Adaptive paraunitary filter banks for principal and minor subspace analysis

Paraunitary filter banks are important for several signal processing tasks. We consider the task of adapting the coefficients of a multichannel FIR paraunitary filter bank via gradient ascent or descent on a chosen cost function. The proposed generalized algorithms inherently adapt the system´s parameters in the space of paraunitary filters. Modifications and simplifications of the techniques for spatio-temporal principal and minor subspace analysis are described. Simulations verify one algorithm´s useful behavior in this task