Complex-Valued Least Mean Kurtosis Adaptive Filter Algorithm

Küçük Resim Yok

Tarih

2016

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Yayıncı

Ieee

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

In this study, a complex-valued least mean Kurtosis (CLMK) adaptive filter algorithm is designed for processing complex-valued signals. The performance of the designed algorithm is tested on a complex-valued system identification and compared the complex-valued least mean square (CLMS) and complex-valued normalized least mean square (CNLMS) algorithms. As a result, the CLMK algorithm shows a higher performance than the other algorithms in terms of the convergence rate, mean square error (MSE) and mean square deviation (MSD).

Açıklama

24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEY
Menguc, Engin Cemal/0000-0002-0619-549X

Anahtar Kelimeler

complex-valued adaptive filter, complex-valued system identification, complex-valued least mean Kurtosis algorithm

Kaynak

2016 24Th Signal Processing And Communication Application Conference (Siu)

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