Abstract:
A spark discharge during the pre-breakdown stage is a source of powerful microwave pulses. The Morlet wavelet transform was used to localize high-amplitude bursts in time and frequency. Exponential approximation was used to quantitatively describe the signal dynamics, allowing us to determine key parameters: the initial amplitude $\alpha$ and the decay rate $\beta$. Based on experimental data processing, two groups of bursts with different decay patterns were identified. A statistical analysis revealed a divergence between the coefficient distributions and the normal law, confirming the stochastic nature of the processes. The results of this study contribute to a deeper understanding of the mechanisms of microwave radiation generation in electric discharge systems.
Keywords:wavelet analysis, radio emission, atmospheric spark discharge, streamer.
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