Classification Of Bandlimited Data Using Level Crossings
Jaleh Komaili, P.V. Sankar, D. Fleming, L. A. Ferrari · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1987
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.