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...

Cijeli opis

Spremljeno u:

Bibliografski detalji
Glavni autori:	Ermakov, A. S., Ермаков, А. С.
Format:	Статья
Jezik:	English
Izdano:	Institute of Electrical and Electronics Engineers Inc. 2021
Teme:	A priori uncertainty Detecting signals Fourier transforms Harmonic signals Mellin integral transforms Phase-shift keying signals TEMPEST Correlation detectors
Online pristup:	https://dspace.ncfu.ru/handle/20.500.12258/14716
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

id	ir-20.500.12258-14716
record_format	dspace
spelling	ir-20.500.12258-147162021-01-18T13:58:53Z Application of integral transforms in algorithms for detecting signals against a background of noise under priori uncertainty using the mellin's transforms Ermakov, A. S. Ермаков, А. С. A priori uncertainty Detecting signals Fourier transforms Harmonic signals Mellin integral transforms Phase-shift keying signals TEMPEST Correlation detectors 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 detection of signals from background noise with an unknown correlation function under conditions of a priori uncertainty. The task of overcoming a priori uncertainty regarding the parameters of signals and noise is a classic problem that was once dealt with using Fourier transforms. But the emergence in recent years of complex signals has led to the need to create new methods for detecting signals against a background noise 2021-01-18T13:57:45Z 2021-01-18T13:57:45Z 2020 Статья Makarov, A.M., Ermakov, A.S., Postovalov, S.S. Application of integral transforms in algorithms for detecting signals against a background of noise under priori uncertainty using the mellin's transforms // 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020. - 2020. - Номер статьи 9271377 http://hdl.handle.net/20.500.12258/14716 en 2020 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2020 application/pdf Institute of Electrical and Electronics Engineers Inc.
institution	СКФУ
collection	Репозиторий
language	English
topic	A priori uncertainty Detecting signals Fourier transforms Harmonic signals Mellin integral transforms Phase-shift keying signals TEMPEST Correlation detectors
spellingShingle	A priori uncertainty Detecting signals Fourier transforms Harmonic signals Mellin integral transforms Phase-shift keying signals TEMPEST Correlation detectors Ermakov, A. S. Ермаков, А. С. Application of integral transforms in algorithms for detecting signals against a background of noise under priori uncertainty using the mellin's transforms
description	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 detection of signals from background noise with an unknown correlation function under conditions of a priori uncertainty. The task of overcoming a priori uncertainty regarding the parameters of signals and noise is a classic problem that was once dealt with using Fourier transforms. But the emergence in recent years of complex signals has led to the need to create new methods for detecting signals against a background noise
format	Статья
author	Ermakov, A. S. Ермаков, А. С.
author_facet	Ermakov, A. S. Ермаков, А. С.
author_sort	Ermakov, A. S.
title	Application of integral transforms in algorithms for detecting signals against a background of noise under priori uncertainty using the mellin's transforms
title_short	Application of integral transforms in algorithms for detecting signals against a background of noise under priori uncertainty using the mellin's transforms
title_full	Application of integral transforms in algorithms for detecting signals against a background of noise under priori uncertainty using the mellin's transforms
title_fullStr	Application of integral transforms in algorithms for detecting signals against a background of noise under priori uncertainty using the mellin's transforms
title_full_unstemmed	Application of integral transforms in algorithms for detecting signals against a background of noise under priori uncertainty using the mellin's transforms
title_sort	application of integral transforms in algorithms for detecting signals against a background of noise under priori uncertainty using the mellin's transforms
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2021
url	https://dspace.ncfu.ru/handle/20.500.12258/14716
work_keys_str_mv	AT ermakovas applicationofintegraltransformsinalgorithmsfordetectingsignalsagainstabackgroundofnoiseunderprioriuncertaintyusingthemellinstransforms AT ermakovas applicationofintegraltransformsinalgorithmsfordetectingsignalsagainstabackgroundofnoiseunderprioriuncertaintyusingthemellinstransforms
_version_	1760599469701726208

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

Similar Items