Application of integral transforms in algorithms for detecting signals against a background of noise under priori uncertainty using the mellin's transforms

Application of integral transforms in algorithms for detecting signals against a background of noise under priori uncertainty using the mellin's transforms

For the modern theory of detecting signals on background noise, the main task is to reduce the degree of freedom of threshold values of decision rules to unknown 'interfering' signal and noise parameters. A particularly difficult task is the creation of new methods for the effective detect...

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Autors principals:	Ermakov, A. S., Ермаков, А. С.
Format:	Статья
Idioma:	English
Publicat:	Institute of Electrical and Electronics Engineers Inc. 2021
Matèries:	A priori uncertainty Detecting signals Fourier transforms Harmonic signals Mellin integral transforms Phase-shift keying signals TEMPEST Correlation detectors
Accés en línia:	https://dspace.ncfu.ru/handle/20.500.12258/14716
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