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YENİ BİR ADAPTİF FİLTRELEME YÖNTEMİ: HİBRİD GS-NLMS ALGORİTMASI

A New Adaptive Filtering Method: Hybrid GS-NLMS Algorithm

Journal Name:

  • Uludağ Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

Publication Year:

  • 2008

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
In this paper, a hybrid algorithm based on the use of Gauss-Seidel and Normalized Least Mean Squares algorithms together is introduced for adjusting of adaptive filter coefficients and also convergence rate, stability and computational complexity of the proposed algorithm is studied. The proposed algorithm is compared with similar algorithms by viewpoints of computational complexity and convergence rate by a simulation study. According to the results obtained, it is shown that the proposed hybrid algorithm is a good alternative to the others as an intermediate method by viewpoints of computational complexity or convergence rate.
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Abstract (Original Language): 
Bu makalede, adaptif filtre katsayılarını ayarlamak için GS (Gauss-Seidel) ve NLMS (Normalized Least Mean Squares) algoritmalarının birlikte kullanıldığı hibrid bir algoritma önerilmis ve ayrıca önerilen yeni algoritmanın yakınsama hızı, kararlılığı ve islem karmasıklığı incelenmistir. Önerilen algoritma yapılan bir benzetim çalısmasıyla yakınsama hızı ve islem yükü açısından benzer algoritmalarla karsılastırmalı olarak incelenmistir. Elde edilen sonuçlara göre, önerilen hibrid algoritmanın bir ara yöntem olarak islem karmasıklığı veya yakınsama hızı açısından diğer algoritmalara iyi bir alternatif olduğu görülmüstür.
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  • 2
85-97
  • Turkish

REFERENCES

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