Publication detail

Recognition of non-Gaussian signals against a background of noise using higher order statistics

Authors: Kudriavtseva Nataliia | Tykhonov Vyacheslav | Netrebenko Konstantin

Year: 2014

Type of publication: článek ve sborníku

Name of source: 56th International Symposium ELMAR-2014

Publisher name: IEEE (Institute of Electrical and Electronics Engineers)

Place: Los Alamitos

Page from-to: p

Titles:

Language	Name	Abstract	Keywords
cze	Rozpoznání ne-Gaussovského signálu proti pozadí šumu použitím statistik vyššího řádu	The aim of the paper is to study the possibility of advancing noised non-Gaussian processes recognition using the features based on higher-order statistics. Several new recognition features based on the higher-order statistics, the basis of advancing recognition results in the presence of noise, decision rules and recognition system frameworks we proposed in the paper. The efficiency test of the proposed method is performed by statistical modeling. We proposed features of recognition based on the third-order statistics.	Autoregressivní model; Statistika vyššího řádu; Hustota výkonového spektra
eng	Recognition of non-Gaussian signals against a background of noise using higher order statistics	The aim of the paper is to study the possibility of advancing noised non-Gaussian processes recognition using the features based on higher-order statistics. Several new recognition features based on the higher-order statistics, the basis of advancing recognition results in the presence of noise, decision rules and recognition system frameworks we proposed in the paper. The efficiency test of the proposed method is performed by statistical modeling. We proposed features of recognition based on the third-order statistics.	Autoregressive models; Higher order statistics; Power spectrum density

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