Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/9997723,
  title    = {Supremacy of Differential Evolution Algorithm in Designing Multiplier-Less Low-Pass FIR Filter},
  author    = {Abhijit Chandra and  Sudipta Chattopadhyay},
  country   = {India},
  institution={Indian Institute of Engineering Science and Technology, Shibpur},
  abstract  = {In this communication, we have made an attempt to design multiplier-less low-pass finite impulse response (FIR) filter with the aid of various mutation strategies of Differential Evolution (DE) algorithm. Impulse response coefficient of the designed FIR filter has been represented as sums or differences of powers of two. Performance of the proposed filter has been evaluated in terms of its frequency response and associated hardware cost. Supremacy of our approach has been substantiated by comparing our result with many of the existing multiplier-less filter design algorithms of recent interest. It has also been demonstrated that DE-optimized filter outperforms Genetic Algorithm (GA) based design by a large margin.  Hardware efficiency of our algorithm has further been validated by implementing those filters on a Field Programmable Gate Array (FPGA) chip.
},
    journal   = {International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering},  volume    = {8},
  number    = {2},
  year      = {2014},
  pages     = {332 - 341},
  ee        = {http://waset.org/publications/9997723},
  url       = {http://waset.org/Publications?p=86},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 86, 2014},
}