원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.8 No.11
2015.11
pp.91-100
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
The hybrid technique of Swine Influenza Model Based Optimization (SIMBO) and Genetic Algorithm (GA) for designing linear phase FIR low pass filter has been presented in this paper. The major difficulties using SIMBO algorithm in designing filter was premature convergence and unacceptable computational cost. To address this problem, a hybrid SIMBO-GA is proposed where GA is used to help SIMBO escape from local optima and prevent premature convergence. DEPSO, GLPSO DVN are adopted for comparison. In contrast with aforementioned algorithms it has been divulged that hybrid SIMBO-GA seems to be promising tool for optimum FIR filter design.
목차
Abstract
1. Introduction
2. Digital Filter Design
3.1. SIMBO Algorithm
3.2. Genetic Algorithm (GA)
3.3. Steps for Hybridization
4. SIMBO based Digital Filter Design
5. Results and Discussion
5.1. Analysis of Magnitude Response of FIR Low Pas Filters
5.2. Comparative Analysis of Magnitude Response of Published Results
6. Conclusion
References
1. Introduction
2. Digital Filter Design
3.1. SIMBO Algorithm
3.2. Genetic Algorithm (GA)
3.3. Steps for Hybridization
4. SIMBO based Digital Filter Design
5. Results and Discussion
5.1. Analysis of Magnitude Response of FIR Low Pas Filters
5.2. Comparative Analysis of Magnitude Response of Published Results
6. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보