Wavelet-based model matching for FM denoising

Anthony Teolis; Richard Scheper

doi:10.1117/12.458754

8 March 2002 Wavelet-based model matching for FM denoising

Anthony Teolis, Richard Scheper

Proceedings Volume 4738, Wavelet and Independent Component Analysis Applications IX; (2002) https://doi.org/10.1117/12.458754
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

A it transform--model based approach for suppressing noise in frequency modulated (FM) signals is presented. This approach is based on a model of the expected output of a wavelet filter bank in response to a noise-free FM signal. Resolving the discrepancy between filter bank output in response to a noisy FM signal and the expected output given by the model provides the mechanism for noise suppression. Specifically, a stationary phase approximation to the Morlet wavelet transform is used to form the model. The approach is shown to perform favorably on a numerical example when compared to both simple lowpass filtering (linear) and wavelet thresholding (non-linear) denoising techniques.

Citation Download Citation

Anthony Teolis and Richard Scheper "Wavelet-based model matching for FM denoising", Proc. SPIE 4738, Wavelet and Independent Component Analysis Applications IX, (8 March 2002); https://doi.org/10.1117/12.458754

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