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DE-Noising the CN Tower Lightning Current Derivative Signal Using Short Term Fourier Transform-Based Spectral Subtraction

Author Affiliations
Shahjalal University of Science and Technology, Toronto Metropolitan University
Year2004
Citations3

Abstract

The CN Tower is a transmission tower and it is not unexpected that recorded lightning current signals be corrupted by noise. The existence of noise may affect the calculation of current waveform parameters (current peak, 10-90% risetime to current peak, maximum steepness, and pulse width at half value of current peak). To determine accurate statistics of current waveform parameters, the interfering noise must be removed. In this paper, a Short Term Fourier Transform (STFT)-based Spectral Subtraction method is developed to denoise the lightning current derivative signal measured at the CN Tower. In order to evaluate the proposed de-noising method, a simulated current derivative waveform is used after being artificially distorted by a noise signal measured at the CN Tower in…
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