  This paper gives a broader insight on the application of adaptive filter in
noise cancellation during various processes where signal is transmitted.
Adaptive filtering techniques like RLS, LMS and normalized LMS are used to
filter the input signal using the concept of negative feedback to predict its
nature and remove it effectively from the input. In this paper a comparative
study between the effectiveness of RLS, LMS and normalized LMS is done based on
parameters like SNR (Signal to Noise ratio), MSE (Mean squared error) and cross
correlation. Implementation and analysis of the filters are done by taking
different step sizes on different orders of the filters.
