N-wavelet coding for pattern classification

Sonlinh Phuvan

doi:10.1117/12.150977

27 August 1993 N-wavelet coding for pattern classification

Sonlinh Phuvan

Proceedings Volume 1961, Visual Information Processing II; (1993) https://doi.org/10.1117/12.150977
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

Sonlinh Phuvan "N-wavelet coding for pattern classification", Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); https://doi.org/10.1117/12.150977

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