Noise Cancellation using Least Mean Square Algorithm
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 10
Abstract
A revolution in science of electronics and communication has emerged in the last few decades, with the potential to create a paradigm shift in thinking about adaptive filtering. This Project involves the study of the principles of Adaptive Noise Cancellation (ANC) and its Applications. Adaptive noise Cancellation is an alternative technique of estimating signals corrupted by additive noise or interference. Its advantage lies in that, with no apriori estimates of signal or noise, levels of noise rejection are attainable that would be difficult or impossible to achieve by other signal processing methods of removing noise. Adaptive noise cancellation is an approach used for noise reduction in speech signal. As received signal is continuously corrupted by noise where both received signal and noise signal both changes continuously, then this arise the need of adaptive filtering. This paper deals with cancellation of noise on speech signal using an adaptive algorithm called least mean square (LMS) algorithm
Authors and Affiliations
Vedansh Thakkar
Keywords
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- EP ID EP392549
- DOI 10.9790/9622-0710034657.
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