MINIMIZATION OF ACOUSTIC NOISE IN A BROADCASTING STUDIO USING AN ADAPTIVE NOISE CANCELLER

Onogwu J.O., Prof. Onoh G.N.

Abstract: This work presents the minimization of acoustic noise in the Nigerian broadcasting industry using the adaptive noise canceller. This was embarked upon to address the problem of poor quality of service due to acoustic noise in broadcasting studio. To achieve this, empirical study to determine the level of noise in the broadcasting signal was conducted at Dream FM radio station, via characterization. A model of adaptive noise canceller was then developed using least square algorithm and noise canceller algorithm. The noise canceller detects the noise in the broadcasting signal, and then the least square algorithm filters the noise using reference noise value and gives throughput of clear broadcast service. This adaptive noise cancelling scheme was deployed on the radio station mixer using Simulink and then simulated for results and evaluations. The result showed that noise was reduced from 0.56dB to 0.22dB.

Keywords: Acoustic Noise, Adaptive Noise Canceller, Least Square Algorithm, Broadcasting Signal.

Title: MINIMIZATION OF ACOUSTIC NOISE IN A BROADCASTING STUDIO USING AN ADAPTIVE NOISE CANCELLER

Author: Onogwu J.O., Prof. Onoh G.N.

International Journal of Electrical and Electronics Research  

ISSN 2348-6988 (online)

Research Publish Journals

Vol. 10, Issue 2, April 2022 - June 2022

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MINIMIZATION OF ACOUSTIC NOISE IN A BROADCASTING STUDIO USING AN ADAPTIVE NOISE CANCELLER by Onogwu J.O., Prof. Onoh G.N.