Fast RLS with parallel computations

Abstract

The paper presents parallel forms of the sliding window fast RLS algorithms with the regularization of adaptive filter correlation matrix. The new algorithms are mathematically identical to the appropriate algorithms with sequential computations, but can be implemented by means of parallel processors. The algorithms are based on the using of the generalized matrix inversion lemma. They can be used for the processing of non-stationary signals.