{"id":"https://openalex.org/W2519802736","doi":"https://doi.org/10.1109/sam.2016.7569675","title":"Acoustic image estimation using fast transforms","display_name":"Acoustic image estimation using fast transforms","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2519802736","doi":"https://doi.org/10.1109/sam.2016.7569675","mag":"2519802736"},"language":"en","primary_location":{"id":"doi:10.1109/sam.2016.7569675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2016.7569675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/A5056415233","display_name":"V\u00edtor H. Nascimento","orcid":"https://orcid.org/0000-0002-0543-4735"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Vitor H. Nascimento","raw_affiliation_strings":["University of S\u00e3o Paulo, S\u00e3o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065687124","display_name":"Mateus Silva","orcid":"https://orcid.org/0000-0003-3717-1906"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mateus C. Silva","raw_affiliation_strings":["University of S\u00e3o Paulo, S\u00e3o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030262162","display_name":"Bruno Masiero","orcid":"https://orcid.org/0000-0002-2246-4450"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno S. Masiero","raw_affiliation_strings":["Campinas, University of Campinas, Brazil"],"affiliations":[{"raw_affiliation_string":"Campinas, University of Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056415233"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":0.7565,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72120996,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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/T10860","display_name":"Speech and Audio Processing","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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9986000061035156,"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":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kronecker-delta","display_name":"Kronecker delta","score":0.723838210105896},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.7127569317817688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6679790019989014},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.6068652868270874},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.5845826864242554},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5818465948104858},{"id":"https://openalex.org/keywords/microphone-array","display_name":"Microphone array","score":0.5530967712402344},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5293964743614197},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5073704123497009},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.47665125131607056},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4548701345920563},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.430231511592865},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4207804203033447},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.41949954628944397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3534964323043823},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3273853659629822},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.29603302478790283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22243398427963257},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09249827265739441}],"concepts":[{"id":"https://openalex.org/C39482219","wikidata":"https://www.wikidata.org/wiki/Q192826","display_name":"Kronecker delta","level":2,"score":0.723838210105896},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.7127569317817688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6679790019989014},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.6068652868270874},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.5845826864242554},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5818465948104858},{"id":"https://openalex.org/C2778806681","wikidata":"https://www.wikidata.org/wiki/Q907293","display_name":"Microphone array","level":4,"score":0.5530967712402344},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5293964743614197},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5073704123497009},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.47665125131607056},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4548701345920563},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.430231511592865},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4207804203033447},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.41949954628944397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3534964323043823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3273853659629822},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.29603302478790283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22243398427963257},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09249827265739441},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam.2016.7569675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2016.7569675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1488435683","https://openalex.org/W1506558619","https://openalex.org/W1515333551","https://openalex.org/W1979226744","https://openalex.org/W2004941760","https://openalex.org/W2023632670","https://openalex.org/W2035288273","https://openalex.org/W2053014970","https://openalex.org/W2054537394","https://openalex.org/W2083042020","https://openalex.org/W2110134760","https://openalex.org/W2131768055","https://openalex.org/W2145889030","https://openalex.org/W2162654459","https://openalex.org/W2314340515","https://openalex.org/W2330507950","https://openalex.org/W2488615771","https://openalex.org/W2952350176","https://openalex.org/W3172741423","https://openalex.org/W4241068368","https://openalex.org/W4254094878","https://openalex.org/W7045421366"],"related_works":["https://openalex.org/W2098521117","https://openalex.org/W2465351041","https://openalex.org/W4385694579","https://openalex.org/W2340242818","https://openalex.org/W4300881421","https://openalex.org/W2103001330","https://openalex.org/W4319793311","https://openalex.org/W2241396314","https://openalex.org/W2262109992","https://openalex.org/W2436826437"],"abstract_inverted_index":{"The":[0],"estimation":[1],"of":[2,14,68,77],"acoustic":[3,20],"images":[4],"is":[5,48,63],"a":[6],"computationally-intensive":[7],"task":[8],"for":[9,19,89],"large":[10],"microphone":[11],"arrays.":[12],"One":[13],"the":[15,75,78,98,108],"most":[16],"popular":[17],"algorithms":[18,88],"image":[21],"estimation,":[22,91],"delay-and-sum":[23],"beamforming":[24],"(DAS),":[25],"has":[26],"low":[27,31],"computational":[28,61],"complexity,":[29],"but":[30],"spatial":[32],"resolution.":[33],"Several":[34],"methods":[35],"have":[36],"been":[37],"developed":[38],"to":[39,83,117],"obtain":[40],"higher":[41,58,65],"resolution,":[42,59],"among":[43],"which":[44,47],"compressive":[45],"beamforming,":[46],"based":[49],"on":[50],"sparse":[51,90],"estimation.":[52],"Although":[53],"this":[54,71],"method":[55],"does":[56],"achieve":[57],"its":[60],"complexity":[62],"significantly":[64],"than":[66],"that":[67],"DAS.":[69],"In":[70,103],"paper":[72],"we":[73,105],"describe":[74,106],"use":[76],"Kronecker":[79],"array":[80],"transform":[81,112],"(KAT)":[82],"accelerate":[84],"DAS":[85],"and":[86,97],"specific":[87],"in":[92],"particular":[93],"matching":[94],"pursuit":[95],"(MP)":[96],"spectral":[99],"projected-gradient":[100],"algorithm":[101],"SPGL1.":[102],"addition,":[104],"how":[107],"nonequispaced":[109],"fast":[110],"Fourier":[111],"(NFFT)":[113],"can":[114],"be":[115],"used":[116],"provide":[118],"further":[119],"acceleration.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"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"}