{"id":"https://openalex.org/W2769341430","doi":"https://doi.org/10.1109/iwsda.2017.8095726","title":"A new method to construct golay complementary set and near-complementary set by paraunitary matrices","display_name":"A new method to construct golay complementary set and near-complementary set by paraunitary matrices","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2769341430","doi":"https://doi.org/10.1109/iwsda.2017.8095726","mag":"2769341430"},"language":"en","primary_location":{"id":"doi:10.1109/iwsda.2017.8095726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwsda.2017.8095726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Eighth International Workshop on Signal Design and Its Applications in Communications (IWSDA)","raw_type":"proceedings-article"},"type":"article","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/A5089164272","display_name":"Dongxu Ma","orcid":"https://orcid.org/0000-0002-4583-5920"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongxu Ma","raw_affiliation_strings":["Department of ECE at University of Waterloo","State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of ECE at University of Waterloo","institution_ids":[]},{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384099","display_name":"Zilong Wang","orcid":"https://orcid.org/0000-0002-1525-3356"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilong Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036636567","display_name":"Guang Gong","orcid":"https://orcid.org/0000-0003-2684-9259"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Guang Gong","raw_affiliation_strings":["IEEE Fellow, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"IEEE Fellow, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024453724","display_name":"Hui Li","orcid":"https://orcid.org/0000-0001-8310-7169"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["IEEE Fellow, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"IEEE Fellow, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089164272"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.43,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66357543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"47","issue":null,"first_page":"9","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11873","display_name":"PAPR reduction in OFDM","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11797","display_name":"graph theory and CDMA systems","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/binary-golay-code","display_name":"Binary Golay code","score":0.9787473678588867},{"id":"https://openalex.org/keywords/complementary-sequences","display_name":"Complementary sequences","score":0.742763340473175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.661456823348999},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.6595951318740845},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6563311219215393},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.6235971450805664},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6056261658668518},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.575222909450531},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.5479882955551147},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.5039862990379333},{"id":"https://openalex.org/keywords/power-of-two","display_name":"Power of two","score":0.47506898641586304},{"id":"https://openalex.org/keywords/power-set","display_name":"Power set","score":0.42164090275764465},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33595675230026245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2464977204799652}],"concepts":[{"id":"https://openalex.org/C165293857","wikidata":"https://www.wikidata.org/wiki/Q1534522","display_name":"Binary Golay code","level":2,"score":0.9787473678588867},{"id":"https://openalex.org/C32795469","wikidata":"https://www.wikidata.org/wiki/Q5156430","display_name":"Complementary sequences","level":2,"score":0.742763340473175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.661456823348999},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.6595951318740845},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6563311219215393},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.6235971450805664},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6056261658668518},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.575222909450531},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.5479882955551147},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.5039862990379333},{"id":"https://openalex.org/C7720571","wikidata":"https://www.wikidata.org/wiki/Q1136880","display_name":"Power of two","level":2,"score":0.47506898641586304},{"id":"https://openalex.org/C100643331","wikidata":"https://www.wikidata.org/wiki/Q205170","display_name":"Power set","level":3,"score":0.42164090275764465},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33595675230026245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2464977204799652},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/iwsda.2017.8095726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwsda.2017.8095726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Eighth International Workshop on Signal Design and Its Applications in Communications (IWSDA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W83818095","https://openalex.org/W1995336810","https://openalex.org/W2073234566","https://openalex.org/W2081226011","https://openalex.org/W2098624007","https://openalex.org/W2103462022","https://openalex.org/W2107415712","https://openalex.org/W2135689668","https://openalex.org/W2136435457","https://openalex.org/W2137990165","https://openalex.org/W2154416717","https://openalex.org/W2160136043","https://openalex.org/W2160845380","https://openalex.org/W2168790906","https://openalex.org/W2294688254","https://openalex.org/W2963912591","https://openalex.org/W4236804519"],"related_works":["https://openalex.org/W2094398455","https://openalex.org/W3150133249","https://openalex.org/W2028812061","https://openalex.org/W2950105793","https://openalex.org/W2136167010","https://openalex.org/W2129819731","https://openalex.org/W2155233959","https://openalex.org/W3197829138","https://openalex.org/W2077703955","https://openalex.org/W2968872208"],"abstract_inverted_index":{"We":[0],"present":[1],"our":[2,70,106],"previous":[3],"work":[4],"in":[5,7,101],"[17]":[6],"a":[8,55,78],"more":[9],"generic":[10],"way":[11],"to":[12],"construct":[13],"q-ary":[14],"Golay":[15,81],"complementary":[16,98],"sets":[17,20],"and":[18,24,52,89],"near-complementary":[19],"of":[21,49,57,62,96],"size":[22],"N":[23,29,53],"sequence":[25],"length":[26,48],"M":[27,45],"\u00b7":[28],"<sup":[30],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[31],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">m</sup>":[32],"by":[33,105],"using":[34],"different":[35],"seed":[36,50],"sequences,":[37],"where":[38],"m":[39],"is":[40,46,54],"an":[41],"arbitrary":[42],"non-negative":[43],"integer,":[44],"the":[47,93],"sequences":[51,64,99],"power":[56],"2.":[58],"The":[59],"boolean":[60,94],"functions":[61,95],"these":[63],"will":[65,76,91],"also":[66],"be":[67],"derived":[68],"with":[69],"method.":[71,107],"To":[72],"illustrate":[73],"it,":[74],"we":[75,90],"derive":[77],"new":[79],"quaternary":[80],"set":[82],"that":[83],"has":[84],"never":[85],"been":[86],"recorded":[87],"before,":[88],"rephrase":[92],"near":[97],"presented":[100],"Theorem":[102],"12":[103],"[9]":[104]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
