4.2. White noise#
4.2.1. Definition#
Definition 4.2 (White noise - properties)
A white noise is a random process with
zero expected value
\[\mathbb{E}[ \xi(t) ] = 0\]Dirac delta correlation
\[\mathbb{E}[ \xi(t) \xi(s) ] = \delta(t-s)\]
todo link to math:functional-analysis:distributions
Definition 4.3 (White noise - time derivative of Wiener process \(W(t)\) in the sense of distributions)
todo
4.2.2. External links#
White noise in shape filters for shaping non-Gaussian processes.
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