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Proceedings Paper

Wavelet detection of singularities in the presence of fractal noise
Author(s): Steven E. Noel; Yogesh J. Gohel; Harold H. Szu
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Paper Abstract

Here we detect singularities with generalized quadrature processing using the recently developed Hermitian Hat wavelet. Our intended application is radar target detection for the optimal fuzzing of ship self-defense munitions. We first develop a wavelet-based fractal noise model to represent sea clutter. We then investigate wavelet shrinkage as a way to reduce and smooth the noise before attempting wavelet detection. Finally, we use the complex phase of the Hermitian Hat wavelet to detect a simulated target singularity in the presence of our fractal noise.

Paper Details

Date Published: 3 April 1997
PDF: 10 pages
Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); doi: 10.1117/12.271770
Show Author Affiliations
Steven E. Noel, Naval Surface Warfare Ctr. (United States)
Yogesh J. Gohel, Naval Surface Warfare Ctr. (United States)
Harold H. Szu, Naval Surface Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 3078:
Wavelet Applications IV
Harold H. Szu, Editor(s)

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