Decrease Latency of Power Spectrum Peaks for Narrowband Acoustic Signal Detection in Real Time / A. A. Khamukhin, V. V. Sidorov

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: Sidorov, V. V., VladislavКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет (ТПУ), Институт кибернетики (ИК), Кафедра информатики и проектирования систем (ИПС)Язык: английский.Резюме или реферат: We propose partial computation of Continuous Wavelet Transform (CWT) and Power Spectrum (PS) in acoustic signal detection for decrease latency caused by the repeated calculations of CWT and PS. This allows detecting growing PS peaks earlier than the full CWT and PS calculating cycle is done that important for the real time systems. Numerical simulation of the test narrowband signal detection within broadband noise with negative value of signal-to-noise ratio (-12 dB) is shown. Test signals were detected approximately from 0.25 to 0.75 second instead of one second in the original method. The offered algorithm may be used for other similar applications concerning CWT and PS computation..Примечания о наличии в документе библиографии/указателя: [References: 10 tit.].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | узкополосные сигналы | обнаружение сигналов | вейвлеты | спектры мощности | моделирование Ресурсы он-лайн:Щелкните здесь для доступа в онлайн
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[References: 10 tit.]

We propose partial computation of Continuous Wavelet Transform (CWT) and Power Spectrum (PS) in acoustic signal detection for decrease latency caused by the repeated calculations of CWT and PS. This allows detecting growing PS peaks earlier than the full CWT and PS calculating cycle is done that important for the real time systems. Numerical simulation of the test narrowband signal detection within broadband noise with negative value of signal-to-noise ratio (-12 dB) is shown. Test signals were detected approximately from 0.25 to 0.75 second instead of one second in the original method. The offered algorithm may be used for other similar applications concerning CWT and PS computation.

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