Abstract:
"Study and Implementation of Modem Adaptive
Noise Cancellation Technique" consists of two major parts:
"analysis and simulation" of noise cancellation algorithms
and implementation of one of the algorithm using DSP
hardware. The analysis and simulation work is divided into
two major categories: LMS algorithms and RLS
algorithms. In this project, three variants of the LMS
algorithm and standard RLS algorithm are analyzed. The
simulation results and the program listing are listed in the
appendices. An evaluation kit with the ADSP 2181
processor is used to implement the algorithm. The
assembly language code for implementation is listed in the
Appendices.//
Adaptive Noise Cancellation is used to remove
background noise from useful signals. This is an
extremely useful technique where a signal is submerged in
a very noisy environment. The usual method of estimating
a signal corrupted by additive noise is to pass the distorted
signal through a filter that tends to suppress the noise
while leaving the signal relatively unchanged. Adaptive
noise cancellation is performec when there is no prior
knowledge of the signal and the noise sources or when the
noise is within the signal bandwidth.
