Abstract:
Noise acts as a disturbance in any form of
communication which degrades the quality of the
information signal. Adaptive noise cancellation
(ANC) is an alternative technique of estimating
signals corrupted by additive noise or
interference. The cancellation of noise can be
efficiently accomplished by using adaptive
filtering algorithms is implemented in this paper.
The color noise, babble noise, impulsive noise,
transient noise and other background noises are
considered. This system presents analysis of two
algorithms namely Least Mean Square (LMS) and
Normalized Least Mean Square (NLMS). The
algorithm is implemented in Matlab and tested for
noise reduction in speech signals. The
performance of the proposed method is evaluated
by using the Signal-to-Noise ratio (SNR).
According to the experimental results, the use of
NLMS algorithm will perform better performance
than the fixed step-size LMS algorithm.
