A recently developed Schur-type matrix approximation technique is appl
ied to subspace estimation. The method is applicable if an upper bound
of the noise level is approximately known. The main feature of the al
gorithm is that updating and downdating is straightforward and efficie
nt and that the subspace dimension is elegantly tracked as well.