[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.6109/jkiice.2012.16.9.1870

Classification of Underwater Transient Signals Using Gaussian Mixture Model

Oh, Sang-Hwan ((주)유라코퍼레이션)
Bae, Keun-Sung (경북대학교)

Publication Information

Journal of the Korea Institute of Information and Communication Engineering / v.16, no.9, 2012 , pp. 1870-1877 More about this Journal

Abstract

Transient signals generally have short duration and variable length with time-varying and non-stationary characteristics. Thus frame-based pattern matching method is useful for classification of transient signals. In this paper, we propose a new method for classification of underwater transient signals using a Gaussian mixture model(GMM). We carried out classification experiments for various underwater transient signals depending upon the types of noise, signal-to-noise ratio, and number of mixtures in the GMM. Experimental results have verified that the proposed method works quite well for classification of underwater transient signals.

Keywords

MFCC; GMM; Transient signal classification;

Citations & Related Records

Times Cited By KSCI : 1 (Citation Analysis)

Reference
Cited By KSCI

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KSCI

Classification of Underwater Transient Signals Using Gaussian Mixture Model 정규혼합모델을 이용한 수중 천이신호 식별

Classification of Underwater Transient Signals Using Gaussian Mixture Model