Classification of Underwater Transient Signals Using MFCC Feature Vector 


Vol. 32,  No. 8, pp. 675-680, Aug.  2007


PDF
  Abstract

This paper presents a new method for classification of underwater transient signals, which employs frame-based decision with Mel Frequency Cepstral Coefficients (MFCC). The MFCC feature vector is extracted frame-by-frame basis for an input signal that is detected as a transient signal, and Euclidean distances are calculated between this and all MFCC feature vectors in the reference database. Then each frame of the detected input signal is mapped to the class having minimum Euclidean distance in the reference database. Finally the input signal is classified as the class that has maximum mapping rate in the reference database. Experimental results demonstrate that the proposed method is very promising for classification of underwater transient signals.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

T. Lim, K. Bae, C. Hwang, H. Lee, "Classification of Underwater Transient Signals Using MFCC Feature Vector," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 8, pp. 675-680, 2007. DOI: .

[ACM Style]

Tae-Gyun Lim, Keun-Sung Bae, Chan-Sik Hwang, and Hyeong-Uk Lee. 2007. Classification of Underwater Transient Signals Using MFCC Feature Vector. The Journal of Korean Institute of Communications and Information Sciences, 32, 8, (2007), 675-680. DOI: .

[KICS Style]

Tae-Gyun Lim, Keun-Sung Bae, Chan-Sik Hwang, Hyeong-Uk Lee, "Classification of Underwater Transient Signals Using MFCC Feature Vector," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 8, pp. 675-680, 8. 2007.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880