Real world analysis of electromagnetic pulses using adaptive wavelet transforms

Nancy A. Breaux; Harold H. Szu

doi:10.1117/12.381689

5 April 2000 Real world analysis of electromagnetic pulses using adaptive wavelet transforms

Nancy A. Breaux, Harold H. Szu

Proceedings Volume 4056, Wavelet Applications VII; (2000) https://doi.org/10.1117/12.381689
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

The Fourier transform (FT) is often used to analyze transient and non-stationary signals even when such signals are not periodic in nature. We demonstrate how an adaptive wavelet transform (WT) can bring out signal details that the traditional FT cannot, as first shown by Szu et al. In 1992. The magnitude plot of the complex Morlet wavelet shows the evolution of the signal's energy in both time and frequency, while the phase plot pinpoints signal discontinuities at various scales. This information can be used to build a compact model and approximate representation of signals characterized by pulses. We are able to infer the physics of devices that generate EM pulses.

Citation Download Citation

Nancy A. Breaux and Harold H. Szu "Real world analysis of electromagnetic pulses using adaptive wavelet transforms", Proc. SPIE 4056, Wavelet Applications VII, (5 April 2000); https://doi.org/10.1117/12.381689

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