<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-20T09:29:34Z</responseDate><request verb="GetRecord" identifier="oai:repositorio.utb.edu.co:20.500.12585/9077" metadataPrefix="dim">https://repositorio.utb.edu.co/server/oai/request</request><GetRecord><record><header><identifier>oai:repositorio.utb.edu.co:20.500.12585/9077</identifier><datestamp>2025-04-09T03:36:20Z</datestamp><setSpec>com_20.500.12585_1</setSpec><setSpec>col_20.500.12585_8849</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="creator">Torres R.</dim:field>
   <dim:field mdschema="dc" element="creator">Torres E.</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2020-03-26T16:32:54Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2020-03-26T16:32:54Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2013</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="citation">IEEE Transactions on Signal Processing; Vol. 61, Núm. 6; pp. 1555-1560</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="issn">1053587X</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/20.500.12585/9077</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="doi">10.1109/TSP.2012.2236834</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="instname">Universidad Tecnológica de Bolívar</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="reponame">Repositorio UTB</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="orcid">56270896900</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="orcid">35094573000</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="eng">In this paper, a generalized notion of wide-sense α-stationarity for random signals is presented. The notion of stationarity is fundamental in the Fourier analysis of random signals. For this purpose, a definition of the fractional correlation between two random variables is introduced. It is shown that for wide-sense α-stationary random signals, the fractional correlation and the fractional power spectral density functions form a fractional Fourier transform pair. Thus, the concept of α-stationarity plays an important role in the analysis of random signals through the fractional Fourier transform for signals nonstationary in the standard formulation, but α-stationary. Furthermore, we define the α-Wigner-Ville distribution in terms of the fractional correlation function, in which the standard Fourier analysis is the particular case for α=pi2, and it leads to the Wiener-Khinchin theorem. © 1991-2012 IEEE.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="medium">Recurso electrónico</dim:field>
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   <dim:field mdschema="dc" element="language" qualifier="iso">eng</dim:field>
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   <dim:field mdschema="dc" element="source">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875015943&amp;doi=10.1109%2fTSP.2012.2236834&amp;partnerID=40&amp;md5=8948c99af3dc2f6f9bcba86bcaee6a4d</dim:field>
   <dim:field mdschema="dc" element="title">Fractional Fourier analysis of random signals and the notion of α -Stationarity of the Wigner-Ville distribution</dim:field>
   <dim:field mdschema="dc" element="type">Artículo</dim:field>
   <dim:field mdschema="dc" element="type" qualifier="driver">info:eu-repo/semantics/article</dim:field>
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   <dim:field mdschema="dc" element="subject" qualifier="keywords">Fractional correlation</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="keywords">Fractional Fourier transformation</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="keywords">Fractional power spectral density</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="keywords">Random signals</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="keywords">Wiener-Khinchin theorem</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="keywords">Wigner-Ville distribution</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="keywords">Fractional correlation</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="keywords">Fractional Fourier Transformations</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="keywords">Fractional power spectral density</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="keywords">Random signal</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="keywords">Wiener-Khinchin theorem</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="keywords">Fourier optics</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="keywords">Power spectral density</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="keywords">Wigner-Ville distribution</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="keywords">Fourier analysis</dim:field>
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