Abstract

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

© 1994 Optical Society of America

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