Linear prediction with adaptive filters by using clonal selection algorithm

Caglikantar T., KURBAN R.

IEEE 15th Signal Processing and Communications Applications Conference, Eskişehir, Türkiye, 11 - 13 Haziran 2007, ss.766-767 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2007.4298666
  • Basıldığı Şehir: Eskişehir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.766-767
  • Erciyes Üniversitesi Adresli: Evet

Özet

In this paper, linear prediction of signals is realized with an adaptive filter structure using a clonal selection algorithm (CLONALG). The performances of gradient based least mean squares method and the clonal selection algorithm are compared Furthermore, the effect of the adaptive filter order for proposed approach on the performance is examined and with higher order filters smaller prediction errors are obtained Also, it is seen that the dependence of the clonal selection algorithm to the design parameters is less than the conventional methods.