{"id":"https://openalex.org/W3111277482","doi":"https://doi.org/10.1109/tim.2020.3043869","title":"Fast and High-Resolution Acoustic Beamforming: A Convolution Accelerated Deconvolution Implementation","display_name":"Fast and High-Resolution Acoustic Beamforming: A Convolution Accelerated Deconvolution Implementation","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3111277482","doi":"https://doi.org/10.1109/tim.2020.3043869","mag":"3111277482"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2020.3043869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3043869","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5050267843","display_name":"Ning Chu","orcid":"https://orcid.org/0000-0003-1514-873X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ning Chu","raw_affiliation_strings":["Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699154","display_name":"Han Zhao","orcid":"https://orcid.org/0000-0001-6770-5396"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zhao","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101814743","display_name":"Liang Yu","orcid":"https://orcid.org/0009-0007-3922-3454"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Yu","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067337754","display_name":"Qian Huang","orcid":"https://orcid.org/0000-0002-6248-080X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Huang","raw_affiliation_strings":["Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011221771","display_name":"Yue Ning","orcid":"https://orcid.org/0000-0002-5981-2121"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Ning","raw_affiliation_strings":["Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Process Equipment, College of Energy Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050267843"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.8119,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.83181065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9993000030517578,"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/deconvolution","display_name":"Deconvolution","score":0.7829815745353699},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7163763642311096},{"id":"https://openalex.org/keywords/toeplitz-matrix","display_name":"Toeplitz matrix","score":0.711590051651001},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6876656413078308},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48107242584228516},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.473084032535553},{"id":"https://openalex.org/keywords/overlap\u2013add-method","display_name":"Overlap\u2013add method","score":0.45919477939605713},{"id":"https://openalex.org/keywords/circular-convolution","display_name":"Circular convolution","score":0.42134323716163635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4205493927001953},{"id":"https://openalex.org/keywords/convolution-theorem","display_name":"Convolution theorem","score":0.4152190685272217},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.41462430357933044},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40104347467422485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19716203212738037},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.19319286942481995},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.17746227979660034},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.08538585901260376}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.7829815745353699},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7163763642311096},{"id":"https://openalex.org/C147710293","wikidata":"https://www.wikidata.org/wiki/Q849428","display_name":"Toeplitz matrix","level":2,"score":0.711590051651001},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6876656413078308},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48107242584228516},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.473084032535553},{"id":"https://openalex.org/C181002996","wikidata":"https://www.wikidata.org/wiki/Q1611641","display_name":"Overlap\u2013add method","level":5,"score":0.45919477939605713},{"id":"https://openalex.org/C194980680","wikidata":"https://www.wikidata.org/wiki/Q245450","display_name":"Circular convolution","level":5,"score":0.42134323716163635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4205493927001953},{"id":"https://openalex.org/C79587385","wikidata":"https://www.wikidata.org/wiki/Q2638931","display_name":"Convolution theorem","level":5,"score":0.4152190685272217},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41462430357933044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40104347467422485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19716203212738037},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.19319286942481995},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.17746227979660034},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.08538585901260376},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"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/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2020.3043869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3043869","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1813637079","display_name":null,"funder_award_id":"MSV202001","funder_id":"https://openalex.org/F4320327024","funder_display_name":"State