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

Researchers have recently observed a significant increase in the use of evolutionary optimization in the construction of digital FIR filters based on frequency domain specifications. A linear-phase finite-impulse response (LP-FIR) filter, utilizing Henry gas solubility optimization (HGSO) approaches, is designed in this study for creating highpass, low-pass, band-pass and band-stop filters. The proposed work is compared with existing methods such as Design and Analysis of LP-FIR utilizing the water strider optimization algorithm (DALP-FIR-WSOA) and digital predetection equalizer (DPE) using a FIR filter field programmable gate array (FIR-GOA). It achieves the objective competently using reduced ripples at high filter, as well as higher attenuation at low pass and a band-pass filter at low executional time.