Abstract

This journal discusses the role of Finite Impulse Response and Infinite Impulse Response filters for the rescue of audio signals disrupted by White Gaussian Noise (WGN). Audio signals are used as a medium for communicating information, but they can be easily disrupted by environmental noise. White Gaussian Noise is a primary contributor to the degradation of the audio signal, resulting in a decrease in signal quality. In such cases, the issue of upgrading the Signal-to-Noise Ratio (SNR) is considered one of the most important problems in the field of digital signal processing. It involves the creation and implementation of the FIR and IIR filtering techniques and their subsequent comparative performance evaluation in terms of SNR enhancement and computational efficiency. The findings highlight that while FIR filters offer linear phase characteristics and greater stability, IIR filters achieve better noise suppression with fewer coefficients.