THE ROLE OF THE DISCRETE-TIME KALMAN-YAKUBOVITCH-POPOV LEMMA IN DESIGNING STATISTICALLY OPTIMUM FIR ORTHONORMAL FILTER BANKS t

We introduce a new approach to design FIR energy compaction filters of arbitrary order N . The optimization of such filters is important due to their close connection to the design of an M-channel orthonormal filter bank adapted to the input signal statistics. The novel procedure finds the optimum product filter Fopt(z) = Hopt(z)Hopt(z-') corresponding to the compaction filter Hopt(z ) . The idea is to express F ( z ) as D(z ) + D(z' ) and reformulate the compaction problem in terms of the state space realization of the causal function D(z) . For a fixed input power spectrum, the resulting filter Fopt(z) is guaranteed to be a global optimum due to the convexity of the new formulation. The new design method can be solved quite efficiently and with great accuracy using recently developed interior point methods and is extremely general in the sense that it works for any chosen M and any arbitrary filter length N . Finally, obtaining Hopt(z) from Fopt(z) does not require an additional spectral factorization step. The minimum phase spectral factor can be obtained automatically by relating the state space realization of Do,t(z) to that of H o p t ( z ) .