{"id":"https://openalex.org/W2018345485","doi":"https://doi.org/10.1109/ssp.2012.6319686","title":"Maximum-entropy surrogation in network signal detection","display_name":"Maximum-entropy surrogation in network signal detection","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2018345485","doi":"https://doi.org/10.1109/ssp.2012.6319686","mag":"2018345485"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2012.6319686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1202.6420","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"D. Cochran","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"D. Cochran","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":null,"display_name":"S. D. Howard","orcid":null},"institutions":[{"id":"https://openalex.org/I1303474014","display_name":"Defence Science and Technology Group","ror":"https://ror.org/05ddrvt52","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1303474014","https://openalex.org/I2801453606","https://openalex.org/I3139952251"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"S. D. Howard","raw_affiliation_strings":["Defence Science and Technology Organisation, Edinburgh, SA, Australia"],"affiliations":[{"raw_affiliation_string":"Defence Science and Technology Organisation, Edinburgh, SA, Australia","institution_ids":["https://openalex.org/I1303474014"]}]},{"author_position":"middle","author":{"id":null,"display_name":"B. Moran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B. Moran","raw_affiliation_strings":["Defence Science Institute, Parkville, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Defence Science Institute, Parkville, VIC, Australia","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"H. A. Schmitt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. A. Schmitt","raw_affiliation_strings":["Physical Layer Systems LLC, Tucson, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Physical Layer Systems LLC, Tucson, AZ, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.376,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63533523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"300"},"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":0.989300012588501,"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":0.989300012588501,"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":0.9800000190734863,"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/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.670199990272522},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5972999930381775},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4526999890804291},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.44200000166893005},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.42730000615119934},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4129999876022339},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.396699994802475},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.3431999981403351}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.670199990272522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5989000201225281},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5972999930381775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5044999718666077},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4526999890804291},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.44200000166893005},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.42730000615119934},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4129999876022339},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.396699994802475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38749998807907104},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3431999981403351},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3345000147819519},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3057999908924103},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.30090001225471497},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2985999882221222},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.26660001277923584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26460000872612},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.251800000667572}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssp.2012.6319686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1202.6420","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1202.6420","pdf_url":"https://arxiv.org/pdf/1202.6420","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1202.6420","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1202.6420","pdf_url":"https://arxiv.org/pdf/1202.6420","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1482512045","https://openalex.org/W1863655787","https://openalex.org/W2018490621","https://openalex.org/W2024318675","https://openalex.org/W2101478599","https://openalex.org/W2124342766","https://openalex.org/W2148654194","https://openalex.org/W2159582847","https://openalex.org/W2162597798","https://openalex.org/W4250589301","https://openalex.org/W6636595499"],"related_works":[],"abstract_inverted_index":{"Multiple-channel":[0],"detection":[1],"is":[2,67,113],"considered":[3],"in":[4,24,49,92,103,109],"the":[5,25,50,93,105],"context":[6],"of":[7,47,84,100,107],"a":[8,21,71],"sensor":[9,110],"network":[10,26,51,94,111],"where":[11],"raw":[12],"data":[13],"are":[14,53,62],"shared":[15],"only":[16,57],"by":[17],"nodes":[18,85],"that":[19,69,86],"have":[20],"common":[22],"edge":[23,91],"graph.":[27,95],"Established":[28],"multiple-channel":[29],"detectors,":[30],"such":[31],"as":[32],"those":[33],"based":[34],"on":[35],"generalized":[36],"coherence":[37],"or":[38],"multiple":[39],"coherence,":[40],"use":[41],"pairwise":[42],"measurements":[43,80],"from":[44],"every":[45],"pair":[46],"sensors":[48],"and":[52],"thus":[54],"directly":[55],"applicable":[56],"to":[58,74,82],"networks":[59],"whose":[60],"graphs":[61],"completely":[63],"connected.":[64],"An":[65],"approach":[66],"introduced":[68],"uses":[70],"maximum-entropy":[72,101],"technique":[73],"formulate":[75],"surrogate":[76],"values":[77],"for":[78],"missing":[79],"corresponding":[81],"pairs":[83],"do":[87],"not":[88],"share":[89],"an":[90],"The":[96],"broader":[97],"potential":[98],"merit":[99],"baselines":[102],"quantifying":[104],"value":[106],"information":[108],"applications":[112],"also":[114],"noted.":[115]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}
