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Artificial-intelligence-driven segmentation and analysis of microbial cells. [PDF]

J Biomed Opt
Zhang S, Coffin C, Rogers KL, Royer CA, Wang G.   +4 more
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White Noise Analysis for Lévy Processes.

, 2002
Di Nunno, Giulia, Proske, Frank, Øksendal, Bernt   +2 more
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White Noise Approach to Quantum Stochastic Integrals(White Noise Analysis and Quantum Probability)

White Noise Approach to Quantum Stochastic Integrals(White Noise Analysis and Quantum Probability)
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Laplace Operators Associated with Hida Derivative in White Noise Analysis(White Noise Analysis and Quantum Probability)

Laplace Operators Associated with Hida Derivative in White Noise Analysis(White Noise Analysis and Quantum Probability)
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White-noise analysis in visual neuroscience

Visual Neuroscience, 1988
AbstractIn 1827, plant biologist Robert Brown discovered what is known as Brownian motion, a class of chaos. Formal derivative of Brownian motion is Gaussian white-noise. In 1938, Norbert Wiener proposed to use the Gaussian white-noise as an input probe to identify a system by a series of orthogonal functionals known as the Wiener G-functionals.White ...
H M, Sakai, K, Naka, M J, Korenberg
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COMPLEX WHITE NOISE ANALYSIS

Infinite Dimensional Analysis, Quantum Probability and Related Topics, 2001
This paper describes a new space, [Formula: see text], of complex Wiener distributions for the analysis of multi-parameter generalized stochastic processes [Formula: see text]. For a certain class of functions [Formula: see text] and complex Wiener integrals Φ1, …, Φm, F(Φ1, …, Φm) is defined as an element of [Formula: see text] and its Fock space ...
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