{"id":"https://openalex.org/W1509092880","doi":"https://doi.org/10.1109/icdsp.2015.7251951","title":"Parameter estimation of incoherently distributed source based on block sparse Bayesian learning","display_name":"Parameter estimation of incoherently distributed source based on block sparse Bayesian learning","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1509092880","doi":"https://doi.org/10.1109/icdsp.2015.7251951","mag":"1509092880"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2015.7251951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2015.7251951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","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/A5101055685","display_name":"Xuemin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemin Yang","raw_affiliation_strings":["School of Communication and Information Engineering University of Electronic Science and Technology of China, Chengdu, China","School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China 611731#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China 611731#TAB#","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050053624","display_name":"Guangjun Li","orcid":"https://orcid.org/0000-0003-2054-1771"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjun Li","raw_affiliation_strings":["School of Communication and Information Engineering University of Electronic Science and Technology of China, Chengdu, China","School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China 611731#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China 611731#TAB#","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026672062","display_name":"Zhi Zheng","orcid":"https://orcid.org/0000-0001-5033-1439"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Zheng","raw_affiliation_strings":["School of Communication and Information Engineering University of Electronic Science and Technology of China, Chengdu, China","School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China 611731#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China 611731#TAB#","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102480245","display_name":"Chi Chung Ko","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Chi Chung Ko","raw_affiliation_strings":["School of Communication and Information Engineering University of Electronic Science and Technology of China, Chengdu, China","[Dept. of Electrical and Computer Engineering, National University of Singapore, Singapore.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"[Dept. of Electrical and Computer Engineering, National University of Singapore, Singapore.]","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tat Soon Yeo","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Tat Soon Yeo","raw_affiliation_strings":["School of Communication and Information Engineering University of Electronic Science and Technology of China, Chengdu, China","[Dept. of Electrical and Computer Engineering, National University of Singapore, Singapore.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"[Dept. of Electrical and Computer Engineering, National University of Singapore, Singapore.]","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02323456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"633","last_page":"637"},"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":0.9983000159263611,"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":0.9948999881744385,"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/block","display_name":"Block (permutation group theory)","score":0.6982375979423523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6826759576797485},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6612116098403931},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6408081650733948},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6311550140380859},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.5295162200927734},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.514043927192688},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4873674511909485},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47986501455307007},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.46377959847450256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4426315724849701},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19526973366737366},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07006362080574036}],"concepts":[{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6982375979423523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6826759576797485},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6612116098403931},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6408081650733948},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6311550140380859},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.5295162200927734},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.514043927192688},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4873674511909485},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47986501455307007},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.46377959847450256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4426315724849701},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19526973366737366},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07006362080574036},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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":1,"locations":[{"id":"doi:10.1109/icdsp.2015.7251951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2015.7251951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","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/W1973503417","https://openalex.org/W1974809090","https://openalex.org/W1980874175","https://openalex.org/W1995169872","https://openalex.org/W2004596417","https://openalex.org/W2028823365","https://openalex.org/W2032792000","https://openalex.org/W2033419225","https://openalex.org/W2044242277","https://openalex.org/W2058002405","https://openalex.org/W2088745583","https://openalex.org/W2103519107","https://openalex.org/W2111383085","https://openalex.org/W2128439740","https://openalex.org/W2128658063","https://openalex.org/W2146000945","https://openalex.org/W2150723107","https://openalex.org/W2152279006","https://openalex.org/W2160798840","https://openalex.org/W2162654459","https://openalex.org/W2162876243","https://openalex.org/W2963417911","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2258058088","https://openalex.org/W1826223126","https://openalex.org/W2532156682","https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W2106867672","https://openalex.org/W3081214562","https://openalex.org/W4310268968"],"abstract_inverted_index":{"In":[0,24],"practical":[1],"array":[2],"signal":[3],"processing":[4],"applications,":[5],"the":[6,19,50,60,71,76,94],"performance":[7,101],"of":[8,21,30,55,59,96],"DOA":[9,78],"(direction-of-arrival)":[10],"estimation":[11],"methods":[12],"is":[13,38,79,90,102],"known":[14],"to":[15,92],"degrade":[16],"severely":[17],"in":[18],"presence":[20],"angular":[22,97],"spread.":[23],"this":[25],"paper,":[26],"a":[27,56,64,83],"new":[28,51,88],"approach":[29],"estimating":[31],"parameter":[32],"via":[33],"block":[34],"sparse":[35,57],"Bayesian":[36,84],"learning":[37,85],"proposed":[39],"for":[40],"multiple":[41],"incoherently":[42],"distributed":[43],"sources.":[44],"Unlike":[45],"traditional":[46],"subspace":[47],"based":[48],"methods,":[49],"technique":[52],"makes":[53],"use":[54],"representation":[58],"received":[61],"data":[62],"with":[63],"perturbed":[65],"overcomplete":[66],"dictionary.":[67],"Specifically,":[68],"after":[69],"using":[70,82],"temporal":[72],"correlation":[73],"between":[74],"snapshots,":[75],"central":[77],"estimated":[80],"by":[81],"algorithm.":[86],"The":[87],"method":[89],"able":[91],"mitigate":[93],"influence":[95],"spread,":[98],"and":[99],"its":[100],"demonstrated":[103],"from":[104],"numerical":[105],"simulations.":[106]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
