Perceptual feature identification for active sonar echoes

OCEANS 2006

Volumn , Issue , 2006, Pages

  Philips, Scott ^a   Pitton, James ^b   Atlas, Les ^a  

^a University of Washington   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DESIGN AND ANALYSIS; FEATURE IDENTIFICATION; PERCEPTUAL SIMILARITY; SIGNAL CLASSIFICATION;

SONAR; UNDERWATER ACOUSTICS;

EXPERIMENTS;

EID: 50949102209     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/OCEANS.2006.306787     Document Type: Conference Paper

References (12)

1. J. Pitton, J. Balks, S. Philips, L. Atlas, D. Brock, M. Miller, and B. McClimens, "Aural classification of impulsive-source active sonar echoes," Journal of the Acoustical Society of America, vol. 119, p3394, 2006.
2. M. L. Davidson, Multidimensional Scaling. Krieger, 1992.
3. F. W. Young, C. H. Null, W. Sarle, and D. L. Hoffman, Proximity and preference: Problems in multi-dimensional analysis of large data sets. Minneapolis, MN: University of Minnesota Press., 1981, ch. Interactively ordering the similarities among a large set of stimuli.
4. J. M. Grey, "Multidimensional perceptual scaling of musical timbres," Journal of the Acoustical Society of America, vol. 61, 1977.
5. _, "Perceptual effects of spectral modifications on musical timbres," Journal of the Acoustical Society of America, vol. 63, 1978.
6. P. Iverson and C. L. Krumhansl, "Isolating the dynamic attributes of musical timbre," Journal of the Acoustical Society of America, vol. 94, 1993.
7. S. McAdams, "Perspectives on the contribution of timbre to musical structure," Computer Music Journal, vol. 23, 1999.
8. S. Tucker and G. J. Brown, "Classification of transient sonar sounds using perceptually motivated features," IEEE Journal of Oceanic Engineering, vol. 30, pp. 588-600, 2005.
9. V. Young, "Application of musical timbre discrimination features to active sonar classification," Master's thesis, Dalhousie University, Halifax, NS, 2005.
10. M. Slaney, "An Efficient Implementation of the Patterson-Holdsworth Auditory Filter Bank," Apple Computer, Inc., Technical Report 35, 1993.
11. B. Scholkopf, A. Smola, and K.-R. Muller, "Nonlinerar component analysis as a kernel eigenvalue problem," Neural Computation, vol. 10, pp. 1299-1319, 1998.
12. V. Vapnik, The Nature of Statistical Learning Theory. New York:Springer-Verlag, 1995.