{"id":"https://openalex.org/W4225281825","doi":"https://doi.org/10.1109/icassp43922.2022.9746961","title":"Convolutional Beamspace Using IIR Filters","display_name":"Convolutional Beamspace Using IIR Filters","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225281825","doi":"https://doi.org/10.1109/icassp43922.2022.9746961"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746961","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 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/A5059050006","display_name":"Po\u2010Chih Chen","orcid":"https://orcid.org/0000-0003-1637-9329"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Po-Chih Chen","raw_affiliation_strings":["MC 136-93 California Institute of Technology,Dept. of Electrical Engineering,Pasadena,CA,USA,91125"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MC 136-93 California Institute of Technology,Dept. of Electrical Engineering,Pasadena,CA,USA,91125","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049466863","display_name":"P. P. Vaidyanathan","orcid":"https://orcid.org/0000-0003-3003-7042"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. P. Vaidyanathan","raw_affiliation_strings":["MC 136-93 California Institute of Technology,Dept. of Electrical Engineering,Pasadena,CA,USA,91125"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MC 136-93 California Institute of Technology,Dept. of Electrical Engineering,Pasadena,CA,USA,91125","institution_ids":["https://openalex.org/I122411786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I122411786"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5003","last_page":"5007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11946","display_name":"Antenna Design and Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11946","display_name":"Antenna Design and Optimization","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.9991999864578247,"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":0.998199999332428,"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/infinite-impulse-response","display_name":"Infinite impulse response","score":0.8955124616622925},{"id":"https://openalex.org/keywords/2d-filters","display_name":"2D Filters","score":0.8044501543045044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6286786198616028},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5889717936515808},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.5712897181510925},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5438904762268066},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.426962673664093},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3438906669616699},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.2922537326812744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08483177423477173}],"concepts":[{"id":"https://openalex.org/C183816354","wikidata":"https://www.wikidata.org/wiki/Q665617","display_name":"Infinite impulse response","level":4,"score":0.8955124616622925},{"id":"https://openalex.org/C100106864","wikidata":"https://www.wikidata.org/wiki/Q16001029","display_name":"2D Filters","level":5,"score":0.8044501543045044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6286786198616028},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5889717936515808},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.5712897181510925},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5438904762268066},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.426962673664093},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3438906669616699},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.2922537326812744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08483177423477173},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746961","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:authors.library.caltech.edu:115254","is_oa":false,"landing_page_url":"https://authors.library.caltech.edu/115254/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402161","display_name":"CaltechAUTHORS (California Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122411786","host_organization_name":"California Institute of Technology","host_organization_lineage":["https://openalex.org/I122411786"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1481646516","https://openalex.org/W1486770052","https://openalex.org/W1526867613","https://openalex.org/W1792261693","https://openalex.org/W1831233010","https://openalex.org/W1858781016","https://openalex.org/W2013122336","https://openalex.org/W2016999686","https://openalex.org/W2023771239","https://openalex.org/W2072814239","https://openalex.org/W2100903692","https://openalex.org/W2107145257","https://openalex.org/W2111468049","https://openalex.org/W2132011630","https://openalex.org/W2156677329","https://openalex.org/W2161386327","https://openalex.org/W2168133367","https://openalex.org/W2294826679","https://openalex.org/W2621353151","https://openalex.org/W2937842630","https://openalex.org/W2963933750","https://openalex.org/W3015599495","https://openalex.org/W3083023184","https://openalex.org/W3109938142","https://openalex.org/W3163946888","https://openalex.org/W3171311101"],"related_works":["https://openalex.org/W4312785053","https://openalex.org/W3140661709","https://openalex.org/W605224089","https://openalex.org/W1587252745","https://openalex.org/W2021631062","https://openalex.org/W2142009384","https://openalex.org/W2031892245","https://openalex.org/W2143511555","https://openalex.org/W1538238752","https://openalex.org/W2106688925"],"abstract_inverted_index":{"The":[0,112],"recently":[1],"introduced":[2],"convolutional":[3,31],"beamspace":[4,12],"(CBS)":[5],"method":[6],"has":[7],"some":[8],"advantages":[9,113],"over":[10],"traditional":[11],"methods":[13],"in":[14,29,38],"array":[15],"processing.":[16],"This":[17],"paper":[18],"introduces":[19],"a":[20,60],"variant":[21],"which":[22,106],"uses":[23],"IIR":[24,56],"instead":[25],"of":[26,68,76,114],"FIR":[27,97],"filters":[28],"the":[30,35,39,52,65,73,95],"layer.":[32],"In":[33],"CBS,":[34],"sources":[36],"falling":[37],"stopband":[40],"are":[41,116],"assumed":[42],"to":[43,108],"be":[44,79],"sufficiently":[45],"attenuated":[46],"so":[47],"that":[48],"we":[49],"can":[50,78,85],"identify":[51],"pass-band":[53],"DOAs.":[54],"An":[55],"filter":[57,98,103],"often":[58],"requires":[59],"much":[61],"lower":[62],"order":[63],"for":[64],"same":[66],"set":[67],"magnitude":[69],"response":[70],"specifications.":[71],"Hence,":[72],"computational":[74],"complexity":[75],"IIR-CBS":[77,84,115],"smaller":[80,88],"than":[81,92],"FIR-CBS.":[82],"Moreover,":[83],"even":[86],"give":[87],"DOA":[89],"estimation":[90,110],"errors":[91],"FIR-CBS":[93],"because":[94],"longer":[96],"length":[99],"means":[100],"shorter":[101],"steady-state":[102],"output":[104],"length,":[105],"leads":[107],"larger":[109],"errors.":[111],"verified":[117],"by":[118],"numerical":[119],"examples.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}