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...
|Authors:||M.T. Schiavoni, Moeness Amin|
|Conference Location:||Charlotte, NC|
|Conference Dates:||March 20-22, 1988|
|Proceedings Title:||20th Southeastern Symposium on System Theory|