{"id":"https://openalex.org/W2650464418","doi":"https://doi.org/10.1109/icassp.2017.7952754","title":"Jazz: A companion to music for frequency estimation with missing data","display_name":"Jazz: A companion to music for frequency estimation with missing data","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2650464418","doi":"https://doi.org/10.1109/icassp.2017.7952754","mag":"2650464418"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5033881291","display_name":"Qiuwei Li","orcid":"https://orcid.org/0000-0002-2306-6649"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qiuwei Li","raw_affiliation_strings":["Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415967","display_name":"Shuang Li","orcid":"https://orcid.org/0000-0003-3729-7496"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuang Li","raw_affiliation_strings":["Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101648073","display_name":"Hassan Mansour","orcid":"https://orcid.org/0000-0002-1667-9885"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hassan Mansour","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065207980","display_name":"Michael B. Wakin","orcid":"https://orcid.org/0000-0002-2165-4586"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael B. Wakin","raw_affiliation_strings":["Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102747005","display_name":"Dehui Yang","orcid":"https://orcid.org/0000-0001-6984-9553"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dehui Yang","raw_affiliation_strings":["Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011989964","display_name":"Zhihui Zhu","orcid":"https://orcid.org/0000-0002-3856-0375"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhihui Zhu","raw_affiliation_strings":["Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA","institution_ids":["https://openalex.org/I167576493"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5033881291"],"corresponding_institution_ids":["https://openalex.org/I167576493"],"apc_list":null,"apc_paid":null,"fwci":0.7397,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70323604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"3236","last_page":"3240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/toeplitz-matrix","display_name":"Toeplitz matrix","score":0.7434960603713989},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6506870985031128},{"id":"https://openalex.org/keywords/jazz","display_name":"Jazz","score":0.6408814787864685},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5801436901092529},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5246660709381104},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.46027469635009766},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.44266945123672485},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3804817497730255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33706843852996826},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32957038283348083},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23677432537078857},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20004653930664062},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.12540209293365479},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11480721831321716}],"concepts":[{"id":"https://openalex.org/C147710293","wikidata":"https://www.wikidata.org/wiki/Q849428","display_name":"Toeplitz matrix","level":2,"score":0.7434960603713989},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6506870985031128},{"id":"https://openalex.org/C2980749","wikidata":"https://www.wikidata.org/wiki/Q8341","display_name":"Jazz","level":2,"score":0.6408814787864685},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5801436901092529},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5246660709381104},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.46027469635009766},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.44266945123672485},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3804817497730255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33706843852996826},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32957038283348083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23677432537078857},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20004653930664062},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.12540209293365479},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11480721831321716},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":19,"referenced_works":["https://openalex.org/W1166854888","https://openalex.org/W1541064563","https://openalex.org/W2028191993","https://openalex.org/W2064771273","https://openalex.org/W2067718036","https://openalex.org/W2104493645","https://openalex.org/W2113638573","https://openalex.org/W2119499160","https://openalex.org/W2123457453","https://openalex.org/W2141174552","https://openalex.org/W2142949395","https://openalex.org/W2144244295","https://openalex.org/W2162654459","https://openalex.org/W2396808528","https://openalex.org/W2565293665","https://openalex.org/W2913221877","https://openalex.org/W3102206315","https://openalex.org/W3106271742","https://openalex.org/W6627416012"],"related_works":["https://openalex.org/W2494884022","https://openalex.org/W600619470","https://openalex.org/W151496359","https://openalex.org/W1963961813","https://openalex.org/W2747010499","https://openalex.org/W2895105879","https://openalex.org/W2389462125","https://openalex.org/W2005453118","https://openalex.org/W3177981311","https://openalex.org/W2133529351"],"abstract_inverted_index":{"Frequency":[0],"estimation":[1,92],"is":[2],"a":[3,37,53,74],"classical":[4,87],"problem":[5],"in":[6,67,82,94],"signal":[7,66],"processing,":[8],"with":[9,32,73],"applications":[10],"ranging":[11],"from":[12,45],"sensor":[13],"array":[14],"processing":[15],"to":[16,96],"wireless":[17],"communications":[18],"and":[19,93],"structural":[20],"health":[21],"monitoring.":[22],"Modern":[23],"algorithms":[24],"based":[25],"on":[26],"atomic":[27],"norm":[28],"minimization":[29],"can":[30,70],"cope":[31],"missing":[33,43],"data":[34,44],"but":[35],"incur":[36],"high":[38],"computational":[39],"cost.":[40],"To":[41],"recover":[42],"an":[46],"ensemble":[47,69],"of":[48,85,101],"frequency-sparse":[49],"signals,":[50],"we":[51],"propose":[52],"computationally":[54],"efficient":[55],"low-rank":[56],"tensor":[57],"completion":[58],"algorithm":[59,80,89],"that":[60,64],"exploits":[61],"the":[62,68,83,86,97],"fact":[63],"each":[65],"be":[71],"associated":[72],"Toeplitz":[75],"matrix.":[76],"We":[77],"name":[78],"our":[79],"JAZZ":[81],"spirit":[84],"MUSIC":[88],"for":[90],"frequency":[91],"tribute":[95],"random,":[98],"improvisational":[99],"nature":[100],"jazz":[102],"music.":[103]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
