{"id":"https://openalex.org/W4400643759","doi":"https://doi.org/10.1109/lsp.2024.3427705","title":"Room Impulse Response Reconstruction Using Pattern-Coupled Sparse Bayesian Learning With Spherical Waves","display_name":"Room Impulse Response Reconstruction Using Pattern-Coupled Sparse Bayesian Learning With Spherical Waves","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400643759","doi":"https://doi.org/10.1109/lsp.2024.3427705"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3427705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3427705","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5019729693","display_name":"Xuelei Feng","orcid":"https://orcid.org/0000-0001-9776-6640"},"institutions":[{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelei Feng","raw_affiliation_strings":["Key Laboratory of Modern Acoustics (Ministry of Education) and Institute of Acoustics, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9776-6640","affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Acoustics (Ministry of Education) and Institute of Acoustics, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050424180","display_name":"Jiazheng Cheng","orcid":"https://orcid.org/0000-0002-4972-2528"},"institutions":[{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiazheng Cheng","raw_affiliation_strings":["Key Laboratory of Modern Acoustics (Ministry of Education) and Institute of Acoustics, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4972-2528","affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Acoustics (Ministry of Education) and Institute of Acoustics, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033921227","display_name":"Simiao Chen","orcid":"https://orcid.org/0000-0003-4476-8946"},"institutions":[{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Simiao Chen","raw_affiliation_strings":["Key Laboratory of Modern Acoustics (Ministry of Education) and Institute of Acoustics, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Acoustics (Ministry of Education) and Institute of Acoustics, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076417229","display_name":"Yong Shen","orcid":"https://orcid.org/0000-0002-2743-9406"},"institutions":[{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Shen","raw_affiliation_strings":["Key Laboratory of Modern Acoustics (Ministry of Education) and Institute of Acoustics, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2743-9406","affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Acoustics (Ministry of Education) and Institute of Acoustics, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6109,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72710598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"31","issue":null,"first_page":"1925","last_page":"1929"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9695000052452087,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9502000212669373,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/impulse-response","display_name":"Impulse response","score":0.6000201106071472},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5444939136505127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5119165182113647},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.4342951774597168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3778479993343353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36234188079833984},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3252500891685486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2523127794265747},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08085975050926208}],"concepts":[{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.6000201106071472},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5444939136505127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5119165182113647},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.4342951774597168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3778479993343353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36234188079833984},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3252500891685486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2523127794265747},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08085975050926208},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3427705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3427705","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4262630696","display_name":null,"funder_award_id":"12374446","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1595820098","https://openalex.org/W2066853009","https://openalex.org/W2071282831","https://openalex.org/W2111730426","https://openalex.org/W2144732021","https://openalex.org/W2594943081","https://openalex.org/W2613613487","https://openalex.org/W2738467312","https://openalex.org/W2811000178","https://openalex.org/W2897613819","https://openalex.org/W3015588485","https://openalex.org/W3127853565","https://openalex.org/W3135312673","https://openalex.org/W3208418688","https://openalex.org/W4210447204","https://openalex.org/W4223461111","https://openalex.org/W4231225162","https://openalex.org/W4292969959","https://openalex.org/W4307687796","https://openalex.org/W4313645571","https://openalex.org/W4319080043","https://openalex.org/W4386078143","https://openalex.org/W4387882892","https://openalex.org/W4388222844","https://openalex.org/W4391028531","https://openalex.org/W4391734092","https://openalex.org/W4391954238","https://openalex.org/W4392931592","https://openalex.org/W4396783523","https://openalex.org/W6755447188","https://openalex.org/W6903424732"],"related_works":["https://openalex.org/W1539575243","https://openalex.org/W2379773606","https://openalex.org/W4210969128","https://openalex.org/W2281416914","https://openalex.org/W1987553284","https://openalex.org/W2119597290","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2272518678","https://openalex.org/W2140267235"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,46,51,63,75],"pattern-coupled":[4,64],"structured":[5],"sparse":[6],"Bayesian":[7,32],"learning":[8],"method":[9,61],"for":[10,27,78],"reconstructing":[11],"room":[12],"impulse":[13],"responses":[14],"(RIRs)":[15],"in":[16,68],"the":[17,22,38,59,79,97,100],"time":[18],"domain.":[19],"It":[20],"exploits":[21],"temporal":[23,72],"properties":[24],"of":[25,99],"RIRs":[26],"improved":[28],"reconstruction":[29],"performance.":[30],"Existing":[31],"methods":[33],"with":[34,93],"time-dependent":[35],"regularization":[36],"exploit":[37],"physical":[39],"knowledge":[40],"that":[41],"an":[42],"RIR":[43],"transitions":[44],"from":[45],"highly-sparse":[47],"early":[48],"part":[49],"to":[50],"non-sparse":[52],"later":[53],"part.":[54],"Building":[55],"on":[56],"this":[57],"foundation,":[58],"proposed":[60,101],"utilizes":[62],"hierarchical":[65],"Gaussian":[66],"prior":[67],"both":[69],"spatial":[70,80],"and":[71],"dimensions,":[73],"employing":[74],"triangular":[76],"mesh":[77],"dimension.":[81],"The":[82],"inverse":[83],"problem":[84],"is":[85],"solved":[86],"via":[87],"stochastic":[88],"variational":[89],"inference.":[90],"Performance":[91],"assessments":[92],"experimental":[94],"measurements":[95],"illustrate":[96],"effectiveness":[98],"method.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}