Hidden Period Estimation in the Broad Band Propeller Noise Using Auto-Correlation and Filter-Bank Structure 


Vol. 39,  No. 8, pp. 538-543, Aug.  2014


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  Abstract

Narrow band signal estimation and broad band signal estimation can be used to detect the ship-radiated noise. The broad band signal estimation method to detect the ship-radiated noise is called DEMON (Detection of Envelop Modulation On Noise). This paper proposes a new DEMON algorithm using filter bank and autocorrelation. We show the proposed algorithm estimates the hidden period in the wide band signal better than the conventional DEMON algorithm and the recently proposed filter-bank based DEMON algorithm.

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  Cite this article

[IEEE Style]

J. Lim, W. Hong, Y. Pyeon, "Hidden Period Estimation in the Broad Band Propeller Noise Using Auto-Correlation and Filter-Bank Structure," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 8, pp. 538-543, 2014. DOI: .

[ACM Style]

Jun-Seok Lim, Woo-Young Hong, and Yong-Guk Pyeon. 2014. Hidden Period Estimation in the Broad Band Propeller Noise Using Auto-Correlation and Filter-Bank Structure. The Journal of Korean Institute of Communications and Information Sciences, 39, 8, (2014), 538-543. DOI: .

[KICS Style]

Jun-Seok Lim, Woo-Young Hong, Yong-Guk Pyeon, "Hidden Period Estimation in the Broad Band Propeller Noise Using Auto-Correlation and Filter-Bank Structure," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 8, pp. 538-543, 8. 2014.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880