Computer Science – Information Theory
Scientific paper
2010-10-14
Computer Science
Information Theory
10 pages
Scientific paper
10.1109/TIT.2011.2158062
Classical Gaussian white noise in communications and signal processing is viewed as the limit of zero mean second order Gaussian processes with a compactly supported flat spectral density as the support goes to infinity. The difficulty of developing a theory to deal with nonlinear transformations of white noise has been to interpret the corresponding limits. In this paper we show that a renormalization and centering of powers of band-limited Gaussian processes is Gaussian white noise and as a consequence, homogeneous polynomials under suitable renormalization remain white noises.
Balakrishnan A. V.
Mazumdar Ravi R.
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