Efficient design of fixed point digital FIR filters by using differential evolution algorithm

KARABOĞA N., Çetinkaya B.

8th International Workshop on Artificial Neural Networks, IWANN 2005: Computational Intelligence and Bioinspired Systems, Vilanova i la Geltru, İspanya, 8 - 10 Haziran 2005, cilt.3512, ss.812-819 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 3512
  • Basıldığı Şehir: Vilanova i la Geltru
  • Basıldığı Ülke: İspanya
  • Sayfa Sayıları: ss.812-819
  • Erciyes Üniversitesi Adresli: Evet

Özet

Differential Evolution (DE) algorithm is a new heuristic approach which has been proposed particulary for numeric optimization problems. It is a population based algorithm like genetic algorithms using the similar operators; crossover, mutation and selection. In this work, DE algorithm has been applied to the design of fixed point digital Finite Impuls Response (FIR) filters and its performance has been compared to that of Genetic Algorithm (GA) and Least Squares Algorithm (LSQ). © Springer-Verlag Berlin Heidelberg 2005.