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DOI: 10.14569/IJACSA.2018.090936
PDF

Design of Linear Phase High Pass FIR Filter using Weight Improved Particle Swarm Optimization

Author 1: Adel Jalal Yousif
Author 2: Ghazwan Jabbar Ahmed
Author 3: Ali Subhi Abbood

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 9, 2018.

  • Abstract and Keywords
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Abstract: The design of Finite Impulse Response (FIR) digital filter involves multi-parameter optimization, while the traditional gradient-based methods are not effective enough for precise design. The aim of this paper is to present a method of designing 24th order high pass FIR filter using an evolutionary heuristic search technique called Weight Improved Particle Swarm Optimization (WIPSO). A new function of the weight parameters is constructed for obtaining a better optimal solution with faster computation. The performance of the proposed algorithm is compared with two other search optimization algorithms namely standard Genetic Algorithm (GA) and conventional Particle Swarm Optimization (PSO). The simulation results show that the proposed WIPSO algorithm is better than GA and PSO in terms of the magnitude response accuracy and the convergence speed for the design of 24th order high pass FIR filter.

Keywords: Finite impulse response filter; evolutionary optimization; particle swarm optimization; fitness function; genetic algorithm; high pass filter; impulse response

Adel Jalal Yousif, Ghazwan Jabbar Ahmed and Ali Subhi Abbood, “Design of Linear Phase High Pass FIR Filter using Weight Improved Particle Swarm Optimization” International Journal of Advanced Computer Science and Applications(IJACSA), 9(9), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090936

@article{Yousif2018,
title = {Design of Linear Phase High Pass FIR Filter using Weight Improved Particle Swarm Optimization},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090936},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090936},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {9},
author = {Adel Jalal Yousif and Ghazwan Jabbar Ahmed and Ali Subhi Abbood}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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