Optimal High Pass FIR Filter Based on Adaptive Systematic Cuckoo Search Algorithm
This paper presents the design of a desired linear phase digital Finite Impulse Response (FIR) High Pass (HP) filter based on Adaptive Systematic Cuckoo Search Algorithm (ACSA). The deviation, or error from the desired response, is assessed along with the stop-band and pass-band attenuation of the f...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2022-11-01
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| Series: | Cybernetics and Information Technologies |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/cait-2022-0046 |
| _version_ | 1811319894282600448 |
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| author | Bansal Puneet Gill Sandeep Singh |
| author_facet | Bansal Puneet Gill Sandeep Singh |
| author_sort | Bansal Puneet |
| collection | DOAJ |
| description | This paper presents the design of a desired linear phase digital Finite Impulse Response (FIR) High Pass (HP) filter based on Adaptive Systematic Cuckoo Search Algorithm (ACSA). The deviation, or error from the desired response, is assessed along with the stop-band and pass-band attenuation of the filter. The Cuckoo Search algorithm (CS) is used to avoid local minima because the error surface is typically non-differentiable, nonlinear, and multimodal. The ACSA is applied to the minimax criterion (L∞-norm) based error fitness function, which offers a better equiripple response for passband and stopband, high stopband attenuation, and rapid convergence for the developed optimal HP FIR filter algorithm. The simulation findings demonstrate that when compared to the Parks McClellan (PM), Particle Swarm Optimization (PSO), CRazy Particle Swarm Optimization (CRPSO), and Cuckoo Search algorithms, the proposed HP FIR filter employing ACSA leads to better solutions. |
| first_indexed | 2024-04-13T12:50:11Z |
| format | Article |
| id | doaj.art-594c1529ac0e49d9bd2d71137ac954eb |
| institution | Directory Open Access Journal |
| issn | 1314-4081 |
| language | English |
| last_indexed | 2024-04-13T12:50:11Z |
| publishDate | 2022-11-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Cybernetics and Information Technologies |
| spelling | doaj.art-594c1529ac0e49d9bd2d71137ac954eb2022-12-22T02:46:14ZengSciendoCybernetics and Information Technologies1314-40812022-11-0122416717710.2478/cait-2022-0046Optimal High Pass FIR Filter Based on Adaptive Systematic Cuckoo Search AlgorithmBansal Puneet0Gill Sandeep Singh1Department of Electronics & Communication Engineering, I. K. G. Punjab Technical University, Kapurthala, Punjab-144603, IndiaDepartment of Electronics & Communication Engineering, National Institute of Technical Teachers Training & Research, Chandigarh-160019, IndiaThis paper presents the design of a desired linear phase digital Finite Impulse Response (FIR) High Pass (HP) filter based on Adaptive Systematic Cuckoo Search Algorithm (ACSA). The deviation, or error from the desired response, is assessed along with the stop-band and pass-band attenuation of the filter. The Cuckoo Search algorithm (CS) is used to avoid local minima because the error surface is typically non-differentiable, nonlinear, and multimodal. The ACSA is applied to the minimax criterion (L∞-norm) based error fitness function, which offers a better equiripple response for passband and stopband, high stopband attenuation, and rapid convergence for the developed optimal HP FIR filter algorithm. The simulation findings demonstrate that when compared to the Parks McClellan (PM), Particle Swarm Optimization (PSO), CRazy Particle Swarm Optimization (CRPSO), and Cuckoo Search algorithms, the proposed HP FIR filter employing ACSA leads to better solutions.https://doi.org/10.2478/cait-2022-0046cuckoo search algorithmhigh pass filterminimaxswarm intelligenceweighted error |
| spellingShingle | Bansal Puneet Gill Sandeep Singh Optimal High Pass FIR Filter Based on Adaptive Systematic Cuckoo Search Algorithm Cybernetics and Information Technologies cuckoo search algorithm high pass filter minimax swarm intelligence weighted error |
| title | Optimal High Pass FIR Filter Based on Adaptive Systematic Cuckoo Search Algorithm |
| title_full | Optimal High Pass FIR Filter Based on Adaptive Systematic Cuckoo Search Algorithm |
| title_fullStr | Optimal High Pass FIR Filter Based on Adaptive Systematic Cuckoo Search Algorithm |
| title_full_unstemmed | Optimal High Pass FIR Filter Based on Adaptive Systematic Cuckoo Search Algorithm |
| title_short | Optimal High Pass FIR Filter Based on Adaptive Systematic Cuckoo Search Algorithm |
| title_sort | optimal high pass fir filter based on adaptive systematic cuckoo search algorithm |
| topic | cuckoo search algorithm high pass filter minimax swarm intelligence weighted error |
| url | https://doi.org/10.2478/cait-2022-0046 |
| work_keys_str_mv | AT bansalpuneet optimalhighpassfirfilterbasedonadaptivesystematiccuckoosearchalgorithm AT gillsandeepsingh optimalhighpassfirfilterbasedonadaptivesystematiccuckoosearchalgorithm |