Abstract
Approaches to the electrochemical noise (EN) analysis are generally based on the assumption of its stationarity. In spite of usability of such methodology, occurrences of non-stationary signals are rather frequent in the practice. The methods of overcoming this drawback are presented in the paper. Applications of short-time Fourier transformation are discussed. It utilizes the concept of time-localized analyzing functions generated by appropriately chosen sliding time-domain window. Such technique, applied in discrete time measurement regime yields time-dependent frequency EN decomposition. Additionally, the authors introduce the concept of time dependent spectral noise response and spectral noise resistance.
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