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http://dx.doi.org/10.7840/kics.2014.39B.8.538

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

Lim, Jun-Seok (Sejong University Department of Electronic Engineering)
Hong, Woo-Young (Sejong University Department of Defense System Engineering)
Pyeon, Yong-Guk (Gangwon Provincial University Department of Information and Communication)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.39B, no.8, 2014 , pp. 538-543 More about this Journal
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.
Keywords
Sonar Signal Processing; DEMON; Filter Bank;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
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