ABSTRACT
As pointed out in Chapter 3, supervised signal processing is characterized by the presence of a desired or reference signal that guides the process of parameter optimization and/or adaptation. The reference signal can also be replaced by a set of constraints, as shown in the discussion on LCMV and prediction-error filters (PEF). Even so, the problem can be solved within a framework of linear optimal filtering.
