{"id":"https://openalex.org/W3171311101","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443522","title":"Convolutional Beamspace and Sparse Signal Recovery for Linear Arrays","display_name":"Convolutional Beamspace and Sparse Signal Recovery for Linear Arrays","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3171311101","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443522","mag":"3171311101"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","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/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":true,"raw_author_name":"Po-Chih Chen","raw_affiliation_strings":["Department of Electrical Engineering, 136-93 California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, 136-93 California Institute of Technology, Pasadena, CA, USA","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":["Department of Electrical Engineering, 136-93 California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, 136-93 California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I122411786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059050006"],"corresponding_institution_ids":["https://openalex.org/I122411786"],"apc_list":null,"apc_paid":null,"fwci":0.3042,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58207885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"929","last_page":"933"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","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/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/vandermonde-matrix","display_name":"Vandermonde matrix","score":0.7484742403030396},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.7062638401985168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6515683531761169},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6127129793167114},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5951897501945496},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5571644306182861},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5211053490638733},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5186581015586853},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.49446988105773926},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43787702918052673},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33934149146080017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2492462396621704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24777764081954956},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.12870469689369202},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.07209903001785278}],"concepts":[{"id":"https://openalex.org/C55294529","wikidata":"https://www.wikidata.org/wiki/Q579544","display_name":"Vandermonde matrix","level":3,"score":0.7484742403030396},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.7062638401985168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6515683531761169},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6127129793167114},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5951897501945496},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5571644306182861},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5211053490638733},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5186581015586853},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.49446988105773926},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43787702918052673},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33934149146080017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2492462396621704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24777764081954956},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.12870469689369202},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.07209903001785278},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:authors.library.caltech.edu:109539","is_oa":false,"landing_page_url":"https://resolver.caltech.edu/CaltechAUTHORS:20210622-215812982","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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1481646516","https://openalex.org/W1486770052","https://openalex.org/W1587397703","https://openalex.org/W1766888123","https://openalex.org/W1792261693","https://openalex.org/W1858781016","https://openalex.org/W1985576976","https://openalex.org/W2013122336","https://openalex.org/W2023771239","https://openalex.org/W2072814239","https://openalex.org/W2103519107","https://openalex.org/W2113638573","https://openalex.org/W2118241814","https://openalex.org/W2135046866","https://openalex.org/W2153298779","https://openalex.org/W2294826679","https://openalex.org/W2621353151","https://openalex.org/W2798333393","https://openalex.org/W2905217345","https://openalex.org/W2937842630","https://openalex.org/W3015599495","https://openalex.org/W3083023184","https://openalex.org/W3109938142","https://openalex.org/W6653638725"],"related_works":["https://openalex.org/W2394313973","https://openalex.org/W1258664604","https://openalex.org/W4285223790","https://openalex.org/W2952052090","https://openalex.org/W4293585078","https://openalex.org/W2389636997","https://openalex.org/W2349018871","https://openalex.org/W2135355720","https://openalex.org/W2080915594","https://openalex.org/W2016131521"],"abstract_inverted_index":{"The":[0],"convolutional":[1],"beamspace":[2,33],"(CBS)":[3],"method":[4,112],"for":[5,44,53],"DOA":[6,28],"estimation":[7],"using":[8,99],"dictionary-based":[9],"sparse":[10,73],"signal":[11,74],"recovery":[12],"is":[13,67,102],"introduced.":[14],"Beamspace":[15],"methods":[16],"enjoy":[17],"lower":[18],"computational":[19,89],"complexity,":[20],"increased":[21],"parallelism":[22],"of":[23,94],"subband":[24],"processing,":[25],"and":[26,38,91],"improved":[27],"resolution.":[29],"But":[30],"unlike":[31],"classical":[32],"methods,":[34],"CBS":[35,59,84],"allows":[36],"root-MUSIC":[37],"ESPRIT":[39],"to":[40,62],"be":[41,79,114],"performed":[42],"directly":[43,80],"ULAs":[45,54],"without":[46],"additional":[47],"preparation":[48],"since":[49],"the":[50,58,63,83,106,111],"Vandermonde":[51],"structure":[52],"are":[55,96],"preserved":[56],"in":[57,69,88,110],"output.":[60,85],"Due":[61],"same":[64],"reason,":[65],"it":[66],"shown":[68,104],"this":[70],"paper":[71],"that":[72],"representation":[75],"problems":[76],"can":[77],"also":[78,103],"formulated":[81],"on":[82],"Significant":[86],"reduction":[87],"complexity":[90],"higher":[92],"probability":[93],"resolution":[95],"obtained":[97],"by":[98],"CBS.":[100],"It":[101],"how":[105],"regularization":[107],"parameter":[108],"involved":[109],"should":[113],"chosen":[115],"<sup":[116],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[117],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[118],".":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}