A modified domain deformation theory on 1-D signal classification

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 c...

Full description

Saved in:
Bibliographic Details
Published in:IEEE signal processing letters 1998-05, Vol.5 (5), p.118-120
Main Authors: Sung-Soo Kim, Kasparis, T.
Format: Article
Language:English
Subjects:
Constraint theory
Equations
Length measurement
Pattern classification
Pulse generation
Signal generators
Signal mapping
Signal resolution
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1070-9908
1558-2361
DOI:10.1109/97.668949