Open AccessHum Noise Reduction using Novel Complementary Pair VSSLMS Algorithm
Author(s) -
Saurabh R Prasad,
A. D. Kadage,
Sachin M. Karmuse,
Shrinivas A Patil,
Dr Bhalchandra B Godbole
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1363.109119
Subject(s) - hum , algorithm , noise reduction , noise (video) , signal (programming language) , computer science , fourier transform , discrete fourier transform (general) , reduction (mathematics) , speech recognition , short time fourier transform , mathematics , fourier analysis , artificial intelligence , art , mathematical analysis , geometry , performance art , programming language , image (mathematics) , art history
This paper presents a novel Complementary Pair Variable Step-size (CPVSS) Least Mean Square Algorithm which is implemented for active noise cancellation application. The result presents the effect of filtration to remove the 50 Hz ac hum noise from the 500 Hz audio tone. Discrete Fourier Transform, Short Time Fourier Transform, and Welch Periodogram of the noisy signal and filtered signal have been presented which shows effective improvement in SNR. The simulation study has shown the superiority of this algorithm over other algorithms under consideration.