Polar compressive sampling: A novel technique using polar codes
buir.contributor.author | Arıkan, Orhan | |
buir.contributor.orcid | Arıkan, Orhan|0000-0002-3698-8888 | |
dc.citation.epage | 76 | en_US |
dc.citation.spage | 73 | en_US |
dc.contributor.author | Pilancı, Mert | en_US |
dc.contributor.author | Arıkan, Orhan | en_US |
dc.contributor.author | Arıkan, Erdal | en_US |
dc.coverage.spatial | Diyarbakir, Turkey | en_US |
dc.date.accessioned | 2016-02-08T12:21:57Z | |
dc.date.available | 2016-02-08T12:21:57Z | |
dc.date.issued | 2010 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 22-24 April 2010 | en_US |
dc.description.abstract | Recently introduced Polar coding is the first practical coding technique that can be proven to achieve the Shannon capacity for a multitude of communication channels. Polar codes are close to Reed-Muller codes except the fact that they are tuned for the parameters of the channel. Hence, Polar codes are shown to offer better performance, e.g., in the erasure channel. It is known that second order Reed-Muller codes can be used for Compressed Sensing. Inspired by that result, we propose Polar codes as measurement matrices in CS and compare their numerical performances. We also present the algebraic relation between the erasure channel and CS theory, and discuss fast solution techniques. ©2010 IEEE. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T12:21:57Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2010 | en |
dc.identifier.doi | 10.1109/SIU.2010.5652154 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/28488 | |
dc.language.iso | Turkish | en_US |
dc.publisher | IEEE | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1109/SIU.2010.5652154 | en_US |
dc.source.title | 2010 IEEE 18th Signal Processing and Communications Applications Conference | en_US |
dc.subject | Compressed sensing | en_US |
dc.subject | Polar codes | en_US |
dc.subject | Algebraic relations | en_US |
dc.subject | Coding techniques | en_US |
dc.subject | Communication channel | en_US |
dc.subject | Compressed sensing | en_US |
dc.subject | Compressive sampling | en_US |
dc.subject | Erasure channels | en_US |
dc.subject | Fast solutions | en_US |
dc.subject | Novel techniques | en_US |
dc.subject | Polar codes | en_US |
dc.subject | Reed-Muller codes | en_US |
dc.subject | Second orders | en_US |
dc.subject | Shannon capacity | en_US |
dc.subject | Signal processing | en_US |
dc.subject | Signal reconstruction | en_US |
dc.title | Polar compressive sampling: A novel technique using polar codes | en_US |
dc.title.alternative | Kutupsal sikiştirmali örnekleme: Kutuplaşma kodlari ile yeni bir yöntem | en_US |
dc.type | Conference Paper | en_US |
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