eprintid: 1917
rev_number: 6
eprint_status: archive
userid: 6
dir: disk0/00/00/19/17
datestamp: 2013-11-20 11:11:10
lastmod: 2013-11-20 11:11:10
status_changed: 2013-11-20 11:11:10
type: article
metadata_visibility: show
creators_name: Rusu, Cristian
creators_name: Dumitrescu, Bogdan
creators_name: Tsaftaris, Sotirios A.
creators_id: cristian.rusu@imtlucca.it
creators_id: 
creators_id: sotirios.tsaftaris@imtlucca.it
title: Explicit Shift-Invariant Dictionary Learning
ispublished: pub
subjects: QA75
subjects: Z004
divisions: CSA
full_text_status: none
keywords: Dictionary learning; Shift-invariant learning; Sparse representations

abstract: In this letter we give efficient solutions to the construction of structured dictionaries for sparse representations. We study circulant and Toeplitz structures and give fast algorithms based on least squares solutions. We take advantage of explicit circulant structures and we apply the resulting algorithms to shift-invariant learning scenarios. Synthetic experiments and comparisons with state-of-the-art methods show the superiority of the proposed methods.
date: 2014
date_type: published
publication: IEEE Signal Processing Letters
volume: 21
number: 1
publisher: IEEE
pagerange: 6-9
id_number: 10.1109/LSP.2013.2288788
refereed: TRUE
issn: 1070-9908
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6655924&isnumber=6655913
citation:   Rusu, Cristian and Dumitrescu, Bogdan and Tsaftaris, Sotirios A.  Explicit Shift-Invariant Dictionary Learning.  IEEE Signal Processing Letters, 21 (1).  pp. 6-9.  ISSN 1070-9908      (2014)