DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-5,Issue-12 ( Dec, 2018 ) | |||||||||
Paper Title |
Optimal Design of LP and HP Digital IIR Filter using Group Search Optimization Algorithm | |||||||||
Author Name |
Damanpreet Singh, Ranjit Kaur | |||||||||
Affilition |
Department of Computer Science and Engineering, Sant Longowal Institute of Engineering and Technology Longowal, India Department of Electronics and Communication Engineering, Punjabi University, Patiala, India | |||||||||
Pages |
24-28 | |||||||||
Abstract |
Animal search behavior and group living based global optimization technique namely group search optimization (GSO) algorithm, is applied in this paper in order to optimize the magnitude response of low pass (LP) and high pass (HP) infinite impulse response (IIR) digital filter. The optimized filter coefficients of LP and HP filter are obtained with GSO in order to achieve minimum magnitude response error along with reduced pass band and stop band ripples with guaranteed stability. The obtained results are compared to those obtained by the well known evolutionary algorithms. The comparison of results reveals that the proposed GSO algorithm performs better for the multimodal design problem of digital IIR filter. Keywords - Digital Infinite Impulse Response Filters, Group Search Optimization, Magnitude Response, Stability, LP-norm Error | |||||||||
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