SVD properties of orthogonal two-channel filter banks

We study the Singular Value Decomposition (SVD) of the three building blocks of the matrix representation of two-channel orthogonal filter banks. We show the highly structured decomposition of these blocks and derive their mutual relations. We give examples to exploit the SVD properties in the implementation and design of orthogonal filter banks and wavelets.