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<p>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.</p>
</abstract>

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.

Optimal High Pass FIR Filter Based on Adaptive Systematic Cuckoo Search Algorithm

Department of Electronics & Communication Engineering

University Institute of Engineering & Technology, Kurukshetra University

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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...

Optimal High Pass FIR Filter Based on Adaptive Systematic Cuckoo Search Algorithm

Online veröffentlicht: 10. Nov. 2022

Seitenbereich: 167 - 177

Eingereicht: 21. Aug. 2022

Akzeptiert: 21. Okt. 2022

DOI: https://doi.org/10.2478/cait-2022-0046

Schlüsselwörter
Cuckoo search algorithm, High pass filter, Minimax, Swarm Intelligence, Weighted error

© 2022 Puneet Bansal et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Optimal High Pass FIR Filter Based on Adaptive Systematic Cuckoo Search Algorithm

Online veröffentlicht: 10. Nov. 2022

Seitenbereich: 167 - 177

Eingereicht: 21. Aug. 2022

Akzeptiert: 21. Okt. 2022

DOI: https://doi.org/10.2478/cait-2022-0046

SchlüsselwörterCuckoo search algorithm, High pass filter, Minimax, Swarm Intelligence, Weighted error

© 2022 Puneet Bansal et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Cuckoo search algorithm, High pass filter, Minimax, Swarm Intelligence, Weighted error