{"id":"https://openalex.org/W2104009246","doi":"https://doi.org/10.1109/lsp.2010.2043157","title":"Distributed Estimation of Gauss - Markov Random Fields With One-Bit Quantized Data","display_name":"Distributed Estimation of Gauss - Markov Random Fields With One-Bit Quantized Data","publication_year":2010,"publication_date":"2010-02-17","ids":{"openalex":"https://openalex.org/W2104009246","doi":"https://doi.org/10.1109/lsp.2010.2043157","mag":"2104009246"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2010.2043157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2010.2043157","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/A5067626381","display_name":"Jun Fang","orcid":"https://orcid.org/0000-0001-7427-4723"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jun Fang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA#TAB#","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100365817","display_name":"Hongbin Li","orcid":"https://orcid.org/0000-0003-1453-847X"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongbin Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA#TAB#","institution_ids":["https://openalex.org/I108468826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067626381"],"corresponding_institution_ids":["https://openalex.org/I108468826"],"apc_list":null,"apc_paid":null,"fwci":4.2735,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.945798,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"17","issue":"5","first_page":"449","last_page":"452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9990000128746033,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/quantization","display_name":"Quantization (signal processing)","score":0.8205320835113525},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6086883544921875},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5950755476951599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5096280574798584},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4756483733654022},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4389254152774811},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4388432204723358},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.43748998641967773},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.43274030089378357},{"id":"https://openalex.org/keywords/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.4159417450428009},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4102065861225128},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40771886706352234},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19236695766448975}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.8205320835113525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6086883544921875},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5950755476951599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5096280574798584},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4756483733654022},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4389254152774811},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4388432204723358},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.43748998641967773},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.43274030089378357},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.4159417450428009},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4102065861225128},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40771886706352234},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19236695766448975},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2010.2043157","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2010.2043157","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1979854885","https://openalex.org/W1981745143","https://openalex.org/W2114915914","https://openalex.org/W2120166106","https://openalex.org/W2130009812","https://openalex.org/W2131733892","https://openalex.org/W2137505594","https://openalex.org/W2137775453","https://openalex.org/W2149083914","https://openalex.org/W2149976859","https://openalex.org/W2151590071","https://openalex.org/W2154563288","https://openalex.org/W2155723880","https://openalex.org/W2158980899","https://openalex.org/W2159792044","https://openalex.org/W2167484620","https://openalex.org/W3099886613","https://openalex.org/W4252806349"],"related_works":["https://openalex.org/W2096936443","https://openalex.org/W2081863301","https://openalex.org/W2365109233","https://openalex.org/W2075897667","https://openalex.org/W2013302385","https://openalex.org/W3209251257","https://openalex.org/W2167923766","https://openalex.org/W2907746047","https://openalex.org/W3125536267","https://openalex.org/W2274645452"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,21,39,49,78,91],"problem":[3],"of":[4,7,41,102],"distributed":[5],"estimation":[6],"a":[8,13,58,82,99],"Gauss-Markov":[9],"random":[10],"field":[11],"using":[12],"wireless":[14],"sensor":[15,28],"network":[16],"(WSN),":[17],"where":[18],"due":[19],"to":[20,30,65,90],"stringent":[22],"power":[23],"and":[24],"communication":[25],"constraints,":[26],"each":[27],"has":[29],"quantize":[31],"its":[32],"data":[33],"before":[34],"transmission.":[35],"In":[36],"this":[37,54],"case,":[38],"convergence":[40],"conventional":[42],"iterative":[43],"matrix-splitting":[44],"algorithms":[45],"is":[46],"hindered":[47],"by":[48],"quantization":[50,61,67],"errors.":[51,68],"To":[52],"address":[53],"issue,":[55],"we":[56],"propose":[57],"one-bit":[59],"adaptive":[60],"approach":[62,80],"which":[63],"leads":[64],"decaying":[66],"Numerical":[69],"results":[70],"show":[71],"that":[72],"even":[73],"with":[74],"one":[75],"bit":[76],"quantization,":[77],"proposed":[79],"achieves":[81],"superior":[83],"mean":[84],"square":[85],"deviation":[86],"performance":[87],"(with":[88],"respect":[89],"global":[92],"linear":[93],"minimum":[94],"mean-square":[95],"error":[96],"estimate)":[97],"within":[98],"moderate":[100],"number":[101],"iterations.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}