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https://open.uns.ac.rs/handle/123456789/5357
Title: | Compressed Sensing using sparse binary measurements: A rateless coding perspective | Authors: | Vukobratović, Dejan Sejdinovic D. Pizurica A. |
Issue Date: | 27-Aug-2015 | Journal: | IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC | Abstract: | © 2015 IEEE. Compressed Sensing (CS) methods using sparse binary measurement matrices and iterative message-passing recovery procedures have been recently investigated due to their low computational complexity and excellent performance. Drawing much of inspiration from sparse-graph codes such as Low-Density Parity-Check (LDPC) codes, these studies use analytical tools from modern coding theory to analyze CS solutions. In this paper, we consider and systematically analyze the CS setup inspired by a class of efficient, popular and flexible sparse-graph codes called rateless codes. The proposed rateless CS setup is asymptotically analyzed using tools such as Density Evolution and EXIT charts and fine-Tuned using degree distribution optimization techniques. | URI: | https://open.uns.ac.rs/handle/123456789/5357 | ISBN: | 9781479919307 | DOI: | 10.1109/SPAWC.2015.7227005 |
Appears in Collections: | FTN Publikacije/Publications |
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