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Design and Analysis of Linear-Phase Finite-Impulse Response Filter Using Henry Gas Solubility Optimization Algorithm Cover

Design and Analysis of Linear-Phase Finite-Impulse Response Filter Using Henry Gas Solubility Optimization Algorithm

Open Access
|Sep 2025

Figures & Tables

Figure 1.

Overall working principle of LP-FIR filter using HGSO approach
Overall working principle of LP-FIR filter using HGSO approach

Figure 2.

Performance of delay analysis
Performance of delay analysis

Figure 3.

Performance of clock frequency analysis
Performance of clock frequency analysis

Figure 4.

Simulation waveform of the proposed LP-FIR-HGSO filter
Simulation waveform of the proposed LP-FIR-HGSO filter

Optimized filter coefficient of 20th-order linear-phase high-pass finite-impulse response filter

G(σ)LP-FIR-WSOADPE-FIR-GOADALP-FIR-HGSO(Proposed)
G(1) = G(21)0.02138759510.01125834010.040585314
G(5) = G(17)0.01964487610.02265678410.0312000947
G(10) = G(12)0.35550125420.35986272500.5243449152

Types of LP-FIR filter

Filter typesg(m)pPhase offset β*End-point zerosCandidate Filters
1Even symmetryEven filter order0NoneLow pass, Band pass, High pass,
2Even symmetryOdd filter order0zero = –1Low pass, Band pass
3Odd symmetryEven filter orderλ/2zero = ±1Band pass
4Odd symmetryOdd filter orderλ/2zero = +1Band pass, High pass

Optimized filter coefficient of 20th-order linear-phase high-pass FIR filter

G(σ)LP-FIR-WSOADPE-FIR-GOADALP-FIR-HGSO(Proposed)
G(1) = G(21)0.02638759310.01245834000.028588311
G(5) = G(17)0.02501487610.00113678410.0302000547
G(10) = G(12)0.40550105410.38386275500.5143459152

20th-order linear-phase band-pass finite-impulse-response filter analysis at pass band

LP-FIR-WSOADPE-FIR-GOADALP-FIR-HGSO (Proposed)
Maximum pass ripple1.021.011
Mean10.850.25
Variance0.700.450.30
Standard Deviation1.450.550.09

Optimized filter coefficient of 20th-order linear-phase band-pass finite-impulse-response filter

G(σ)LP-FIR-WSOADPE-FIR-GOADALP-FIR-HGSO(Proposed)
G(1) = G(21)0.02538759510.01625834010.038585314
G(5) = G(17)0.01164487610.00179678410.0312000947
G(10) = G(12)0.38450125420.22286272500.4553449152

20th-order linear-phase high-pass finite-impulse response filter analytics at pass band

LP-FIR-WSOADPE-FIR-GOADALP-FIR-HGSO (Proposed)
Maximum pass ripple0.00950.00450.0035
Mean0.00750.0070.0048
Variance0.00460.00650.004
Standard Deviation0.00990.0090.006

20th-order linear-phase band-stop finite-impulse-response filter analysis in pass band

LP-FIR-WSOADPE-FIR-GOADALP-FIR-HGSO (Proposed)
Maximal pass ripple1.251.151
Mean1.21.291.05
Variance0.450.650.2
Standard Deviation0.20.210.19

Optimized filter coefficients for 20th-order linear-phase band-pass finite-impulse-response filters

G(σ)LP-FIR-WSOADPE-FIR-GOADALP-FIR-HGSO(Proposed)
G(1) = G(21)0.02538759510.01225834010.039585314
G(5) = G(17)0.02564487610.00165678410.0312000947
G(10) = G(12)0.48550125420.32986272500.5143449152
DOI: https://doi.org/10.14313/jamris-2025-023 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Language: English
Page range: 38 - 44
Submitted on: Sep 30, 2023
Accepted on: Dec 15, 2023
Published on: Sep 10, 2025
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Thangaraj Meena, Jampani Chandra Sekhar, Perumal Anandan, Ganesan Vinoth Chakkaravarthy, Muthaiyan Elumalai, Bellarmine Anni Princy, Thirumala Reddy Vijaya Lakshmi, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.