A New Sparse Convex Combination of ZA-LLMS and RZA-LLMS Algorithms
| dc.contributor.author | Salman, Mohammad Shukri | |
| dc.contributor.author | Hameed, Alaa Ali | |
| dc.contributor.author | Turan, Cemil | |
| dc.contributor.author | Karlik, Bekir | |
| dc.date.accessioned | 2020-03-26T19:00:29Z | |
| dc.date.available | 2020-03-26T19:00:29Z | |
| dc.date.issued | 2015 | |
| dc.department | Selçuk Üniversitesi | en_US |
| dc.description | 23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEY | en_US |
| dc.description.abstract | In the last decade, several algorithms have been proposed for performance improvement of adaptive filters in sparse system identification. In this paper, we propose a new convex combination of two different algorithms as zero-attracting leaky least-mean-square (ZA-LLMS) and reweighted zero-attracting leaky-least-mean square (RZA-LLMS) algorithms in sparse system identification setting. The performances of the aforementioned algorithms has been tested and compared to the result of the new combination. Simulations show that the proposed algorithm has a good ability to track the MSD curves of the other algorithms in additive white Gaussian noise (AWGN) and additive correlated Gaussian noise (ACGN) environments. | en_US |
| dc.description.sponsorship | Dept Comp Engn & Elect & Elect Engn, Elect & Elect Engn, Bilkent Univ | en_US |
| dc.identifier.endpage | 714 | en_US |
| dc.identifier.isbn | 978-1-4673-7386-9 | |
| dc.identifier.issn | 2165-0608 | en_US |
| dc.identifier.startpage | 711 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12395/31779 | |
| dc.identifier.wos | WOS:000380500900158 | en_US |
| dc.identifier.wosquality | N/A | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.language.iso | tr | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | 2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | en_US |
| dc.relation.ispartofseries | Signal Processing and Communications Applications Conference | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.selcuk | 20240510_oaig | en_US |
| dc.title | A New Sparse Convex Combination of ZA-LLMS and RZA-LLMS Algorithms | en_US |
| dc.type | Conference Object | en_US |
