BUIR Repository :: Browsing by Author "Belge, Murat"

Item

Open Access

Adaptive filtering approaches for non-Gaussian stable processes

(IEEE, 1995-05) Arıkan, Orhan; Belge, Murat; Çetin, A. Enis; Erzin, Engin

A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this paper, α-stable distributions, which have heavier tails than Gaussian distribution, are considered to model non-Gaussian signals. Adaptive signal processing in the presence of such kind of noise is a requirement of many practical problems. Since, direct application of commonly used adaptation techniques fail in these applications, new approaches for adaptive filtering for α-stable random processes are introduced.

Item

Restricted

Althusser için

(1981) Belge, Murat

Item

Restricted

Berna Moran ile roman sanatı ve eleştiri üstüne

(1984) Belge, Murat

Item

Restricted

Birey ve roman

(1983) Belge, Murat

Item

Restricted

Devlet ana Kafka ve Amerika'sı

(1968) Belge, Murat

Item

Restricted

Edebiyatın, savaşa karşı bilincin gelişmesinde önemli rolü olmuştur; Acil Barış!

(1996) Belge, Murat

Item

Restricted

Fahim Bey ve biz

(1968) Belge, Murat

Item

Restricted

İnsanlar ve sanat; spor söylemi

(1982) Belge, Murat

Item

Open Access

Investigations on efficient adaptation algorithms

(1995) Belge, Murat

Efficient adaptation algorithms, which are intended to improve the performances of the LMS and the RLS algorithms are introduced. It is shown that nonlinear transformations of the input and the desired signals by a softlimiter improve the convergence speed of the LMS algorithm at no cost, with a small bias in the optimal filter coefficients. Also, the new algorithm can be used to filter a-stable non-Gaussian processes for which the conventional adaptive algorithms are useless. In a second approach, a prewhitening filter is used to increase the convergence speed of the LMS algorithm. It is shown that prewhitening does not change the relation between the input and the desired signals provided that the relation is a linear one. A low order adaptive prewhitening filter can provide significant speed up in the convergence. Finally, adaptive filtering algorithms running on roughly quantized signals are proposed to decrease the number of multiplications in the LMS and the RLS algorithms. Although, they require significantly less computations their preformances are comparable to those of the conventional LMS and RLS algorithms.