Aug 2016Laura Rebollo-NeiraMiroslav RozloznikPradip Sasmal

The convergence and numerical analysis of a low memory implementation of the Orthogonal Matching Pursuit greedy strategy, which is termed Self Projected Matching Pursuit, is presented. This approach renders an iterative way of solving the least squares problem with much less storage requirement than direct linear algebra techniques... (read more)

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