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. !7
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