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Fourier transform and fourier series

dc.contributor.authorSaeed Hazkial Gerges, Mariam 
dc.date.accessioned2024-07-11T07:31:47Z
dc.date.available2024-07-11T07:31:47Z
dc.date.issued2022
dc.identifier.isbn978-012823211-8
dc.identifier.urihttps://hdl.handle.net/10651/73459
dc.description.abstractThis article discusses Fourier analysis and associated transform methods for both discrete-time and continuous-time signals and system. Fourier analysis is based on using real or complex sinusoidal functions, and it allows signals to be represented in terms of sums of sinusoidal components (i.e., sine and cosine functions). This allows decomposing any complex periodic or non-periodic signal into easy-to-handle sine and cosine waveforms which facilitates their mathematical manipulation and understanding.
dc.format.extentp. 622-626
dc.language.isoeng
dc.relation.ispartofEncyclopedia of Electrical and Electronic Power Engineering: Volumes 1-3
dc.rightsCopyright © 2023 Elsevier Inc.
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85186840048&doi=10.1016%2fB978-0-12-821204-2.00093-3&partnerID=40&md5=5a44319d4007f61f7986677070d84db2
dc.titleFourier transform and fourier series
dc.typebook part
dc.identifier.doi10.1016/B978-0-12-821204-2.00093-3
dc.relation.publisherversionhttp://dx.doi.org/10.1016/B978-0-12-821204-2.00093-3


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