A Comparative Study on Characteristics and Properties of Adaptive Algorithms applied to Noise Cancellation Techniques

Adaptive algorithms offer a wide area of research in the field of digital signal processing. If the received signal is changing with time so as the noise the need for predictive algorithms to be adaptive with the changes becomes predominant further noise being a random signal strongly needs an adaptive approach for analysis and thus presents a wide scope for research. This paper presents a basic comparative study of various adaptive algorithms such as least mean square (LMS) algorithm, recursive least square (RLS) algorithm and other adaptive algorithms with their application in active noise cancellation. The purpose of presenting this paper is to provide an insight of the initial building blocks of an adaptive algorithm for use in development of further complex algorithms.