Publicou 12 edições por ano
ISSN Imprimir: 0040-2508
ISSN On-line: 1943-6009
Indexed in
Recognition Methods Based on Autoregression Model of Signals
RESUMO
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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Bezruk Valeriy, Fedorov Alexey, Recognition of statistically defined signals along with unknown signals, International Symposium on Signals, Circuits and Systems ISSCS2013, 2013. Crossref