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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

Figure 2.

Performance of delay analysis

Figure 3.

Performance of clock frequency analysis

Figure 4.

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
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Accepted on: Dec 15, 2023
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Published on: Sep 10, 2025
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.