{"id":"https://openalex.org/W2889073991","doi":"https://doi.org/10.1109/iwcmc.2018.8450278","title":"Cyclic Spectrum Estimation Under Compressive Sensing by the Strip Spectral Correlation Algorithm","display_name":"Cyclic Spectrum Estimation Under Compressive Sensing by the Strip Spectral Correlation Algorithm","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2889073991","doi":"https://doi.org/10.1109/iwcmc.2018.8450278","mag":"2889073991"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2018.8450278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2018.8450278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th International Wireless Communications &amp; Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101484838","display_name":"Yulong Gao","orcid":"https://orcid.org/0000-0003-2433-4075"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulong Gao","raw_affiliation_strings":["Communication Research Center, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication Research Center, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101416294","display_name":"Song Wang","orcid":"https://orcid.org/0000-0002-7682-5987"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Wang","raw_affiliation_strings":["Communication Research Center, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication Research Center, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038297858","display_name":"Yanping Chen","orcid":"https://orcid.org/0000-0002-7765-8201"},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Chen","raw_affiliation_strings":["School of Computer and Information Engineering, Harbin University of Commerce, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Harbin University of Commerce, Harbin, China","institution_ids":["https://openalex.org/I41208885"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102751028","display_name":"Yuming Wei","orcid":"https://orcid.org/0000-0003-4234-8809"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Wei","raw_affiliation_strings":["Communication Research Center, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication Research Center, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7301,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76243699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cyclostationary-process","display_name":"Cyclostationary process","score":0.9598548412322998},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.8399102687835693},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7043396830558777},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.6004006862640381},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5774667263031006},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5458609461784363},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.520477294921875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4996011257171631},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4730205535888672},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.4501391351222992},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.40362656116485596},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3660409450531006},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15851536393165588}],"concepts":[{"id":"https://openalex.org/C178351263","wikidata":"https://www.wikidata.org/wiki/Q3922399","display_name":"Cyclostationary process","level":3,"score":0.9598548412322998},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8399102687835693},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7043396830558777},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.6004006862640381},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5774667263031006},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5458609461784363},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.520477294921875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4996011257171631},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4730205535888672},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.4501391351222992},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.40362656116485596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3660409450531006},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15851536393165588},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc.2018.8450278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2018.8450278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th International Wireless Communications &amp; Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5600000023841858}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1981950047","https://openalex.org/W2010310716","https://openalex.org/W2012864021","https://openalex.org/W2037701747","https://openalex.org/W2061944021","https://openalex.org/W2072987322","https://openalex.org/W2114665517","https://openalex.org/W2116457356","https://openalex.org/W2127785516","https://openalex.org/W2138953932","https://openalex.org/W2139737450","https://openalex.org/W2335894546","https://openalex.org/W2539166773","https://openalex.org/W2585385231","https://openalex.org/W2605565881","https://openalex.org/W2735346878","https://openalex.org/W2775383661","https://openalex.org/W2784036533"],"related_works":["https://openalex.org/W943561131","https://openalex.org/W1490820195","https://openalex.org/W2360821999","https://openalex.org/W2364216765","https://openalex.org/W2533983735","https://openalex.org/W3036090979","https://openalex.org/W2002970502","https://openalex.org/W2363371188","https://openalex.org/W2358225852","https://openalex.org/W2492622281"],"abstract_inverted_index":{"Cyclic":[0],"spectrum":[1,87,102],"is":[2,53],"a":[3],"basic":[4],"tool":[5],"to":[6,30],"study":[7],"the":[8,14,40,46,83,94,119,128],"cyclostationary":[9],"of":[10,16,65,85,96],"signal.":[11],"It":[12],"has":[13,63],"advantages":[15],"high":[17,72,77],"resolution,":[18],"anti-interference":[19],"ability":[20],"and":[21,45,58,114],"low":[22],"channel":[23],"environment":[24],"sensitivity.":[25],"These":[26],"properties":[27],"are":[28,36],"beneficial":[29],"process":[31],"digital":[32],"modulated":[33],"signals.":[34],"There":[35],"two":[37],"time-smoothed":[38],"algorithms:":[39],"FFT":[41],"Accumulation":[42],"Method":[43],"(FAM)":[44],"Strip":[47],"Spectral":[48],"Correlation":[49],"Algorithm":[50],"(SSCA).":[51],"SSCA":[52],"suitable":[54],"for":[55],"fast":[56],"estimation":[57],"engineering":[59],"realizable,":[60],"while":[61],"FAM":[62],"shortcoming":[64],"complex":[66],"computation.":[67],"But":[68],"both":[69],"methods":[70],"need":[71],"sampling":[73],"rate":[74],"that":[75,118],"requires":[76],"performance":[78,124],"analog-to-digital":[79],"converter.":[80],"To":[81],"improve":[82],"efficiency":[84],"cyclic":[86,101],"estimation,":[88],"we":[89],"propose":[90],"CS-SSCA":[91],"algorithm":[92,121],"in":[93],"framework":[95],"Compressive":[97],"Sensing":[98],"(CS).":[99],"The":[100,111],"can":[103],"be":[104],"recovered":[105],"via":[106],"compressed":[107],"samples":[108],"by":[109],"SSCA.":[110],"theoretical":[112],"analysis":[113],"simulation":[115],"results":[116],"prove":[117],"improved":[120],"displays":[122],"better":[123],"than":[125],"CS-FAM":[126],"under":[127],"same":[129],"conditions.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
