Publication:
Spectral Analysis of Random Processes

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dc.contributor.authorCatak, Muammer
dc.contributor.authorAllahviranloo, Tofigh A.
dc.contributor.authorPedrycz, Witold
dc.contributor.institutionCatak, Muammer, Department of Electrical Engineering, American University of the Middle East, Al Ahmadi, Kuwait
dc.contributor.institutionAllahviranloo, Tofigh A., Department of Applied Mathematics, Bahçeşehir Üniversitesi, Istanbul, Turkey
dc.contributor.institutionPedrycz, Witold, University of Alberta, Edmonton, Canada
dc.date.accessioned2025-10-05T15:26:18Z
dc.date.issued2022
dc.description.abstractThis chapter is dedicated to give a brief introduction to the frequency domain analysis of random processes. The Fourier transform transfers a function f(t) from the time domain into the frequency domain. Please note that, f(t) should satisfy the Dirichlet conditions in order to have its Fourier transform. © 2021 Elsevier B.V., All rights reserved.
dc.identifier.doi10.1007/978-3-030-82922-3_7
dc.identifier.endpage124
dc.identifier.isbn9783319432700
dc.identifier.issn21984190
dc.identifier.issn21984182
dc.identifier.scopus2-s2.0-85113650629
dc.identifier.startpage117
dc.identifier.urihttps://doi.org/10.1007/978-3-030-82922-3_7
dc.identifier.urihttps://hdl.handle.net/20.500.14719/9276
dc.identifier.volume390
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.sourceStudies in Systems, Decision and Control
dc.titleSpectral Analysis of Random Processes
dc.typeBook Chapter
dspace.entity.typePublication
local.indexed.atScopus
person.identifier.scopus-author-id26654111100
person.identifier.scopus-author-id8834494700
person.identifier.scopus-author-id56854903200

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