{"id":"https://openalex.org/W1993770090","doi":"https://doi.org/10.1109/globalsip.2014.7032150","title":"MUSIC for joint frequency estimation: Stability with compressive measurements","display_name":"MUSIC for joint frequency estimation: Stability with compressive measurements","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1993770090","doi":"https://doi.org/10.1109/globalsip.2014.7032150","mag":"1993770090"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2014.7032150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5050616963","display_name":"Wenjing Liao","orcid":"https://orcid.org/0000-0003-2309-3839"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]},{"id":"https://openalex.org/I1343558604","display_name":"Statistical and Applied Mathematical Sciences Institute","ror":"https://ror.org/01shctp43","country_code":"US","type":"facility","lineage":["https://openalex.org/I1311060795","https://openalex.org/I1343558604"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenjing Liao","raw_affiliation_strings":["Department of Mathematics, Duke University, Durham, NC, USA","Statistical and Applied Mathematical Sciences Institute, Department of Mathematics, Duke University, Durham, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Statistical and Applied Mathematical Sciences Institute, Department of Mathematics, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I1343558604"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050616963"],"corresponding_institution_ids":["https://openalex.org/I1343558604","https://openalex.org/I170897317"],"apc_list":null,"apc_paid":null,"fwci":0.2911,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.53315972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"414","last_page":"418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9977999925613403,"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/noise","display_name":"Noise (video)","score":0.5460904836654663},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.540503978729248},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5323090553283691},{"id":"https://openalex.org/keywords/value-noise","display_name":"Value noise","score":0.4971638023853302},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.49168187379837036},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4906879663467407},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.4724362790584564},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.43539249897003174},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.4324853718280792},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4212111830711365},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.41747161746025085},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.4115644097328186},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.4035964906215668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36628222465515137},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.33822375535964966},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.20302459597587585},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.18591079115867615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17653611302375793}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5460904836654663},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.540503978729248},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5323090553283691},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.4971638023853302},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.49168187379837036},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4906879663467407},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.4724362790584564},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.43539249897003174},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.4324853718280792},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4212111830711365},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.41747161746025085},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.4115644097328186},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.4035964906215668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36628222465515137},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33822375535964966},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.20302459597587585},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.18591079115867615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17653611302375793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2014.7032150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1486874193","https://openalex.org/W1490690092","https://openalex.org/W1521023302","https://openalex.org/W1541274941","https://openalex.org/W1604829809","https://openalex.org/W1969266036","https://openalex.org/W1970136394","https://openalex.org/W2018778093","https://openalex.org/W2035816523","https://openalex.org/W2047589476","https://openalex.org/W2055838441","https://openalex.org/W2078524554","https://openalex.org/W2079600388","https://openalex.org/W2097670707","https://openalex.org/W2107411554","https://openalex.org/W2113638573","https://openalex.org/W2119499160","https://openalex.org/W2121165908","https://openalex.org/W2123457453","https://openalex.org/W2133285942","https://openalex.org/W2135255014","https://openalex.org/W2140166042","https://openalex.org/W2145096794","https://openalex.org/W2149755721","https://openalex.org/W2150529197","https://openalex.org/W2153070503","https://openalex.org/W2157656280","https://openalex.org/W2162654459","https://openalex.org/W2169892604","https://openalex.org/W2296616510","https://openalex.org/W2321362635","https://openalex.org/W2565293665","https://openalex.org/W2962917334","https://openalex.org/W2963746586","https://openalex.org/W2964325628","https://openalex.org/W3098045837","https://openalex.org/W3100313521","https://openalex.org/W3106271742","https://openalex.org/W4230402770","https://openalex.org/W4250955649","https://openalex.org/W6631207072","https://openalex.org/W6636156430","https://openalex.org/W6652983934","https://openalex.org/W6662527192","https://openalex.org/W6786336453"],"related_works":["https://openalex.org/W3125397569","https://openalex.org/W4226451553","https://openalex.org/W2588855097","https://openalex.org/W2161471497","https://openalex.org/W2032021057","https://openalex.org/W2170781407","https://openalex.org/W2005333371","https://openalex.org/W3033631740","https://openalex.org/W2144739192","https://openalex.org/W3149431777"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,18,31,66,72,77,80,98,108,131,139],"application":[4],"of":[5,20,33,71,110,122,126,142,157],"MUtiple":[6],"Signal":[7],"Classification":[8],"(MUSIC)":[9],"algorithm":[10,50],"on":[11],"Multiple":[12],"Measurement":[13],"Vector":[14],"(MMV)":[15],"problem":[16],"for":[17],"purpose":[19],"frequency":[21],"parameter":[22],"estimation":[23],"while":[24],"s":[25,67],"true":[26,81],"frequencies":[27,82],"are":[28,39,83],"located":[29],"in":[30],"continuum":[32],"a":[34,43,54,60,117,123,155],"bounded":[35],"domain":[36],"and":[37,64],"sensors":[38,111,147],"randomly":[40],"selected":[41],"from":[42,57],"Uniform":[44],"Linear":[45],"Array":[46],"(ULA).":[47],"The":[48],"MUSIC":[49,143],"amounts":[51],"to":[52,116],"identifying":[53],"noise":[55,106],"subspace":[56],"measurements,":[58],"forming":[59],"noise-space":[61,73,99],"correlation":[62,74,100],"function":[63,101],"searching":[65],"smallest":[68],"local":[69],"minima":[70],"function.":[75],"Under":[76],"assumption":[78],"that":[79,94,138],"separated":[84],"by":[85,105,120],"at":[86],"least":[87],"one":[88],"Rayleigh":[89],"Length":[90],"(RL),":[91],"we":[92],"show":[93],"with":[95,144],"high":[96],"probability":[97],"is":[102,153],"stably":[103],"perturbed":[104],"if":[107],"number":[109],"n":[112,145,152],"~":[113],"O(s)":[114],"up":[115],"logarithmic":[118],"factor":[119],"means":[121],"compressive":[124],"version":[125],"discrete":[127],"Ingham":[128],"inequalities.":[129],"As":[130],"theory":[132],"implies,":[133],"our":[134],"numerical":[135],"experiments":[136],"demonstrate":[137],"reconstruction":[140],"error":[141],"random":[146],"makes":[148],"little":[149],"difference":[150],"once":[151],"above":[154],"point":[156],"transition.":[158]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}