• DocumentCode
    629273
  • Title

    Linear infinite impulse response system identification using harmony search algorithm

  • Author

    Saha, Samar K. ; Kar, Rajib ; Mandal, Durbadal ; Ghoshal, Sakti Prasad

  • Author_Institution
    Dept. of ECE, NIT, Durgapur, India
  • fYear
    2013
  • fDate
    3-5 April 2013
  • Firstpage
    154
  • Lastpage
    158
  • Abstract
    In this paper an efficient optimization technique called Harmony Search (HS) algorithm is considered for IIR adaptive system identification problem. The proposed technique HS performs a structured randomized search of an unknown vector within a multidimensional search space for finding the optimal solution. Better exploration and exploitation of entire search space ensure the avoidance of premature convergence and stagnation problems which are more or less usually present with conventional RGA, PSO and DE. The simulation results justify the optimization efficacy of the proposed HS based identification technique over RGA, PSO and DE.
  • Keywords
    IIR filters; convergence; genetic algorithms; particle swarm optimisation; random processes; search problems; DE; HS algorithm; HS based identification technique; IIR adaptive system identification problem; PSO; conventional RGA; harmony search algorithm; linear infinite impulse response system identification; multidimensional search space; optimal solution; optimization efficacy; optimization technique; premature convergence; stagnation problems; structured randomized search; Algorithm design and analysis; Convergence; IIR filters; Optimization; Particle swarm optimization; Signal processing algorithms; Vectors; DE; Evolutionary Optimization Techniques; HS; IIR Adaptive Filter; PSO; RGA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2013 International Conference on
  • Conference_Location
    Melmaruvathur
  • Print_ISBN
    978-1-4673-4865-2
  • Type

    conf

  • DOI
    10.1109/iccsp.2013.6577035
  • Filename
    6577035