Title :
A modified domain deformation theory on 1-D signal classification
Author :
Kim, Sung-Soo ; Kasparis, Takis
Author_Institution :
Dept. of Electr. & Comput. Eng., Central Florida Univ., Orlando, FL, USA
fDate :
5/1/1998 12:00:00 AM
Abstract :
The classification of one-dimensional (1-D) signals is accomplished using domain deformation theory. We use a metric defined on a domain deformation for measuring the distance between signals. By introducing a newly defined metric space, the assumption that domain deformation is applicable only to continuous signals is removed such that any kind of integrable signal can be classified. This method also has an advantage over the L/sup 2/ metric, because the similarity of one-dimensional signals can be better measured for the purpose of classification.
Keywords :
distance measurement; integration; mathematical operators; pattern classification; signal processing; 1D signal classification; L/sup 2/ metric; continuous signals; integrable signal; linear operator; metric space; modified domain deformation theory; one-dimensional signals; signals distance measurement; similarity measurement; Constraint theory; Equations; Length measurement; Pattern classification; Pulse generation; Signal generators; Signal mapping; Signal resolution;
Journal_Title :
Signal Processing Letters, IEEE