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 | Size | Format | |
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LiY2013m-1a.pdf | 3.42 MB | Adobe PDF | View/Open |
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