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Probability functional of a vector non-Gaussian Markov process and its communication application

✍ Scribed by V. Lyandres; S. Primak

Publisher: Elsevier Science
Year: 2000
Tongue: English
Weight: 111 KB
Volume: 337
Category: Article
ISSN: 0016-0032
DOI: 10.1016/s0016-0032(00)00042-9

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✦ Synopsis

A vector process with an arbitrary probability density function is presented as the solution of a system of nonlinear stochastic di!erential equations. Such a generative approach provides an opportunity to describe the process explicitly with the help of its probability functional without having to solve the corresponding vector Fokker}Planck equation. Direct synthesis of an optimal signals' detection algorithm for communication channels with additive non-Gaussian correlated interference as an example of the probability functional application is considered.

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