Discrete Laplace transformation as a wavelet tool to analyse the electrochemical random time series

In this paper we study the use of discrete Laplace transformation for the analysis of the electrochemical random time series. It is shown that for any stationary discrete time random electrochemical process there is a direct estimator for power spectral density in the Laplace domain. It is of importance that this estimator can be used to analyse random time series of any nature (not only electrochemical).