Telecommunications and Radio Engineering

ISSN for PRINT: 0040-2508

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2002, Volume58

Issue 3&4

162 pages

Issue price - $394.00

V. M. Bezruk
Kharkov National University of Radio Engineering and Electronics, 14, Lenin Ave, Kharkov, 61166, Ukraine

Some practical features of methods of recognition of random signals based on signal description by an autoregression model are considered. The algorithms presented in the article are characterized by smaller computing temporal cost as compared with the Bayessian classifier that is practically unrealizable at the considerable dimension of the initial description and at the finite volume of the learning samples of signals. A comparative analysis of signal recognition quality is made for various recognition algorithms by a statistical simulation method.

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