Title of article :
Nonlinear signal classification using geometric statistical features in state space
Author/Authors :
S.، Yang, نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2004
Pages :
-77
From page :
78
To page :
0
Abstract :
A new methodology in the framework of high-dimensional shape analysis in state space is proposed for nonlinear signal classification. The zero-crossing rate on a Poincare surface of a section is used as a feature. Experiments regarding oceanic signal classification show that the proposed methodology can provide some information not contained in spectra.
Keywords :
Hydrograph
Journal title :
IEE Electronics Letters
Serial Year :
2004
Journal title :
IEE Electronics Letters
Record number :
107460
Link To Document :
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