A Linearly constrained Minimization Approach to Adaptive Linear Phase and Notch Filters

The linearly constrained least-squares problems are implemented using unconstrained formulation and applied to both adaptive prediction and estimation. This formulation is similar to the one used in the generalized sidelobe canceler, where the constraints are incorporated through a decomposition of...

Full description

Authors: M.T. Schiavoni, Moeness Amin
Conference Location: Charlotte, NC
Conference Dates: March 20-22, 1988
Proceedings Title: 20th Southeastern Symposium on System Theory
Format: Conference Proceeding
Published: 1988
Online Access: Full Text