Easy-to-compute parameterizations of all wavelet filters: input-output and state-space

We here use notions from the theory linear shift-invariant dynam-ical systems to provide an explicit characterization, both practical and computable , of all rational wavelet filters. For a given N , (N ≥ 2) the number of inputs, the construction is based on a factorization to an elementary wavelet filter along with of m elementary unitary matrices. We shall call this m the index of the filter. It turns out that the resulting wavelet filter is of McMillan degree N 1 2 (N − 1) + m. Moreover, beyond the parameters N and m, one confine the spectrum of the filters to lie in an open disk of radius ρ (stable filters mean ρ ∈ [0, 1] and for FIR take ρ = 0). Then all filters can be described by a convex set of parameters [0, π) × [0, 2π) 2(N−1) × [0, ρ) m. Rational wavelet filters bounded at infinity, admit state space realization. The above input-output parametrization is exploited for a step-by-step construction (where in each, the index m is increased by one) of state space model of wavelet filters.