DocumentCode
974177
Title
High-dimensional shape analysis in state space: methodology for oceanic signal classification
Author
Yang, S.
Author_Institution
Dept. of Comput. Sci. & Eng., Fudan Univ., Shanghai, China
Volume
40
Issue
8
fYear
2004
fDate
4/15/2004 12:00:00 AM
Firstpage
513
Lastpage
514
Abstract
High-dimensional shape analysis in state space is proposed as a new methodology for oceanic signal classification. High-dimensional moment invariant and principal component analysis are employed as two features in this framework. Experimental results show that the proposed scheme can provide some information not contained in traditional features.
Keywords
acoustic signal processing; geophysical signal processing; oceanography; principal component analysis; signal classification; signal reconstruction; acoustic signal processing; geophysical signal processing; high dimensional moment invariant analysis; high dimensional shape analysis; oceanic signal classification; principal component analysis; signal classification; signal reconstruction;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20040339
Filename
1293654
Link To Document