Abstract :
Proposed is a low complexity dynamically regularised recursive least squares (RLS) adaptive filtering algorithm based on dichotomous co-ordinate descent iterations. The complexity of the proposed algorithm is reduced to 𝒪(N 2), N being the filter length, compared to 𝒪(N 3) for a directly regularised RLS algorithm. Field programmable gate array implementation shows that the proposed algorithm is hardware efficient.
