Invertibility of higher order moment matrices

Signal processing algorithms based on Volterra filter structures often require that a matrix composed of higher order moments of the underlying process be invertible. Previously, this problem has been studied for uncorrelated random variables. The paper establishes conditions under which a wide class of correlated processes have invertible higher order moment matrices.<
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