Numerical simulation of hydroacoustic noise signals detecting by a two stages wavelet transform / A. A. Khamukhin, R. I. Perminov, T. A. Yagunov

Основной Автор-лицо: Khamukhin, A. A., specialist in the field of Informatics and computer engineering, Associate Professor of Tomsk Polytechnic University, candidate of technical sciences, 1954-, Aleksandr AnatolievichАльтернативный автор-лицо: Perminov, R. I.;Yagunov, T. A.Коллективный автор (вторичный): Национальный исследовательский Томский политехнический университет (ТПУ), Институт кибернетики (ИК), Кафедра информатики и проектирования систем (ИПС)Язык: английский.Резюме или реферат: Detecting of vessels and submarines through their noise analysis should be performed quickly and around the clock. A numerical model for detecting narrowband hydroacoustic signals based on the two stages continuous wavelet transform (CWT) is presented. The first stage of the wavelet transformation can be performed at port before. On the ship board only the second stage of the wavelet transform must be performed. This reduces the computation time and speeds up the detection of enemy ships. Reducing hardware costs for making this apparatus for detecting narrow-band hydroacoustic noise signals based on the two stages CWT are shown..Примечания о наличии в документе библиографии/указателя: [References: 9 tit.].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | wavelet | detecting | continuous wavelet transform | ydroacoustic noise signals | negative SNR | численное моделирование | гидроакустика | сигналы | шумы | вейвлет-преобразования Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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[References: 9 tit.]

Detecting of vessels and submarines through their noise analysis should be performed quickly and around the clock. A numerical model for detecting narrowband hydroacoustic signals based on the two stages continuous wavelet transform (CWT) is presented. The first stage of the wavelet transformation can be performed at port before. On the ship board only the second stage of the wavelet transform must be performed. This reduces the computation time and speeds up the detection of enemy ships. Reducing hardware costs for making this apparatus for detecting narrow-band hydroacoustic noise signals based on the two stages CWT are shown.

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