Meixner Wavelet Transform: A Tool for Studying Stationary Discrete-Time Stochastic Processes

I. B. Grafova, B. M. Grafov

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

A general approach to analyzing discrete stochastic processes in the context of spectral analysis in the Laplace domain is considered. It is shown that a multichannel algorithm, which may be used for determining a discrete Laplace transform of the correlation function corresponding to a stationary discrete-time stochastic process, may be designed on the basis of Meixner wavelets.

Original languageEnglish (US)
Pages (from-to)130-133
Number of pages4
JournalRussian Journal of Electrochemistry
Volume39
Issue number2
DOIs
StatePublished - Feb 2003
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Electrochemistry

Fingerprint Dive into the research topics of 'Meixner Wavelet Transform: A Tool for Studying Stationary Discrete-Time Stochastic Processes'. Together they form a unique fingerprint.

Cite this