Journals Information
Universal Journal of Electrical and Electronic Engineering Vol. 2(6), pp. 249 - 253
DOI: 10.13189/ujeee.2014.020602
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Fuzzy Adaptive Modified PSO Algorithm Assisted to Design of Six Order Elliptic Low Pass Filter
Majid Akhlaghi *
Young Researchers and Elite Club, Omidieh Branch, Islamic Azad University, Omidieh, Iran
ABSTRACT
To provide cost-effective communication systems for separate a signal into different frequency region and eliminate adverse signals and harmonics, Fuzzy Adaptive Modified particle swarm optimization (FAMPSO) method was used to have an optimized gain ripple of 6th order elliptic low pass filter with 300 MHz cut-off frequency. The feasibility and effectiveness of the FAMPSO algorithm is demonstrated and results are compared with PSO algorithm. It is shown that FAMPSO has high quality solution, superior convergence characteristics and shorter computation time.
KEYWORDS
Optimization Algorithm, Low Pass Filter
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Majid Akhlaghi , "Fuzzy Adaptive Modified PSO Algorithm Assisted to Design of Six Order Elliptic Low Pass Filter," Universal Journal of Electrical and Electronic Engineering, Vol. 2, No. 6, pp. 249 - 253, 2014. DOI: 10.13189/ujeee.2014.020602.
(b). APA Format:
Majid Akhlaghi (2014). Fuzzy Adaptive Modified PSO Algorithm Assisted to Design of Six Order Elliptic Low Pass Filter. Universal Journal of Electrical and Electronic Engineering, 2(6), 249 - 253. DOI: 10.13189/ujeee.2014.020602.