{"id":"https://openalex.org/W2939976446","doi":"https://doi.org/10.1109/icassp.2019.8682177","title":"Function Designable Beamformer Based on Probabilistic Assumptions on Filter and Its Auxiliary Variables","display_name":"Function Designable Beamformer Based on Probabilistic Assumptions on Filter and Its Auxiliary Variables","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2939976446","doi":"https://doi.org/10.1109/icassp.2019.8682177","mag":"2939976446"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5060365760","display_name":"R. Sato","orcid":"https://orcid.org/0000-0001-8914-4905"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryotaro Sato","raw_affiliation_strings":["NTT Media Intelligence Laboratories, NTT Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Media Intelligence Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046170826","display_name":"Kenta Niwa","orcid":"https://orcid.org/0000-0002-6911-0238"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Niwa","raw_affiliation_strings":["NTT Media Intelligence Laboratories, NTT Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Media Intelligence Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054467679","display_name":"Noboru Harada","orcid":"https://orcid.org/0000-0002-1759-4533"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noboru Harada","raw_affiliation_strings":["NTT Media Intelligence Laboratories, NTT Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Media Intelligence Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02267805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"780","last_page":"784"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9988999962806702,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7677047848701477},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6156819462776184},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6103008389472961},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6024538278579712},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5330366492271423},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4901753067970276},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48828673362731934},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4755796492099762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.347181499004364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13356944918632507}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7677047848701477},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6156819462776184},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6103008389472961},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6024538278579712},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5330366492271423},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4901753067970276},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48828673362731934},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4755796492099762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.347181499004364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13356944918632507},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8682177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 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":23,"referenced_works":["https://openalex.org/W1922442141","https://openalex.org/W1982728343","https://openalex.org/W1985090574","https://openalex.org/W1993911116","https://openalex.org/W2065205300","https://openalex.org/W2066218102","https://openalex.org/W2093225945","https://openalex.org/W2107213110","https://openalex.org/W2113168978","https://openalex.org/W2122852420","https://openalex.org/W2127617367","https://openalex.org/W2130361043","https://openalex.org/W2148613904","https://openalex.org/W2156307401","https://openalex.org/W2164278908","https://openalex.org/W2166117654","https://openalex.org/W2288645994","https://openalex.org/W2763188033","https://openalex.org/W2952350176","https://openalex.org/W3121701465","https://openalex.org/W3140535038","https://openalex.org/W4249052411","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2980611886","https://openalex.org/W42295635","https://openalex.org/W1973996291","https://openalex.org/W2943623134","https://openalex.org/W2494523064","https://openalex.org/W2330575325","https://openalex.org/W2215759665","https://openalex.org/W2030292806","https://openalex.org/W2960358116","https://openalex.org/W2349580982"],"abstract_inverted_index":{"We":[0,80,140],"propose":[1,81],"a":[2,82],"novel":[3],"beamformer":[4,22],"design":[5,23,85],"method":[6,83,131,147],"that":[7,88,111,145],"exploits":[8],"probabilistic":[9,36,91],"assumptions":[10,94],"on":[11,61],"auxiliary":[12,109],"variables":[13,110],"derived":[14],"from":[15,152],"filters":[16],"and":[17,58,73,104],"observed":[18],"signals.":[19],"Many":[20],"conventional":[21],"methods":[24,48],"can":[25,118],"be":[26,119],"understood":[27],"in":[28],"the":[29,40,62,66,70,74,78,98,138,150],"context":[30],"of":[31,42,56,69,77,100],"optimization":[32],"problems":[33],"for":[34],"some":[35],"cost":[37,43,86,116],"functions.":[38],"However,":[39],"class":[41],"functions":[44,87,117],"used":[45],"with":[46,124],"these":[47],"is":[49],"quite":[50],"limited":[51],"to":[52,84,126,134],"reflect":[53],"multiple":[54,90,153],"pieces":[55],"information":[57],"our":[59,146],"demands":[60],"filter,":[63],"such":[64],"as":[65,97],"sparsity":[67],"assumption":[68],"source":[71],"signals":[72],"low-latency":[75],"constraint":[76],"filter.":[79],"incorporate":[89],"assumptions.":[92],"The":[93],"are":[95,112],"expressed":[96],"sum":[99],"many":[101],"convex":[102],"terms,":[103],"every":[105],"term":[106,128],"has":[107],"different":[108],"linearly":[113],"constrained.":[114],"Such":[115],"optimized":[120],"by":[121],"iteratively":[122],"optimizing":[123],"regard":[125],"each":[127],"alternately.":[129],"This":[130],"enables":[132],"us":[133],"more":[135],"arbitrarily":[136],"tune":[137],"beamformer.":[139],"conducted":[141],"numerical":[142],"simulations":[143],"showing":[144],"effectively":[148],"improves":[149],"performance":[151],"perspectives.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
