{"id":"https://openalex.org/W2995288170","doi":"https://doi.org/10.1109/wcsp.2019.8927882","title":"Optimally Weighted Music Estimator of Common Sinusoidal Poles from Multiple Channels","display_name":"Optimally Weighted Music Estimator of Common Sinusoidal Poles from Multiple Channels","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2995288170","doi":"https://doi.org/10.1109/wcsp.2019.8927882","mag":"2995288170"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2019.8927882","doi":"https://doi.org/10.1109/wcsp.2019.8927882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2019.8927882","pdf_url":null,"source":{"id":"https://openalex.org/S4363607893","display_name":"International Conference on Wireless Communications and Signal Processing (WCSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5101546203","display_name":"Zhenhua Zhou","orcid":"https://orcid.org/0000-0002-6051-2193","observed_orcids":["https://orcid.org/0000-0002-6051-2193"]},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Zhou","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413418","display_name":"Shengli Zhang","orcid":"https://orcid.org/0000-0002-7937-5870","observed_orcids":["https://orcid.org/0000-0002-7937-5870","https://orcid.org/0000-0003-4775-6406"]},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Zhang","raw_affiliation_strings":["College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100460841","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0002-8476-888X","observed_orcids":["https://orcid.org/0000-0002-8476-888X"]},"institutions":[{"id":"https://openalex.org/I4210162809","display_name":"Kashi University","ror":"https://ror.org/055a4rj94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162809"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Kashi University, Kashgar, Xinjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kashi University, Kashgar, Xinjiang, China","institution_ids":["https://openalex.org/I4210162809"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4348,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52427035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"43","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9639000296592712,"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"}},"topics":[{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9639000296592712,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.013799999840557575,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.003100000089034438,"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/multi-channel","display_name":"multiple channels","score":0.640999972820282},{"id":"https://openalex.org/keywords/music-algorithm","display_name":"MUSIC algorithm","score":0.8820000290870667},{"id":"https://openalex.org/keywords/cramer-rao-lower-bound","display_name":"Cramer-Rao lower bound","score":0.8389999866485596},{"id":"https://openalex.org/keywords/parameter-estimation","display_name":"parameter estimation","score":0.5299999713897705}],"concepts":[{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.8319498300552368},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7684735059738159},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.574887752532959},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5648095607757568},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5313433408737183},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5236415863037109},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4930207431316376},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4658281207084656},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.46096915006637573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4496758282184601},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32404279708862305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13345950841903687},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2019.8927882","doi":"https://doi.org/10.1109/wcsp.2019.8927882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2019.8927882","pdf_url":null,"source":{"id":"https://openalex.org/S4363607893","display_name":"International Conference on Wireless Communications and Signal Processing (WCSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W296863324","https://openalex.org/W653761051","https://openalex.org/W1986659997","https://openalex.org/W1990072752","https://openalex.org/W1997459623","https://openalex.org/W2003021122","https://openalex.org/W2019597965","https://openalex.org/W2043362825","https://openalex.org/W2044088254","https://openalex.org/W2056144817","https://openalex.org/W2058601902","https://openalex.org/W2058884773","https://openalex.org/W2065159863","https://openalex.org/W2070218460","https://openalex.org/W2102104017","https://openalex.org/W2102736780","https://openalex.org/W2106156417","https://openalex.org/W2120954484","https://openalex.org/W2133597091","https://openalex.org/W2138643315","https://openalex.org/W2143418699","https://openalex.org/W2145433829","https://openalex.org/W2530877707","https://openalex.org/W2548842562","https://openalex.org/W2913465992","https://openalex.org/W2941730853"],"related_works":["https://openalex.org/W2092718040","https://openalex.org/W7097283720","https://openalex.org/W1969361219","https://openalex.org/W2141090080","https://openalex.org/W2006690559","https://openalex.org/W1987485830","https://openalex.org/W2148385139","https://openalex.org/W2166764037","https://openalex.org/W2153517094","https://openalex.org/W2157084063"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,6,9,20,23,33,37,41,49,57,64,71,77,92],"problem":[4],"of":[5,8,36,56,70],"estimation":[7,21],"common":[10,58],"sinusoidal":[11],"poles":[12,59],"from":[13],"multiple":[14],"channels":[15],"is":[16,74],"addressed.":[17],"We":[18],"conduct":[19],"by":[22,62,76],"MUSIC":[24],"method.":[25],"To":[26],"improve":[27],"its":[28],"accuracy,":[29],"we":[30,47],"firstly":[31],"analyze":[32],"statistical":[34],"property":[35],"orthogonality":[38,66],"error":[39],"between":[40],"signal":[42],"and":[43,80],"noise":[44],"subspaces.":[45],"Then,":[46],"derive":[48],"Markov":[50],"optimum":[51],"weighting":[52],"matrix.":[53],"The":[54,68],"parameters":[55],"are":[60],"estimated":[61],"minimizing":[63],"weighted":[65],"error.":[67],"superiority":[69],"proposed":[72],"estimator":[73],"validated":[75],"theoretical":[78],"analysis":[79],"simulation":[81],"results":[82],"in":[83],"comparison":[84],"with":[85],"other":[86],"existing":[87],"schemes":[88],"as":[89,91],"well":[90],"Cram\u00e9r-Rao":[93],"lower":[94],"bound.":[95]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2019-12-26T00:00:00"}
