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Proceedings Paper

Classification Of Bandlimited Data Using Level Crossings
Author(s): Jaleh Komaili; P. V. Sankar; D. Fleming; L. A. Ferrari
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Paper Abstract

In this paper we describe techniques for classifying a bandlimited signal based on properties computed from the signal's level crossings. We show that a Gaussian random process with a Gaussian shaped spectrum can be completely characterized using level crossings. For a non-Gaussian process we first construct a Markov model for the hard limited signal. We then show how this leads to the design of an efficient and useful classifier. The technique was applied to in vivo ultrasound liver data.

Paper Details

Date Published: 10 September 1987
PDF: 3 pages
Proc. SPIE 0768, Pattern Recognition and Acoustical Imaging, (10 September 1987); doi: 10.1117/12.940287
Show Author Affiliations
Jaleh Komaili, University of California (United States)
P. V. Sankar, University of California (United States)
D. Fleming, University of California (United States)
L. A. Ferrari, University of California (United States)

Published in SPIE Proceedings Vol. 0768:
Pattern Recognition and Acoustical Imaging
Leonard A. Ferrari, Editor(s)

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