27 August 1993 N-wavelet coding for pattern classification
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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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sonlinh Phuvan, Sonlinh Phuvan, } "N-wavelet coding for pattern classification", Proc. SPIE 1961, Visual Information Processing II, (27 August 1993); doi: 10.1117/12.150977; https://doi.org/10.1117/12.150977


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