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Proceedings Paper

Integrated neural network: time frequency method for detection and classification
Author(s): Donald B. Malkoff; Erich J. Smythe
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Paper Abstract

We present a neural network algorithm for the detection and classification of transients in noise. The algorithm is a feed-forward three layered network capable of training and testing in a single pass. It benefits from the use of a time-frequency representation that conveys temporal information about the signal. 1.

Paper Details

Date Published: 1 September 1990
PDF: 10 pages
Proc. SPIE 1297, Hybrid Image and Signal Processing II, (1 September 1990); doi: 10.1117/12.21327
Show Author Affiliations
Donald B. Malkoff, General Electric Aerospace (United States)
Erich J. Smythe, General Electric Aerospace (United States)

Published in SPIE Proceedings Vol. 1297:
Hybrid Image and Signal Processing II
David P. Casasent; Andrew G. Tescher, Editor(s)

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