Phase Response Design of Recursive All-Pass Digital Filters Using a Modified PSO Algorithm

• Published in: Computational Intelligence and Neuroscience Vol. 2015; no. 2015; pp. 890 - 896
• Main Author: Chang, Wei-Der
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Limiteds 01.01.2015; Hindawi Publishing Corporation; John Wiley & Sons, Inc
• Subjects: Algorithms; Allergies; Computer Simulation; Computer-Aided Design; Design specifications; Digital filters; Eigenvalues; Linear Models; Mathematical analysis; Mathematical models; Mathematical optimization; Neural networks; Optimization; Oscillators; Population; Recursive; Signal Processing, Computer-Assisted; Swarm intelligence; Vectors (mathematics)
• ISSN: 1687-5265; 1687-5273; 1687-5273
• DOI: 10.1155/2015/638068

This paper develops a new design scheme for the phase response of an all-pass recursive digital filter. A variant of particle swarm optimization (PSO) algorithm will be utilized for solving this kind of filter design problem. It is here called the modified PSO (MPSO) algorithm in which another adjusting factor is more introduced in the velocity updating formula of the algorithm in order to improve the searching ability. In the proposed method, all of the designed filter coefficients are firstly collected to be a parameter vector and this vector is regarded as a particle of the algorithm. The MPSO with a modified velocity formula will force all particles into moving toward the optimal or near optimal solution by minimizing some defined objective function of the optimization problem. To show the effectiveness of the proposed method, two different kinds of linear phase response design examples are illustrated and the general PSO algorithm is compared as well. The obtained results show that the MPSO is superior to the general PSO for the phase response design of digital recursive all-pass filter.