Online detection of pulse sequence in random noise using a wavelet

Two types of wavelet-based algorithms are proposed for an online detection of a train of unknown pulse signals corrupted by random noise. The mechanism of detecting singularities hidden in the noisy observation data is analyzed, and the performance of the proposed signal detectors is evaluated. Simu...

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Veröffentlicht in:	IEEE transactions on signal processing 1999-09, Vol.47 (9), p.2526-2531
Hauptverfasser:	Ohsumi, A., Ijima, H., Kuroishi, T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Computer simulation Detection, estimation, filtering, equalization, prediction Detectors Differential equations Exact sciences and technology Gaussian noise Information, signal and communications theory On-line systems Online Performance analysis Random noise Signal analysis Signal and communications theory Signal detection Signal detectors Signal processing algorithms Signal, noise Singularities Space vector pulse width modulation Stochastic resonance Telecommunications and information theory Trains Wavelet analysis
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Beschreibung
Zusammenfassung:	Two types of wavelet-based algorithms are proposed for an online detection of a train of unknown pulse signals corrupted by random noise. The mechanism of detecting singularities hidden in the noisy observation data is analyzed, and the performance of the proposed signal detectors is evaluated. Simulation studies are provided to confirm the effectiveness of the algorithms.
ISSN:	1053-587X 1941-0476
DOI:	10.1109/78.782195