Paper
3 April 1997 Wavelet detection of singularities in the presence of fractal noise
Steven E. Noel, Yogesh J. Gohel, Harold H. Szu
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Wavelets

Fractal analysis

Signal detection

Interference (communication)

Radar

Discrete wavelet transforms

Target detection

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