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 approaches (HGSOA) is designed in this manuscript for designing high pass, low pass then band pass and band stop filters. Proposed work is compared through existing methods such as Design and Analysis of LP-FIR utilizing Water Strider Optimization Algorithm (DALP-FIR-WSOA) and Digital Pre-detection Equalizer (DPE) Using a FIR Filter Field Programmable Gate Array (FIR-GOA).It gives a result of objective competently by reduced ripples at high filter as well as higher attenuation at low pass and band pass filter by low executional time.