{"id":"https://openalex.org/W3172983489","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443520","title":"3-D MUSIC Spectrum Reconstruction for Joint Azimuth-Elevation-Frequency Band Estimation","display_name":"3-D MUSIC Spectrum Reconstruction for Joint Azimuth-Elevation-Frequency Band Estimation","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3172983489","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443520","mag":"3172983489"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","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/A5071241768","display_name":"Hasbi N. P. Wisudawan","orcid":"https://orcid.org/0000-0003-2091-9965"},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]},{"id":"https://openalex.org/I35427347","display_name":"Islamic University of Indonesia","ror":"https://ror.org/000pmrk50","country_code":"ID","type":"education","lineage":["https://openalex.org/I35427347"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Hasbi N. P. Wisudawan","raw_affiliation_strings":["Department of Electrical Engineering, Universitas Islam Indonesia, Indonesia","Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universitas Islam Indonesia, Indonesia","institution_ids":["https://openalex.org/I35427347"]},{"raw_affiliation_string":"Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia","institution_ids":["https://openalex.org/I165230279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034189885","display_name":"Dyonisius Dony Ariananda","orcid":"https://orcid.org/0009-0002-9015-1648"},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dyonisius Dony Ariananda","raw_affiliation_strings":["Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia","institution_ids":["https://openalex.org/I165230279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010571279","display_name":"Risanuri Hidayat","orcid":"https://orcid.org/0000-0002-7381-4633"},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Risanuri Hidayat","raw_affiliation_strings":["Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia","institution_ids":["https://openalex.org/I165230279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071241768"],"corresponding_institution_ids":["https://openalex.org/I165230279","https://openalex.org/I35427347"],"apc_list":null,"apc_paid":null,"fwci":0.4546,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.63949967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1250","last_page":"1254"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/azimuth","display_name":"Azimuth","score":0.7286442518234253},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.503804624080658},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5015552043914795},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.4932357668876648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46314096450805664},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4285213351249695},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.42027753591537476},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37992778420448303},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3592728078365326},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20621821284294128},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16792944073677063},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1624157428741455},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.08303704857826233}],"concepts":[{"id":"https://openalex.org/C159737794","wikidata":"https://www.wikidata.org/wiki/Q124274","display_name":"Azimuth","level":2,"score":0.7286442518234253},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.503804624080658},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5015552043914795},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.4932357668876648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46314096450805664},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4285213351249695},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.42027753591537476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37992778420448303},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3592728078365326},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20621821284294128},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16792944073677063},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1624157428741455},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.08303704857826233},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6200000047683716,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1581554073","https://openalex.org/W2119412403","https://openalex.org/W2119667497","https://openalex.org/W2121157816","https://openalex.org/W2122579903","https://openalex.org/W2164390589","https://openalex.org/W2168156431","https://openalex.org/W2587652998","https://openalex.org/W2765722836","https://openalex.org/W2782743463","https://openalex.org/W2808186363","https://openalex.org/W2964011032","https://openalex.org/W2964294197","https://openalex.org/W2981439967","https://openalex.org/W3102886216","https://openalex.org/W4250923177","https://openalex.org/W6634697270"],"related_works":["https://openalex.org/W2379468505","https://openalex.org/W2054047433","https://openalex.org/W2393783098","https://openalex.org/W2071548530","https://openalex.org/W2981006997","https://openalex.org/W2391200166","https://openalex.org/W4306699763","https://openalex.org/W2391542619","https://openalex.org/W2778878701","https://openalex.org/W2310618597"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,92,102],"three-dimensional":[4],"(3-D)":[5],"multiple":[6],"signal":[7,127],"classification":[8],"(MUSIC)":[9],"spectrum":[10],"reconstruction":[11],"that":[12,187],"can":[13,168],"be":[14],"used":[15],"to":[16,91,113,123,135],"jointly":[17],"estimate":[18,124],"the":[19,22,25,29,47,50,70,73,109,115,118,125,129,137,143,148,165,173,179,188,195],"frequency":[20,180],"band,":[21],"azimuth,":[23],"and":[24,37,80,157,170,175,178],"elevation":[26,176],"angles":[27],"of":[28,49,55,145,182,190,197],"sources":[30,191],"from":[31],"digital":[32],"samples":[33],"produced":[34],"by":[35,142],"time-":[36],"spatial-domain":[38],"(SD)":[39],"compression.":[40],"An":[41],"SD":[42],"compression":[43],"is":[44,106,133,192],"applied":[45,107,134],"on":[46,69,108,117,147],"output":[48],"underlying":[51],"uniform":[52],"rectangular":[53,94],"array":[54,95],"N":[56,58,62,99],"=":[57],"<sub":[59,63,75,82],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[60,64,76,83],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">x</sub>":[61,77],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">y</sub>":[65,84],"antenna":[66],"elements":[67],"based":[68],"solution":[71],"for":[72],"length-(N":[74,81],"-":[78,85],"1)":[79,86],"minimal":[87],"sparse":[88,93],"ruler":[89],"leading":[90],"having":[96],"M":[97],"<;":[98],"elements.":[100],"Then,":[101],"sub-Nyquist":[103],"rate":[104],"sampling":[105],"received":[110],"analogue":[111],"signals":[112],"relieve":[114],"burden":[116],"analogue-to-digital":[119],"converter.":[120],"In":[121],"order":[122],"three":[126],"parameters,":[128],"three-step":[130],"least-square":[131],"method":[132],"reconstruct":[136],"3-D":[138],"correlation":[139,150],"tensor":[140],"followed":[141],"application":[144],"MUSIC":[146],"resulting":[149],"tensor.":[151],"By":[152],"only":[153],"using":[154],"25":[155],"sensors":[156],"low":[158],"signal-to-noise":[159],"ratio":[160],"(SNR),":[161],"i.e.":[162],"0":[163],"dB,":[164],"proposed":[166],"approach":[167],"simultaneously":[169],"accurately":[171],"locate":[172],"azimuth":[174],"angles,":[177],"band":[181],"28":[183],"far-field":[184],"sources.":[185],"Note":[186],"number":[189,196],"greater":[193],"than":[194],"sensors.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}