Title: Low memory implementation of Orthogonal Matching Pursuit like greedy algorithms: Analysis and Applications.
Abstract:The convergence analysis of a low memory implementation of the Orthogonal Matching Pursuit method, which is termed Self Projected Matching Pursuit, is presented. The approach is extended to improve th...The convergence analysis of a low memory implementation of the Orthogonal Matching Pursuit method, which is termed Self Projected Matching Pursuit, is presented. The approach is extended to improve the sparsity ratio of a signal representation when approximating the signal by partitioning. A backward strategy, for reducing terms in a signal decomposition, is discussed. The suitability of the methods, to be applied on cases where standard implementations of Orthogonal Matching Pursuit are not feasible due to memory requirements, is illustrated by producing high quality approximation of melodic music and X-Ray medical images.Read More
Publication Year: 2016
Publication Date: 2016-08-31
Language: en
Type: preprint
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Cited By Count: 1
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