Key Laboratory of Mechanical System and Vibration"},{"id":"https://openalex.org/G4916138179","display_name":null,"funder_award_id":"61701440","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7134125143","display_name":null,"funder_award_id":"11704248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327024","display_name":"State Key Laboratory of Mechanical System and Vibration","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W426903330","https://openalex.org/W640294433","https://openalex.org/W1625826133","https://openalex.org/W1932772409","https://openalex.org/W1970571676","https://openalex.org/W1973448320","https://openalex.org/W1979226744","https://openalex.org/W1990381576","https://openalex.org/W2000840732","https://openalex.org/W2005602327","https://openalex.org/W2011235948","https://openalex.org/W2015449586","https://openalex.org/W2020814202","https://openalex.org/W2028659916","https://openalex.org/W2029490719","https://openalex.org/W2030877694","https://openalex.org/W2031604650","https://openalex.org/W2056660988","https://openalex.org/W2057196514","https://openalex.org/W2060108923","https://openalex.org/W2076087797","https://openalex.org/W2079020153","https://openalex.org/W2100556411","https://openalex.org/W2110798624","https://openalex.org/W2119466251","https://openalex.org/W2121194215","https://openalex.org/W2121928309","https://openalex.org/W2124331477","https://openalex.org/W2130949563","https://openalex.org/W2141314576","https://openalex.org/W2145174440","https://openalex.org/W2149846618","https://openalex.org/W2150620469","https://openalex.org/W2155903564","https://openalex.org/W2162388382","https://openalex.org/W2325154660","https://openalex.org/W2330507950","https://openalex.org/W2403232907","https://openalex.org/W2511908615","https://openalex.org/W2516010484","https://openalex.org/W2586914645","https://openalex.org/W2600072234","https://openalex.org/W2655648695","https://openalex.org/W2739058634","https://openalex.org/W2772481461","https://openalex.org/W2889199076","https://openalex.org/W2897665818","https://openalex.org/W2914384479","https://openalex.org/W2969805916","https://openalex.org/W2977451572","https://openalex.org/W3009003694","https://openalex.org/W3037733733","https://openalex.org/W3081135488","https://openalex.org/W6614774630","https://openalex.org/W6664586703","https://openalex.org/W6745808284","https://openalex.org/W7024761944"],"related_works":["https://openalex.org/W4363675452","https://openalex.org/W2267589039","https://openalex.org/W2361284596","https://openalex.org/W4372260258","https://openalex.org/W1483140925","https://openalex.org/W2232752250","https://openalex.org/W2544310281","https://openalex.org/W2133436097","https://openalex.org/W2159795102","https://openalex.org/W3106959200"],"abstract_inverted_index":{"It":[0],"is":[1,68,128,141,169],"valuable":[2],"to":[3,54,182],"improve":[4,195],"the":[5,26,34,37,48,64,81,88,101,120,125,131,147,154,162,166,170,178,196,200],"resolution":[6,61],"and":[7,20,51,85,113,138,157,173,180],"speed":[8,198],"of":[9,25,36,83,90,165],"acoustic":[10,56],"beamforming":[11],"in":[12,33],"real-time":[13],"measurement,":[14],"especially":[15],"fault":[16],"location,":[17],"noise":[18],"mapping,":[19],"so":[21],"on.":[22],"However,":[23],"multiplication":[24],"power":[27,65],"transfer":[28],"matrix":[29,67,84,201],"takes":[30],"much":[31],"time":[32,136,163],"iteration":[35],"deconvolution":[38,122],"algorithm.":[39],"This":[40],"article":[41],"proposes":[42],"a":[43,59,71,184,203],"novel":[44],"method":[45],"based":[46],"on":[47,177,202],"convolution":[49,89,96,102,107,111,117,126,150],"approximation":[50,134],"GPU":[52,181],"platform":[53],"obtain":[55,153],"imaging":[57,156],"with":[58,124],"high":[60],"quickly.":[62],"First,":[63],"propagation":[66],"approximated":[69],"by":[70],"symmetric":[72],"Toeplitz":[73,75],"block":[74],"(STBT)":[76],"matrix,":[77],"which":[78,186],"can":[79,152,193],"transform":[80],"product":[82],"vector":[86],"into":[87],"two":[91],"smaller":[92],"patterns.":[93],"Three":[94],"different":[95],"kernels":[97],"are":[98,175],"derived":[99],"for":[100,199],"operation,":[103],"including":[104],"2-D":[105,109],"variant":[106,167],"kernel,":[108,112],"invariant":[110,116,149],"1-D":[114],"separable":[115,148],"kernel.":[118],"Then,":[119],"regularization":[121],"algorithm":[123],"kernel":[127,151,168],"derived.":[129],"Besides,":[130],"relation":[132],"between":[133],"error,":[135],"cost,":[137],"setting":[139],"parameters":[140],"discussed.":[142],"The":[143],"results":[144],"show":[145],"that":[146,188],"fastest":[155],"relatively":[158],"accurate":[159],"localization,":[160],"while":[161],"consumption":[164],"highest.":[171],"Simulations":[172],"experiments":[174],"operated":[176],"CPU":[179],"make":[183],"comparison,":[185],"validates":[187],"our":[189],"proposed":[190],"deconvolution-GPU":[191],"implementation":[192],"significantly":[194],"computation":[197],"large":[204],"scale.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}