Data selective partial-update affine projection algorithm

This paper proposes an affine projection adaptive filtering algorithm incorporating a data selection strategy based on the set-membership concept along with a partial update technique. The resulting algorithm is flexible in the sense that it allows more general tradeoff between speed of convergence and misadjustment while constraining the overall computational complexity. Simulation experiments in a typical echo cancellation environment confirm the effectiveness of the proposed algorithm.