{"id":"https://openalex.org/W2047928623","doi":"https://doi.org/10.1109/tsp.2013.2288684","title":"Distributed Estimation of a Parametric Field: Algorithms and Performance Analysis","display_name":"Distributed Estimation of a Parametric Field: Algorithms and Performance Analysis","publication_year":2014,"publication_date":"2014-02-05","ids":{"openalex":"https://openalex.org/W2047928623","doi":"https://doi.org/10.1109/tsp.2013.2288684","mag":"2047928623"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2013.2288684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2013.2288684","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1310.7324","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083349347","display_name":"Salvatore Talarico","orcid":null},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Salvatore Talarico","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA","Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA","institution_ids":["https://openalex.org/I12097938"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011441017","display_name":"Natalia A. Schmid","orcid":"https://orcid.org/0000-0003-0531-7157"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Natalia A. Schmid","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA","Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA","institution_ids":["https://openalex.org/I12097938"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009857566","display_name":"Marwan Alkhweldi","orcid":null},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marwan Alkhweldi","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA","Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA","institution_ids":["https://openalex.org/I12097938"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088532122","display_name":"Matthew C. Valenti","orcid":"https://orcid.org/0000-0001-6089-0509"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew C. Valenti","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA","Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA","institution_ids":["https://openalex.org/I12097938"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA","institution_ids":["https://openalex.org/I12097938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12097938"],"apc_list":null,"apc_paid":null,"fwci":3.4827,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.93222586,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"62","issue":"5","first_page":"1041","last_page":"1053"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9805999994277954,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.7911758422851562},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6807641983032227},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6329180598258972},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5263743996620178},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5076791048049927},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.5076495409011841},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5016317367553711},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.4738198518753052},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4548332393169403},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.45222312211990356},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.45132532715797424},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.45090216398239136},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4335027039051056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3941802382469177},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.37179794907569885},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.3567444682121277},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2755550146102905},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10577094554901123},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0821901261806488}],"concepts":[{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.7911758422851562},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6807641983032227},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6329180598258972},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5263743996620178},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5076791048049927},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.5076495409011841},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5016317367553711},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.4738198518753052},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4548332393169403},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.45222312211990356},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.45132532715797424},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.45090216398239136},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4335027039051056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3941802382469177},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.37179794907569885},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.3567444682121277},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2755550146102905},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10577094554901123},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0821901261806488},{"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/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"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/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2013.2288684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2013.2288684","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1310.7324","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1310.7324","pdf_url":"https://arxiv.org/pdf/1310.7324","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.739.9059","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.739.9059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1310.7324.