International Journal of Telecommunications & Emerging Technologies
ADAPTIVE NOISE CANCELLATION USING NORMALIZED LMS ALGORITHM
Abstract
ABSTRACT An adaptive filter is a digital filter that self adjusts its transfer function according to an optimizing algorithm. There are a number of optimizing algorithms available, but the performance, simplicity and stability of LMS algorithms outweigh other algorithms, thus LMS algorithm have become increasingly popular. The digital filter structure used in adaptive filtering is usually FIR with transversal or tapped delay line realization. Adaptive filtering is one of the core technologies in digital signal processing and finds diversified applications such as echo cancellation, channel equalization, system identification, adaptive noise cancellation, and adaptive beamforming. This paper presents Simulink implementation of an adaptive filter using normalized least mean square (NLMS) algorithms to reduce unwanted noise and thus improving signal quality. KEYWORDS Adaptive Filtering, Transversal Filter, Noise Cancellation, Normalized LMS Algorithm, SimulinkReferences (14)
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