A Segmentation Technique for Waveform Classification

Authors:
Theodosios Pavlidis;Geng Seng Fang
Affiliations:
Department of Electrical Engineering, Princeton University, Princeton, N. J. 08540.;Department of Electrical Engineering, Princeton University, Princeton, N. J./ Computer Science Corporation, Falls Church, Va.
Venue:
IEEE Transactions on Computers
Year:
1972

Citing 2
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Abstract

This note describes the determination of waveform segments which contain the information necessary for classification. The method is successful in discriminating between the vibration record of internal combustion engines before and after repair.