PROJECT TITLE :

Improved normalised subband adaptive filter

ABSTRACT:

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.


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