Loading…

Goodness of fit test for almost cyclostationary processes

This paper is devoted to present a goodness of fit test for discrete-time almost cyclostationary models. The main strategy is based on the spectral support estimation and the application of multiple testing. The results of applying the presented method on simulated and real datasets confirm that the...

Full description

Saved in:
Bibliographic Details
Published in:Digital signal processing 2020-01, Vol.96, p.102597, Article 102597
Main Authors: Mahmoudi, Mohammad Reza, Heydari, Mohammad Hossein, Avazzadeh, Zakieh, Pho, Kim-Hung
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c297t-be73fdf5f9803ed0f4156f5e8396cf64fa53c69119f0324f2b4211117c7a06c13
cites cdi_FETCH-LOGICAL-c297t-be73fdf5f9803ed0f4156f5e8396cf64fa53c69119f0324f2b4211117c7a06c13
container_end_page
container_issue
container_start_page 102597
container_title Digital signal processing
container_volume 96
creator Mahmoudi, Mohammad Reza
Heydari, Mohammad Hossein
Avazzadeh, Zakieh
Pho, Kim-Hung
description This paper is devoted to present a goodness of fit test for discrete-time almost cyclostationary models. The main strategy is based on the spectral support estimation and the application of multiple testing. The results of applying the presented method on simulated and real datasets confirm that the introduced approach acts well in view of power study.
doi_str_mv 10.1016/j.dsp.2019.102597
format article
fullrecord <record><control><sourceid>elsevier_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1016_j_dsp_2019_102597</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1051200419301514</els_id><sourcerecordid>S1051200419301514</sourcerecordid><originalsourceid>FETCH-LOGICAL-c297t-be73fdf5f9803ed0f4156f5e8396cf64fa53c69119f0324f2b4211117c7a06c13</originalsourceid><addsrcrecordid>eNp9j09LAzEQxYMoWKsfwNt-ga0z-bcNnqRoFQpe9By22RlIaZuSLEK_vSnr2bm8NzBveD8hHhEWCGifdouhnBYS0NVdGtddiRmCM61WSl1fvMFWAuhbcVfKDgA6Le1MuHVKw5FKaRI3HMdmpDI2nHLT7w-p2nAO-6r9GNOxz-fmlFOo51TuxQ33-0IPfzoX32-vX6v3dvO5_li9bNogXTe2W-oUD2zYLUHRAKzRWDa0VM4Gtpp7o4J1iI5BSc1yqyXW6ULXgw2o5gKnvyGnUjKxP-V4qFU8gr-w-52v7P7C7if2mnmeMlSL_UTKvoRIx0BDzBRGP6T4T_oXQHBhpw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Goodness of fit test for almost cyclostationary processes</title><source>ScienceDirect Freedom Collection 2022-2024</source><creator>Mahmoudi, Mohammad Reza ; Heydari, Mohammad Hossein ; Avazzadeh, Zakieh ; Pho, Kim-Hung</creator><creatorcontrib>Mahmoudi, Mohammad Reza ; Heydari, Mohammad Hossein ; Avazzadeh, Zakieh ; Pho, Kim-Hung</creatorcontrib><description>This paper is devoted to present a goodness of fit test for discrete-time almost cyclostationary models. The main strategy is based on the spectral support estimation and the application of multiple testing. The results of applying the presented method on simulated and real datasets confirm that the introduced approach acts well in view of power study.</description><identifier>ISSN: 1051-2004</identifier><identifier>EISSN: 1095-4333</identifier><identifier>DOI: 10.1016/j.dsp.2019.102597</identifier><language>eng</language><publisher>Elsevier Inc</publisher><subject>Almost cyclostationary ; Almost periodically correlated ; Detection ; Discrete Fourier transform ; Multiple testing ; Spectral analysis</subject><ispartof>Digital signal processing, 2020-01, Vol.96, p.102597, Article 102597</ispartof><rights>2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c297t-be73fdf5f9803ed0f4156f5e8396cf64fa53c69119f0324f2b4211117c7a06c13</citedby><cites>FETCH-LOGICAL-c297t-be73fdf5f9803ed0f4156f5e8396cf64fa53c69119f0324f2b4211117c7a06c13</cites><orcidid>0000-0003-0410-8839 ; 0000-0001-6764-4394 ; 0000-0003-4686-0930</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Mahmoudi, Mohammad Reza</creatorcontrib><creatorcontrib>Heydari, Mohammad Hossein</creatorcontrib><creatorcontrib>Avazzadeh, Zakieh</creatorcontrib><creatorcontrib>Pho, Kim-Hung</creatorcontrib><title>Goodness of fit test for almost cyclostationary processes</title><title>Digital signal processing</title><description>This paper is devoted to present a goodness of fit test for discrete-time almost cyclostationary models. The main strategy is based on the spectral support estimation and the application of multiple testing. The results of applying the presented method on simulated and real datasets confirm that the introduced approach acts well in view of power study.