Now showing items 1-9 of 9

    • Adaptive filtering approaches for non-Gaussian stable processes 

      Arıkan, Orhan; Belge, Murat; Çetin, A. Enis; Erzin, Engin (IEEE, 1995-05)
      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 ...
    • Adaptive filtering for non-gaussian stable processes 

      Arıkan, Orhan; Çetin, A. Enis; Erzin, E. (IEEE, 1994)
      A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this letter, a-stable distributions, which have heavier tails than Gaussian distribution, are considered to model non-Gaussian ...
    • Cumulant based identification approaches for nonminimum phase FIR systems 

      Alshebeili, S. A.; Venetsanopoulos, A. N.; Çetin, A. Enis (IEEE, 1993)
      In this paper, recursive and least squares methods for identification of nonminimum phase linear time-invariant (NMP-LTI) FIR systems are developed. The methods utilize the second- and third-order cumulants of the output ...
    • Equiripple FIR filter design by the FFT algorithm 

      Çetin, A. Enis; Gerek, Ö. N.; Yardımcı, Y. (Institute of Electrical and Electronics Engineers, 1997-03)
      The fast Fourier transform (FFT) algorithm has been used in a variety of applications in signal and image processing. In this article, a simple procedure for designing finite-extent impulse response (FIR) discrete-time ...
    • Morphological subband decomposition structure using GF(N) arithmetic 

      Gürcan, Metin Nafi; Çetin, A. Enis; Gerek, Ömer, N. (IEEE, 1996-09)
      Linear filter banks with critical subsampling and perfect reconstruction (PR) property have received much interest and found numerous applications in signal and image processing. Recently, nonlinear filter bank structures ...
    • Optimal filtering in fractional Fourier domains 

      Kutay, M. A.; Haldun M. Özaktaş; Arıkan, Orhan (Institute of Electrical and Electronics Engineers, 1997-05)
      For time-invariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N log N) time, gives the minimum mean-square-error estimate of the original ...
    • Reducing the dispersion errors of the finite-difference time-domain method for multifrequency plane-wave excitations 

      Oğuz, U.; Gürel, Levent (Taylor & Francis, 2003)
      We demonstrate the applications of discrete-time signal-processing (SP) techniques for the purpose of generating accurate plane waves in the finite-difference time-domain (FDTD) method. The SP techniques are used either ...
    • Signal-processing techniques to reduce the sinusoidal steady-state error in the FDTD method 

      Gürel, Levent; Uğur, O. (IEEE, 2000-04)
      Techniques to improve the accuracy of the finite-difference time-domain (FDTD) solutions employing sinusoidal excitations are developed. The FDTD computational domain is considered as a sampled system and analyzed with ...
    • Teager energy based feature parameters for speech recognition in car noise 

      Jabloun, F.; Çetin, A. Enis; Erzin, E. (Institute of Electrical and Electronics Engineers, 1999-10)
      In this letter, a new set of speech feature parameters based on multirate signal processing and the Teager energy operator is introduced. The speech signal is first divided into nonuniform subbands in mel-scale using a ...