Research Article

, 02 Jan 2026 | 10.62346/ijbsip_q1_v13_no1_26_02

Year : 2026 | Volume: 13 | Issue: 1 | Pages : 1-5

Signal-to-Noise Ratio Improvement in Audio Signals Contaminated with White Gaussian Noise Using FIR and IIR Filters

1Anna University Chennai, Faculty, Department of ECE, K. Ramakrishnan college of engineering, Tamilnadu, IN

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.

References

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Keywords: Audio Signal Processing; White Gaussian Noise (WGN); Signal-to-Noise Ratio (SNR); Finite Impulse Response (FIR) Filter; Infinite Impulse Response (IIR) Filter; Digital Filtering; Noise Reduction; Audio Enhancement

Citation: Dr.K. Priyadarshini*, Dr.K. Priyadarshini ( 2026), Signal-to-Noise Ratio Improvement in Audio Signals Contaminated with White Gaussian Noise Using FIR and IIR Filters. , 13(1): 1-5

Received: 10/12/2025; Accepted: 02/01/2026;
Published: 03/01/2026

Edited by:

Mr.ERES JOURNALS

Reviewed by:

*Correspondence: Dr.K. Priyadarshini, kpriyadarshiniece@krce.ac.in

Excellent Research in Engineeringand Science Publications

Research Article

Signal-to-Noise Ratio Improvement in Audio Signals Contaminated with White Gaussian Noise Using FIR and IIR Filters

References

Excellent Research in Engineering
and Science Publications