ENTROPY COMPARISON OF ADAPTIVE LINEAR COMBINER

This paper describes the concept of adaptive linear combiner adds up the intermediate estimates at the output of each prediction stage to give a final estimate of the RLS?LMS predictor. In the RLS?LMS predictor, the first prediction stage is a simple first-order predictor with a fixed coefficient value1.The second prediction stage uses the recursive least square algorithm to adaptively update the predictor coefficients. The subsequent prediction stages use the normalized least mean square algorithm to update the predictor coefficients. The coefficients of the linear combiner are then updated using the sign?sign least mean square algorithm. In chapter1 an adaptive filter is defined as a self-designing system that relies for its operation on a recursive algorithm which perform satisfactorily in an environment