{"id":"https://openalex.org/W3049092115","doi":"https://doi.org/10.1109/tsp49548.2020.9163401","title":"Expectation Propagation and Transparent Propagation in Iterative Signal Estimation in the Presence of Impulsive Noise","display_name":"Expectation Propagation and Transparent Propagation in Iterative Signal Estimation in the Presence of Impulsive Noise","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3049092115","doi":"https://doi.org/10.1109/tsp49548.2020.9163401","mag":"3049092115"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp49548.2020.9163401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5023297264","display_name":"Anoush Mirbadin","orcid":"https://orcid.org/0000-0001-6138-7067"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"funder","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Anoush Mirbadin","raw_affiliation_strings":["Department of Engineering and Architecture, University of Parma, Parma, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering and Architecture, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045510416","display_name":"Armando Vannucci","orcid":"https://orcid.org/0000-0002-5939-4134"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"funder","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Armando Vannucci","raw_affiliation_strings":["Department of Engineering and Architecture, University of Parma, Parma, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering and Architecture, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078307012","display_name":"Giulio Colavolpe","orcid":"https://orcid.org/0000-0002-0577-8626"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"funder","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulio Colavolpe","raw_affiliation_strings":["Department of Engineering and Architecture, University of Parma, Parma, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering and Architecture, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.885,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.692946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":73,"max":76},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.9999,"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"}},"topics":[{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.9999,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9992,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9977,"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/factor-graph","display_name":"Factor graph","score":0.77793944},{"id":"https://openalex.org/keywords/expectation-propagation","display_name":"Expectation propagation","score":0.5779909},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief Propagation","score":0.57272553},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian Noise","score":0.48534575}],"concepts":[{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.77793944},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6495697},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.64934087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61742026},{"id":"https://openalex.org/C2779363554","wikidata":"https://www.wikidata.org/wiki/Q5420835","display_name":"Expectation propagation","level":4,"score":0.5779909},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.57272553},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5587312},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5397007},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.5005343},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.48534575},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.463269},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.43063155},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.41255674},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.33122388},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.30061707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.292137},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.23645493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22894359},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13776666},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10809642},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp49548.2020.9163401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":10,"referenced_works":["https://openalex.org/W1530235965","https://openalex.org/W1981066887","https://openalex.org/W2125384173","https://openalex.org/W2163377067","https://openalex.org/W2396499670","https://openalex.org/W2884182684","https://openalex.org/W2904801254","https://openalex.org/W2937088753","https://openalex.org/W2965513232","https://openalex.org/W2982367421"],"related_works":["https://openalex.org/W4301665663","https://openalex.org/W2978729728","https://openalex.org/W2963109230","https://openalex.org/W2903198223","https://openalex.org/W2896991873","https://openalex.org/W2612895134","https://openalex.org/W2129270363","https://openalex.org/W2124250880","https://openalex.org/W2122977448","https://openalex.org/W1981023414"],"abstract_inverted_index":{"Expectation":[0],"Propagation":[1,5],"(EP)":[2],"and":[3,44,59,88,107,114,126],"Transparent":[4],"(TP)":[6],"are":[7,130],"employed":[8],"in":[9,16,39,50,142],"iterative":[10],"estimation":[11,31,148],"of":[12,19,61,82,120,124],"correlated":[13],"Gaussian":[14,83,96,112],"samples":[15,58],"the":[17,54,64,71,80,100,111,147],"presence":[18,81],"bursty":[20],"impulsive":[21,89],"noise,":[22],"modeled":[23],"as":[24,105],"Markov":[25],"Middleton":[26],"class":[27],"A.":[28],"The":[29,122,136],"proposed":[30],"strategy":[32],"is":[33],"based":[34,128],"on":[35],"a":[36,41,45,139],"message-passing":[37],"approach":[38,74],"which":[40],"Kalman":[42],"Smoother":[43],"Bahl-Cocke-Jelinek-Raviv":[46],"(BCJR)":[47],"algorithm":[48],"work":[49],"parallel.":[51],"Due":[52],"to":[53,109,115],"correlation":[55,60],"between":[56],"signal":[57],"channel":[62],"states,":[63,91],"corresponding":[65],"factor":[66],"graph":[67],"includes":[68],"cycles.":[69],"Therefore,":[70],"message":[72],"passing":[73],"should":[75],"be":[76],"implemented":[77],"iteratively.":[78],"Furthermore,":[79],"observations,":[84],"continuous":[85],"random":[86,93],"variables,":[87,94],"noise":[90],"discrete":[92],"produces":[95],"mixtures.":[97],"We":[98],"utilize":[99],"variational":[101],"inference":[102],"techniques":[103],"such":[104],"EP":[106,125],"TP":[108,127],"approximate":[110],"mixtures":[113],"avoid":[116],"exponentially":[117],"increasing":[118],"complexity":[119],"messages.":[121],"performance":[123,143],"estimators":[129],"evaluated":[131],"by":[132,146],"using":[133],"computer":[134],"simulations.":[135],"results":[137],"show":[138],"considerable":[140],"improvement":[141],"brought":[144],"about":[145],"strategy.":[149]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3049092115","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-04-16T17:53:06.597224","created_date":"2020-08-21"}