Improved normalised subband adaptive filter

Proposed is a subband adaptive filter, which is derived by minimising the sum of the squared Euclidean norms of the differences between the updated tap-weight vector and past tap-weight vectors subject to a set of constraints on the updated tap-weight vector of the adaptive filter. Simulation results show that the misalignment of the proposed subband adaptive filter is low in a relatively high background noise environment.