International Journal of Computational Intelligence Systems

<Previous Article In Issue
Next Article In Issue>
Volume 10, Issue 1, 2017, Pages 1036 - 1055

Structure Evolution Based Optimization Algorithm for Low Pass IIR Digital Filter Design

Authors
Lijia Chen1, chenlijia just@163.com, Mingguo Liu1, mingguo@mail.ustc.edu.cn, Jianfeng Yang2, Jeffyang@whu.edu.cn, Jing Wu2, silencewu@whu.edu.cn, Zhen Dai1, daizhen@henu.edu.cn
1Laboratory of Advanced Computation Methods and Intelligent Applications, School of Physics and Electronics, Henan University, Jinming Avenue 1, Kaifeng, 475004, China
2School of Electronic Information, Wuhan University, Bayi Road 299, Wuhan, 430072, China
Received 29 December 2016, Accepted 28 June 2017, Available Online 13 July 2017.
DOI
10.2991/ijcis.2017.10.1.69How to use a DOI?
Keywords
structure evolution; genetic algorithm; digital filter design; linear phase
Abstract

Digital filters are generally designed by identifying the transfer functions. Most researches are focused on the goal of approaching the desired frequency response, and take less additional consideration of structure characteristics which can greatly affect the performance of the digital filter. This paper proposes a structure-evolution based optimization algorithm (SEOA) which allows the integrated consideration of structure issues and frequency response specifications in design stage. The method generates digital filter structures by a structurally automatic-generation algorithm (SAGA) which can randomly generate and effectively represent digital structures. The structures, seen as chromosomes, are evolved over genetic algorithm (GA) for the search of the optimal solution in structure space. They are evaluated according to the mean squared error (MSE) between the designed and the desired frequency responses. Simulation results validate that the algorithm designs diversified structures of digital filters and they meet target frequency specifications and structure constraints tightly. It is a promising way for optimized and automated design of digital filters.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Download article (PDF)
View full text (HTML)

<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
10 - 1
Pages
1036 - 1055
Publication Date
2017/07/13
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2017.10.1.69How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Lijia Chen
AU  - Mingguo Liu
AU  - Jianfeng Yang
AU  - Jing Wu
AU  - Zhen Dai
PY  - 2017
DA  - 2017/07/13
TI  - Structure Evolution Based Optimization Algorithm for Low Pass IIR Digital Filter Design
JO  - International Journal of Computational Intelligence Systems
SP  - 1036
EP  - 1055
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2017.10.1.69
DO  - 10.2991/ijcis.2017.10.1.69
ID  - Chen2017
ER  -