{"id":"https://openalex.org/W1968110092","doi":"https://doi.org/10.1109/globalsip.2014.7032167","title":"Distributed approximate message passing for sparse signal recovery","display_name":"Distributed approximate message passing for sparse signal recovery","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1968110092","doi":"https://doi.org/10.1109/globalsip.2014.7032167","mag":"1968110092"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2014.7032167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5020680248","display_name":"Puxiao Han","orcid":null},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Puxiao Han","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond VA, U.S.A","Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA 23284, U.S.A"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond VA, U.S.A","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA 23284, U.S.A","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003828818","display_name":"Ruixin Niu","orcid":"https://orcid.org/0000-0003-2511-9174"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruixin Niu","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond VA, U.S.A","Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA 23284, U.S.A"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond VA, U.S.A","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA 23284, U.S.A","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018836261","display_name":"Mengqi Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengqi Ren","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond VA, U.S.A","Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA 23284, U.S.A"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond VA, U.S.A","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA 23284, U.S.A","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005913897","display_name":"Yonina C. Eldar","orcid":"https://orcid.org/0000-0003-4358-5304"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yonina C. Eldar","raw_affiliation_strings":["Dept. of Electrical Engineering, Technion- Israel Institute of Technology, Haifa, Israel","Dept. of Electrical Engineering Technion - Israel Institute of Technology, Haifa 32000, Israel#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Technion- Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Dept. of Electrical Engineering Technion - Israel Institute of Technology, Haifa 32000, Israel#TAB#","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020680248"],"corresponding_institution_ids":["https://openalex.org/I184840846"],"apc_list":null,"apc_paid":null,"fwci":3.4692,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.91404451,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"497","last_page":"501"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9979000091552734,"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/computation","display_name":"Computation","score":0.762321949005127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7316058874130249},{"id":"https://openalex.org/keywords/damp","display_name":"Damp","score":0.7238380312919617},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.5688015222549438},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5595356822013855},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5501700639724731},{"id":"https://openalex.org/keywords/signal-recovery","display_name":"Signal recovery","score":0.5381736159324646},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5057804584503174},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.49538886547088623},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48796743154525757},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4789327085018158},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3339759111404419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10856521129608154}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.762321949005127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7316058874130249},{"id":"https://openalex.org/C2777482401","wikidata":"https://www.wikidata.org/wiki/Q469057","display_name":"Damp","level":2,"score":0.7238380312919617},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.5688015222549438},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5595356822013855},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5501700639724731},{"id":"https://openalex.org/C2989281035","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Signal recovery","level":3,"score":0.5381736159324646},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5057804584503174},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.49538886547088623},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48796743154525757},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4789327085018158},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3339759111404419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10856521129608154},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2014.7032167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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":15,"referenced_works":["https://openalex.org/W1969251723","https://openalex.org/W2006602349","https://openalex.org/W2034805741","https://openalex.org/W2044762091","https://openalex.org/W2053745833","https://openalex.org/W2082029531","https://openalex.org/W2116400826","https://openalex.org/W2125671668","https://openalex.org/W2132793452","https://openalex.org/W2134206624","https://openalex.org/W2164595191","https://openalex.org/W2406396854","https://openalex.org/W2610971674","https://openalex.org/W3098848552","https://openalex.org/W6713415972"],"related_works":["https://openalex.org/W4313361267","https://openalex.org/W2011499330","https://openalex.org/W2078389543","https://openalex.org/W1877508920","https://openalex.org/W2788847598","https://openalex.org/W4300103620","https://openalex.org/W1957438774","https://openalex.org/W2370217726","https://openalex.org/W2406396854","https://openalex.org/W1968110092"],"abstract_inverted_index":{"In":[0,31],"this":[1],"paper,":[2],"an":[3],"efficient":[4],"distributed":[5,12,35,127],"approximate":[6],"message":[7],"passing":[8],"(AMP)":[9],"algorithm,":[10,71,129],"named":[11],"AMP":[13,76,95],"(DAMP),":[14],"is":[15,59,78,103,130],"developed":[16],"for":[17,56,75],"compressed":[18],"sensing":[19,47],"(CS)":[20],"signal":[21],"recovery":[22,90,140],"in":[23,105],"sensor":[24,58],"networks":[25],"with":[26],"the":[27,32,44,50,65,88,93,100,108,114,117,138,143,150,155,162],"sparsity":[28],"K":[29],"unknown.":[30],"proposed":[33,81],"DAMP,":[34,159],"sensors":[36],"do":[37],"not":[38],"have":[39],"to":[40,137],"use":[41],"or":[42],"know":[43],"entire":[45],"global":[46,73],"matrix,":[48],"and":[49,54,160],"burden":[51],"of":[52,99,107,119],"computation":[53,74],"storage":[55],"each":[57],"reduced.":[60],"To":[61],"reduce":[62],"communications":[63],"among":[64],"sensors,":[66],"a":[67,124],"new":[68],"data":[69],"query":[70],"called":[72],"(GCAMP),":[77],"proposed.":[79],"The":[80,97],"GCAMP":[82,151],"based":[83,152,158],"DAMP":[84,101,153],"approach":[85,102],"has":[86],"exactly":[87],"same":[89,139],"solution":[91,141],"as":[92,142],"centralized":[94,144],"algorithm.":[96],"performance":[98],"evaluated":[104],"terms":[106],"communication":[109,163],"cost":[110,164],"saved":[111],"by":[112],"using":[113],"GCAMP.":[115],"For":[116],"purpose":[118],"comparison,":[120],"thresholding":[121],"algorithm":[122],"(TA),":[123],"well":[125],"known":[126],"Top-K":[128],"modified":[131],"so":[132],"that":[133,149],"it":[134],"also":[135],"leads":[136],"AMP.":[145],"Numerical":[146],"results":[147],"demonstrate":[148],"outperforms":[154],"Modified":[156],"TA":[157],"reduces":[161],"significantly.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