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1310.7324","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1310.7324","pdf_url":"https://arxiv.org/pdf/1310.7324","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W67237221","https://openalex.org/W104921091","https://openalex.org/W623905320","https://openalex.org/W1492251543","https://openalex.org/W1510331559","https://openalex.org/W1536252645","https://openalex.org/W1586180564","https://openalex.org/W1938035284","https://openalex.org/W1977862970","https://openalex.org/W2010069926","https://openalex.org/W2030484612","https://openalex.org/W2042545035","https://openalex.org/W2043037641","https://openalex.org/W2049633694","https://openalex.org/W2054937228","https://openalex.org/W2081283602","https://openalex.org/W2090767179","https://openalex.org/W2097032753","https://openalex.org/W2099705786","https://openalex.org/W2100871607","https://openalex.org/W2103224864","https://openalex.org/W2104130465","https://openalex.org/W2110357973","https://openalex.org/W2113854435","https://openalex.org/W2114582522","https://openalex.org/W2116689746","https://openalex.org/W2121340892","https://openalex.org/W2123811769","https://openalex.org/W2124178852","https://openalex.org/W2125969840","https://openalex.org/W2126076156","https://openalex.org/W2130828767","https://openalex.org/W2135828836","https://openalex.org/W2138287194","https://openalex.org/W2139308875","https://openalex.org/W2148951351","https://openalex.org/W2152655178","https://openalex.org/W2154828437","https://openalex.org/W2157985652","https://openalex.org/W2158064355","https://openalex.org/W2158307424","https://openalex.org/W2163599171","https://openalex.org/W2168452204","https://openalex.org/W2171717581","https://openalex.org/W2172208159","https://openalex.org/W2293895826","https://openalex.org/W2313299119","https://openalex.org/W2500228660","https://openalex.org/W2531020895","https://openalex.org/W2536247914","https://openalex.org/W2539438525","https://openalex.org/W2801179766","https://openalex.org/W2963235043","https://openalex.org/W2970760985","https://openalex.org/W3133603318","https://openalex.org/W3145246586","https://openalex.org/W4256330275","https://openalex.org/W4285719527","https://openalex.org/W4300223101","https://openalex.org/W6604315751","https://openalex.org/W6680577056","https://openalex.org/W6729437843"],"related_works":["https://openalex.org/W3111419928","https://openalex.org/W2585557503","https://openalex.org/W2140704150","https://openalex.org/W1974392290","https://openalex.org/W2169354510","https://openalex.org/W3103566292","https://openalex.org/W1607924090","https://openalex.org/W1967296369","https://openalex.org/W4389474210","https://openalex.org/W1971427935"],"abstract_inverted_index":{"This":[0],"paper":[1,41,111],"presents":[2],"a":[3,7,14,20,63,75,97,123,148,164,168],"distributed":[4,34,173],"estimator":[5,174],"for":[6,24,132,160],"deterministic":[8],"parametric":[9,124,187],"physical":[10],"field":[11,165],"sensed":[12],"by":[13],"homogeneous":[15],"sensor":[16,83],"network":[17,208],"and":[18,49,90,126,175,181,209,215],"develops":[19,112],"new":[21],"transformed":[22],"expression":[23],"the":[25,31,47,79,91,138,145,161,172,176,192,197,202,207,210,213,223,228],"Cramer-Rao":[26],"lower":[27],"bound":[28],"(CRLB)":[29],"on":[30,153,196],"variance":[32,221],"of":[33,54,67,122,137,147,163,191,199,204,212,222],"estimates.":[35],"Stochastic":[36],"models":[37],"used":[38],"in":[39,45,206],"this":[40],"assume":[42],"additive":[43,104],"noise":[44],"both":[46,101],"observation":[48,86,214],"transmission":[50,56,73,216],"channels.":[51],"Two":[52],"cases":[53],"data":[55,93],"are":[57,94,108,158,179,218],"considered.":[58],"The":[59,110,135,189,220],"first":[60],"case":[61,162],"assumes":[62],"linear":[64],"analog":[65],"modulation":[66],"raw":[68],"observations":[69],"prior":[70],"to":[71,74,87,96,118,144,185,227],"their":[72],"fusion":[76,98],"center.":[77,99],"In":[78,100],"second":[80],"case,":[81],"each":[82],"quantizes":[84],"its":[85,127],"M":[88],"levels,":[89,201],"quantized":[92],"communicated":[95],"cases,":[102],"parallel":[103],"white":[105],"Gaussian":[106,169],"channels":[107,217],"assumed.":[109],"an":[113],"iterative":[114,150],"expectation-maximization":[115],"(EM)":[116],"algorithm":[117],"estimate":[119],"unknown":[120],"parameters":[121],"field,":[125],"linearized":[128],"version":[129],"is":[130,142,225],"adopted":[131],"numerical":[133,140],"analysis.":[134],"performance":[136,146],"developed":[139],"solution":[141],"compared":[143,226],"simple":[149],"approach":[151],"based":[152],"Newton's":[154],"approximation.":[155],"Numerical":[156],"examples":[157],"provided":[159],"modeled":[166],"as":[167],"bell.":[170],"However,":[171],"derived":[177,229],"CRLB":[178],"general":[180],"can":[182],"be":[183],"applied":[184],"any":[186],"field.":[188],"dependence":[190],"mean-square":[193],"error":[194],"(MSE)":[195],"number":[198,203],"quantization":[200],"sensors":[205],"SNR":[211],"analyzed.":[219],"estimates":[224],"CRLB.":[230]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}