Abstract

Noise is the unwanted signal that is added at the time of transmission of signals(data, audio, images or video). These unwanted noisy signals degrades the quality of original information signal. Since these noise parameters are not known in advance, these can be cancelled out effectively by using adaptive filters. Least mean squares (LMS) algorithm is one of the algorithms in adaptive filters used to find the filter coefficients used to reduce the noise signal. Focus of this paper will be to develop a simulink model to attenuate noise and recover the original image signal.

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