Please use this identifier to cite or link to this item: https://knowledgecommons.lakeheadu.ca/handle/2453/484
Title: Empirical recovery performance of fourier-based deterministic compressed sensing
Authors: Li, Ying
Keywords: Compressed sensing;Noisy compressed sensing;Haar wavelet transform;Chirp sensing codes;Orthogonal matching pursuit algorithm
Issue Date: 22-Jan-2014
Abstract: Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. Mathematically, measuring an N-dimensional signal...
URI: http://knowledgecommons.lakeheadu.ca/handle/2453/484
metadata.etd.degree.discipline: Engineering : Electrical & Computer
metadata.etd.degree.name: M.Sc.
metadata.etd.degree.level: Master
metadata.dc.contributor.advisor: Yu, Nam Yul
metadata.dc.contributor.committeemember: Wei, Ruizhong
Naser, Hassan
Appears in Collections:Electronic Theses and Dissertations from 2009

Files in This Item:
File Description SizeFormat 
LiY2013m-1a.pdf3.42 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.