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Proceedings Paper

N-wavelet coding for pattern classification
Author(s): Sonlinh Phuvan
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Paper Abstract

A novel method, N-Wavelet Coding, for pattern detection and classification based on wavelet transform and coding theory is introduced in this paper. Using this detection and classification technique it is possible to reduce false alarm rate while maintaining a constant probability of detection and noise level. A set of periodic continuous waveforms comprising six classes spanning a cross correlation coefficient between 0.68 to 0.99 is used to evaluate the N- Wavelet Coding technique. It is found that by increasing the length N of the N-Wavelet Coding it is possible to decrease the false alarm rate while maintaining a constant probability of detection.

Paper Details

Date Published: 27 August 1993
PDF: 30 pages
Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); doi: 10.1117/12.150977
Show Author Affiliations
Sonlinh Phuvan, Naval Surface Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 1961:
Visual Information Processing II
Friedrich O. Huck; Richard D. Juday, Editor(s)

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