Spectra and Covariances for 'Classical' Nonlinear Signal Processing Problems Involving Class A Non-Gaussian Noise
NAVAL UNDERWATER SYSTEMS CENTER NEW LONDON CT
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Because of the critical role of non-Gaussian noise processes in modern signal processing, which usually involves nonlinear operations, it is important to examine the effects of the latter on such noise and the extension to added signal inputs. Here, only non-Gaussian specifically CLass A noise inputs, with an additive Gaussian component, are considered. The classical problems of zero-memory nonlinear ZMNL devices serve to illustrate the approach and to provide a variety of useful output statistical quantities, e.g., mean or dc values, mean intensities, covariances, and their associated spectra. Here, Gaussian and non-Gaussian noise fields are introduced, and their respective temporal and spatial outputs are described and numerically evaluated for representative parameters of the noise and the ZMNL devices.