relation: http://eprints.imtlucca.it/1529/
title: Iterative reweighted l1 design of sparse FIR filters
creator: Rusu, Cristian
creator: Dumitrescu, Bogdan
subject: QA75 Electronic computers. Computer science
description: Sparse FIR filters have lower implementation complexity than full filters, while keeping a good performance level. This paper describes a new method for designing 1D and 2D sparse filters in the minimax sense using a mixture of reweighted l1 minimization and greedy iterations. The combination proves to be quite efficient; after the reweighted l1 minimization stage introduces zero coefficients in bulk, a small number of greedy iterations serve to eliminate a few extra coefficients. Experimental results and a comparison with the latest methods show that the proposed method performs very well both in the running speed and in the quality of the solutions obtained.
publisher: Elsevier
date: 2012
type: Article
type: PeerReviewed
format: application/pdf
language: en
identifier: http://eprints.imtlucca.it/1529/1/Iterative%20reweighted%20l1%20design%20of%20sparse%20FIR%20filters.pdf
identifier:   Rusu, Cristian and Dumitrescu, Bogdan  Iterative reweighted l1 design of sparse FIR filters.  Signal Processing, 92 (4).  pp. 905-911.  ISSN 0165-1684      (2012)  
relation: http://dx.doi.org/10.1016/j.sigpro.2011.09.031
relation: 10.1016/j.sigpro.2011.09.031