in this paper, we propose Fractional order Stochastic Pairwise Conjugate Gradient Algorithm (FSPCGA) by introducing fractional order gradient in weight adaptation relation of Stochastic Pairwise Conjugate Gradient AAlgorithm (SPCGA) for adaptive filtering. Performance analysis of the proposed algorithm is compared with Least Mean Square (LMS) algorithm and SQCGA by appling over channel equalization problem. Convergence rate of FSPCGA is better than convergence rates SPCGA and LMS under certain conditions. FSPCGA offers best filetr weights estimation as long as fractional order of the gradient increase and hence leads to achieve global minima in stochastic setting.
Fractional Order Stochastic Pairwise Conjugate Gradient Algorithm For Adaptive Filtering
GAGLIARDI, Roberto
2014-01-01
Abstract
in this paper, we propose Fractional order Stochastic Pairwise Conjugate Gradient Algorithm (FSPCGA) by introducing fractional order gradient in weight adaptation relation of Stochastic Pairwise Conjugate Gradient AAlgorithm (SPCGA) for adaptive filtering. Performance analysis of the proposed algorithm is compared with Least Mean Square (LMS) algorithm and SQCGA by appling over channel equalization problem. Convergence rate of FSPCGA is better than convergence rates SPCGA and LMS under certain conditions. FSPCGA offers best filetr weights estimation as long as fractional order of the gradient increase and hence leads to achieve global minima in stochastic setting.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.people | Ullah, Zaib | - |
| dc.authority.people | Syed, A. A. | - |
| dc.authority.people | GAGLIARDI, Roberto | en |
| dc.collection.id.s | e0ff0077-8d40-9bac-e053-1705fe0af019 | * |
| dc.collection.name | 5.3 Poster atto convegno su volume | * |
| dc.contributor.appartenenza | Scuola di Scienze e Tecnologie | * |
| dc.contributor.appartenenza.mi | 579 | * |
| dc.contributor.area | AREA MIN. 09 - Ingegneria industriale e dell'informazione | * |
| dc.date.accessioned | 2016/01/07 13:03:38 | - |
| dc.date.available | 2016/01/07 13:03:38 | - |
| dc.date.firstsubmission | 2016/01/07 13:03:38 | * |
| dc.date.issued | 2014 | en |
| dc.date.submission | 2016/01/08 17:53:24 | * |
| dc.description.abstract | in this paper, we propose Fractional order Stochastic Pairwise Conjugate Gradient Algorithm (FSPCGA) by introducing fractional order gradient in weight adaptation relation of Stochastic Pairwise Conjugate Gradient AAlgorithm (SPCGA) for adaptive filtering. Performance analysis of the proposed algorithm is compared with Least Mean Square (LMS) algorithm and SQCGA by appling over channel equalization problem. Convergence rate of FSPCGA is better than convergence rates SPCGA and LMS under certain conditions. FSPCGA offers best filetr weights estimation as long as fractional order of the gradient increase and hence leads to achieve global minima in stochastic setting. | en |
| dc.description.allpeople | Ullah, Zaib; Syed, A. A.; Gagliardi, Roberto | - |
| dc.description.allpeopleoriginal | Ullah, Zaib.; Syed, A.A.; Gagliardi, Roberto | en |
| dc.description.fulltext | none | en |
| dc.description.international | si | en |
| dc.description.numberofauthors | 3 | - |
| dc.identifier.isbn | 9788867680177 | en |
| dc.identifier.uri | http://hdl.handle.net/11581/362384 | - |
| dc.language.iso | eng | en |
| dc.publisher.country | ITA | en |
| dc.publisher.name | UNICAM | en |
| dc.publisher.place | Camerino | en |
| dc.relation.alleditors | UNICAM School of Science and Technology | en |
| dc.relation.conferencedate | june 11,2014 | en |
| dc.relation.conferencename | 4th Scientific Day of School of Science and Technology, UNICAM | en |
| dc.relation.conferenceplace | Camerino | en |
| dc.relation.firstpage | 41 | en |
| dc.relation.ispartofbook | 4th Scientific Day of School of Science and Technology, UNICAM | en |
| dc.relation.lastpage | 42 | en |
| dc.relation.medium | STAMPA | en |
| dc.relation.numberofpages | 1 | en |
| dc.title | Fractional Order Stochastic Pairwise Conjugate Gradient Algorithm For Adaptive Filtering | en |
| dc.type | Poster atto convegno su volume | - |
| dc.type.circulation | nazionale | en |
| dc.type.driver | info:eu-repo/semantics/conferenceObject | - |
| dc.type.full | 5 ATTO DI CONVEGNO SU VOLUME::5.3 Poster atto convegno su volume | it |
| dc.type.invited | contributo | en |
| dc.type.miur | 275 | - |
| dc.ugov.classaux4 | poster | it |
| dc.ugov.dtins | 2015-01-26 12:18:43 | it |
| dc.ugov.flaux2 | si | en |
| dc.ugov.nometipoministero | Poster | it |
| iris.orcid.lastModifiedDate | 2024/06/19 09:13:42 | * |
| iris.orcid.lastModifiedMillisecond | 1718781222562 | * |
| iris.sitodocente.maxattempts | 1 | - |
| Appare nelle tipologie: | 5.3 Poster in atto di convegno su volume | |
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