Pseudo-stochastic signal characterization in wavelet-domain

International Scientific Seminars on "Fundamental and Applied Problems of Photonics and Condensed Matter Physics"

Zaytsev, Kirill I.^1 ; Zhirnov, Andrei A.^1 ; Alekhnovich, Valentin I.^1 ; Yurchenko, Stanislav O.^1

Bauman Moscow State Technical University, 2nd Baumanskaya str. 5, Moscow

105005, Russia^1

关键词: Continuous Wavelet Transform;    Granulometries;    Power densities;    Sand fraction;    Statistical characteristics;    Statistical parameters;    Stochastic signals;    Wavelet domain;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/584/1/012021/pdf
DOI  :  10.1088/1742-6596/584/1/012021

来源: IOP

【 摘 要 】

In this paper we present the method for fast and accurate characterization of pseudo-stochastic signals, which contain a large number of similar but randomly-located fragments. This method allows estimating the statistical characteristics of pseudo-stochastic signal, and it is based on digital signal processing in wavelet-domain. Continuous wavelet transform and the criterion for wavelet scale power density are utilized. We are experimentally implementing this method for the purpose of sand granulometry, and we are estimating the statistical parameters of test sand fractions.