Spherical subspace and eigen based affine projection algorithms

In this paper, we combine spherical subspace (SS) and eigen based updating methods with the a ne projection (AP) method to produce a new family of fast SS-AP algorithms that o ers additional tradeo s between computation and adaptive ltering performance. Moreover, the implementation of SS-AP is less complicated than the fast RLS based AP algorithms. For certain applications, e.g., echo cancellation and equalization in digital subscriber loop (DSL) transceivers, SS-AP o ers performance that is comparable to AP, but at computational costs that are less than the fast AP algorithms.