Integrated neural network: time frequency method for detection and classification

Donald B. Malkoff; Erich J. Smythe

doi:10.1117/12.21327

1 September 1990 Integrated neural network: time frequency method for detection and classification

Donald B. Malkoff, Erich J. Smythe

Proceedings Volume 1297, Hybrid Image and Signal Processing II; (1990) https://doi.org/10.1117/12.21327
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

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.

Citation Download Citation

Donald B. Malkoff and Erich J. Smythe "Integrated neural network: time frequency method for detection and classification", Proc. SPIE 1297, Hybrid Image and Signal Processing II, (1 September 1990); https://doi.org/10.1117/12.21327

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