Classification Of Bandlimited Data Using Level Crossings

Jaleh Komaili; P. V. Sankar; D. Fleming; L. A. Ferrari

doi:10.1117/12.940287

10 September 1987 Classification Of Bandlimited Data Using Level Crossings

Jaleh Komaili, P. V. Sankar, D. Fleming, L. A. Ferrari

Proceedings Volume 0768, Pattern Recognition and Acoustical Imaging; (1987) https://doi.org/10.1117/12.940287
Event: International Symposium on Pattern Recognition and Acoustical Imaging, 1987, Newport Beach, CA, United States

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.

Citation Download Citation

Jaleh Komaili, P. V. Sankar, D. Fleming, and L. A. Ferrari "Classification Of Bandlimited Data Using Level Crossings", Proc. SPIE 0768, Pattern Recognition and Acoustical Imaging, (10 September 1987); https://doi.org/10.1117/12.940287

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