</description><subject>Almost cyclostationary</subject><subject>Almost periodically correlated</subject><subject>Detection</subject><subject>Discrete Fourier transform</subject><subject>Multiple testing</subject><subject>Spectral analysis</subject><issn>1051-2004</issn><issn>1095-4333</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9j09LAzEQxYMoWKsfwNt-ga0z-bcNnqRoFQpe9By22RlIaZuSLEK_vSnr2bm8NzBveD8hHhEWCGifdouhnBYS0NVdGtddiRmCM61WSl1fvMFWAuhbcVfKDgA6Le1MuHVKw5FKaRI3HMdmpDI2nHLT7w-p2nAO-6r9GNOxz-fmlFOo51TuxQ33-0IPfzoX32-vX6v3dvO5_li9bNogXTe2W-oUD2zYLUHRAKzRWDa0VM4Gtpp7o4J1iI5BSc1yqyXW6ULXgw2o5gKnvyGnUjKxP-V4qFU8gr-w-52v7P7C7if2mnmeMlSL_UTKvoRIx0BDzBRGP6T4T_oXQHBhpw</recordid><startdate>202001</startdate><enddate>202001</enddate><creator>Mahmoudi, Mohammad Reza</creator><creator>Heydari, Mohammad Hossein</creator><creator>Avazzadeh, Zakieh</creator><creator>Pho, Kim-Hung</creator><general>Elsevier Inc</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-0410-8839</orcidid><orcidid>https://orcid.org/0000-0001-6764-4394</orcidid><orcidid>https://orcid.org/0000-0003-4686-0930</orcidid></search><sort><creationdate>202001</creationdate><title>Goodness of fit test for almost cyclostationary processes</title><author>Mahmoudi, Mohammad Reza ; Heydari, Mohammad Hossein ; Avazzadeh, Zakieh ; Pho, Kim-Hung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c297t-be73fdf5f9803ed0f4156f5e8396cf64fa53c69119f0324f2b4211117c7a06c13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Almost cyclostationary</topic><topic>Almost periodically correlated</topic><topic>Detection</topic><topic>Discrete Fourier transform</topic><topic>Multiple testing</topic><topic>Spectral analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mahmoudi, Mohammad Reza</creatorcontrib><creatorcontrib>Heydari, Mohammad Hossein</creatorcontrib><creatorcontrib>Avazzadeh, Zakieh</creatorcontrib><creatorcontrib>Pho, Kim-Hung</creatorcontrib><collection>CrossRef</collection><jtitle>Digital signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mahmoudi, Mohammad Reza</au><au>Heydari, Mohammad Hossein</au><au>Avazzadeh, Zakieh</au><au>Pho, Kim-Hung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Goodness of fit test for almost cyclostationary processes</atitle><jtitle>Digital signal processing</jtitle><date>2020-01</date><risdate>2020</risdate><volume>96</volume><spage>102597</spage><pages>102597-</pages><artnum>102597</artnum><issn>1051-2004</issn><eissn>1095-4333</eissn><abstract>This paper is devoted to present a goodness of fit test for discrete-time almost cyclostationary models. The main strategy is based on the spectral support estimation and the application of multiple testing. The results of applying the presented method on simulated and real datasets confirm that the introduced approach acts well in view of power study.</abstract><pub>Elsevier Inc</pub><doi>10.1016/j.dsp.2019.102597</doi><orcidid>https://orcid.org/0000-0003-0410-8839</orcidid><orcidid>https://orcid.org/0000-0001-6764-4394</orcidid><orcidid>https://orcid.org/0000-0003-4686-0930</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 1051-2004
ispartof Digital signal processing, 2020-01, Vol.96, p.102597, Article 102597
issn 1051-2004
1095-4333
language eng
recordid cdi_crossref_primary_10_1016_j_dsp_2019_102597
source ScienceDirect Freedom Collection 2022-2024
subjects Almost cyclostationary
Almost periodically correlated
Detection
Discrete Fourier transform
Multiple testing
Spectral analysis
title Goodness of fit test for almost cyclostationary processes
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T21%3A52%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Goodness%20of%20fit%20test%20for%20almost%20cyclostationary%20processes&rft.jtitle=Digital%20signal%20processing&rft.au=Mahmoudi,%20Mohammad%20Reza&rft.date=2020-01&rft.volume=96&rft.spage=102597&rft.pages=102597-&rft.artnum=102597&rft.issn=1051-2004&rft.eissn=1095-4333&rft_id=info:doi/10.1016/j.dsp.2019.102597&rft_dat=%3Celsevier_cross%3ES1051200419301514%3C/elsevier_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c297t-be73fdf5f9803ed0f4156f5e8396cf64fa53c69119f0324f2b4211117c7a06c13%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true