Sparse Representations for Structured Noise Filtering
Functional Analysis
2007-09-18 v1
Abstract
The role of sparse representations in the context of structured noise filtering is discussed. A strategy, especially conceived so as to address problems of an ill posed nature, is presented. The proposed approach revises and extends the Oblique Matching Pursuit technique. It is shown that, by working with an orthogonal projection of the signal to be filtered, it is possible to apply orthogonal matching pursuit like strategies in order to accomplish the required signal discrimination
Cite
@article{arxiv.0709.2475,
title = {Sparse Representations for Structured Noise Filtering},
author = {Bishnu P. Lamichhane and Laura Rebollo-Neira},
journal= {arXiv preprint arXiv:0709.2475},
year = {2007}
}