Wavelet detection of singularities in the presence of fractal noise

Steven E. Noel; Yogesh J. Gohel; Harold H. Szu

doi:10.1117/12.271770

3 April 1997 Wavelet detection of singularities in the presence of fractal noise

Steven E. Noel, Yogesh J. Gohel, Harold H. Szu

Proceedings Volume 3078, Wavelet Applications IV; (1997) https://doi.org/10.1117/12.271770
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Steven E. Noel, Yogesh J. Gohel, and Harold H. Szu "Wavelet detection of singularities in the presence of fractal noise", Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); https://doi.org/10.1117/12.271770

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