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dc.contributor.authorÖzden, Mehmet Tahir
dc.date.accessioned2021-06-05T20:01:29Z
dc.date.available2021-06-05T20:01:29Z
dc.date.issued2020
dc.identifier.isbn978-1-7281-6376-5
dc.identifier.urihttps://hdl.handle.net/20.500.12960/1122
dc.descriptionWOS:000577106400043en_US
dc.description.abstractA priori recursive least squares (RLS) lattice algorithm has been regularized by adding an approximation of 10-norm constraint penalty term to the cost function so as to introduce sparsity awareness to the prenously proposed lattice filter combination schemes, i.e., Regular Combination of Multiple Lattice Filters (R-CMLF) and Decoupled Combination of Multiple Lattice Filter (D-CMLF) schemes, in cognitive radio (CR) channel identification framework. Fast convergence and low steady state mean square deviation (MSD) performance under sparse channel conditions has been brought together with the use of different exponential weighting factors in sparsity aware component filters. The performances of lattice component filters with sparsity aware algorithms under white and colored Gaussian input signal conditions are demonstrated by means of MSD simulations, and the performances of combination filters of the proposed schemes have been compared against those of the l (1) -norm Regularized R-CMLF (l (1) -R-R-CMLF) and D-CMLF (l (1) -R-D-CMLF) schemes, and approximately l 0 -norm as well as l (1) -norm Regularized Combinations of Least Mean Square Filters (l (0) - and l (1) -R-CLMSF) schemesen_US
dc.description.sponsorshipBrno Univ Technol, Dept Telecommunicat, Budapest Univ Technol 7 Econ, Dept Telecommunicat & Media Informa, Czech Tech Univ Prague, Dept Telecommunicat Engn, Isik Univ, Dept Elect & Elect Engn, Istanbul Tech Univ, Elect & Commun Engn Dept, Josip Juraj Strossmayer Univ Osijek, Fac Elect Engn, Comp Sci & Informat Technol, Karadeniz Tech Univ, Dept Elect & Elect Engn, Natl Taiwan Univ Sci & Technol, Dept Elect & Comp Engn, Seikei Univ, Grad Sch, Fac Sci & Technol, Informat Networking Lab, Slovak Univ Technol Bratislava, Inst Multimedia Informat & Commun Technologies, Escola Univ Politecnica Mataro, Tecnocampus, Technical University of Sofia, Faculty of Telecommunications, Univ Paris 8, UFR MITSIC, Lab Informatique Avancee Saint Denis, Univ Politehnica Bucharest, Ctr Adv Res New Mat, Prod & Innovat Proc, Univ Ljubljana, Lab Telecommunicat, Univ Patras, Phys Dept, VSB Tech Univ Ostrava, Dept Telecommunicat, W Pomeranian Univ Technol, Fac Elect Engn, IEEE Reg 8, IEEE Italy Sect & Italy Sect SP Chapter, Italy Sect VT COM Joint Chapter, IEEE Czechoslovakia Sect, Sci Assoc Infocommunicat, IEEE Czechoslovakia Sect SP CAS COM Joint Chapteren_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2020 43Rd International Conference on Telecommunications and Signal Processing (Tsp)en_US
dc.relation.ispartof43rd International Conference on Telecommunications and Signal Processing (TSP) -- JUL 07-09, 2020 -- ELECTR NETWORKen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCren_US
dc.subject5gen_US
dc.subjectCombining Filtersen_US
dc.subjectSparse Channel Identificationen_US
dc.subjectLattice Filtersen_US
dc.subjectSequential Processingen_US
dc.titleCombination of Approximate l(0)-Norm Regularized Multiple Adaptive Lattice Filters in Sparse Cogntive Radio Coannel Identificationen_US
dc.typeconferenceObjecten_US
dc.departmentMühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.department-temp[Ozden, Mehmet Tahir] Piri Reis Univ, TR-34940 Istanbul, Turkeyen_US
dc.contributor.institutionauthorÖzden, Mehmet Tahir
dc.identifier.startpage198en_US
dc.identifier.endpage203en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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