{"id":"https://openalex.org/W2914991616","doi":"https://doi.org/10.1109/lcomm.2019.2898200","title":"Comment on \u201cBayesian MMSE Estimation of a Gaussian Source in the Presence of Bursty Impulsive Noise\u201d","display_name":"Comment on \u201cBayesian MMSE Estimation of a Gaussian Source in the Presence of Bursty Impulsive Noise\u201d","publication_year":2019,"publication_date":"2019-02-11","ids":{"openalex":"https://openalex.org/W2914991616","doi":"https://doi.org/10.1109/lcomm.2019.2898200","mag":"2914991616"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2019.2898200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2019.2898200","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications 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/A5026166103","display_name":"Berkan D\u00fclek","orcid":"https://orcid.org/0000-0003-2126-7356"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Berkan Dulek","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Hacettepe University, Ankara, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-2126-7356","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Hacettepe University, Ankara, Turkey","institution_ids":["https://openalex.org/I66514158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026166103"],"corresponding_institution_ids":["https://openalex.org/I66514158"],"apc_list":null,"apc_paid":null,"fwci":0.3632,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59625667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"23","issue":"4","first_page":"772","last_page":"772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.9990000128746033,"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":0.9990000128746033,"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":0.993399977684021,"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/T10860","display_name":"Speech and Audio Processing","score":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6579927206039429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6442626714706421},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6271288990974426},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5849444270133972},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5016207695007324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45154333114624023},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.432503879070282},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.43051767349243164},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4220351576805115},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4097698926925659},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35925811529159546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3426351547241211},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28926289081573486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28336215019226074},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2561047375202179},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.20228558778762817},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09879887104034424}],"concepts":[{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6579927206039429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442626714706421},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6271288990974426},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5849444270133972},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5016207695007324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45154333114624023},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.432503879070282},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.43051767349243164},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4220351576805115},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4097698926925659},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35925811529159546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3426351547241211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28926289081573486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28336215019226074},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2561047375202179},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.20228558778762817},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09879887104034424},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/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/lcomm.2019.2898200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2019.2898200","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2884182684"],"related_works":["https://openalex.org/W1911817635","https://openalex.org/W2810224748","https://openalex.org/W1970319972","https://openalex.org/W2353656796","https://openalex.org/W2011915004","https://openalex.org/W2074565401","https://openalex.org/W1967187784","https://openalex.org/W2242778450","https://openalex.org/W2380803194","https://openalex.org/W2186922242"],"abstract_inverted_index":{"In":[0,41,123],"the":[1,15,20,30,42,46,49,60,69,76,80,83,94,106,110,120,129,134,144,152,160,165,170,176],"above-titled":[2],"letter":[3],"by":[4,36],"Alam":[5],"et":[6],"al.":[7],"(see":[8],"ibid.,":[9],"vol.22,":[10],"no.9,":[11],"p.1846-49,":[12],"September":[13],"2018),":[14],"authors":[16],"claimed":[17],"to":[18,59,92,148,164],"derive":[19],"minimum-mean-squared-error":[21],"(MMSE)":[22],"estimator":[23,86,132],"for":[24,133],"a":[25,37,62,140,166],"scalar":[26],"Gaussian":[27],"source":[28,95],"in":[29,116],"presence":[31],"of":[32,48,72,109,118,143,151,169,179],"correlated":[33],"noise,":[34],"modeled":[35],"two-state":[38],"Gauss-Markov":[39],"process.":[40],"proposed":[43],"approach,":[44],"first,":[45],"state":[47,172],"noise":[50,81,153,171],"process":[51],"at":[52,97,155],"time":[53,98,156],"epoch":[54,99,157],"k":[55,158],"is":[56,90,113,137],"determined":[57],"according":[58],"maximum":[61],"posteriori":[63,167],"(MAP)":[64],"decision":[65,78,108],"rule":[66],"based":[67,104,174],"on":[68,79,105,175],"whole":[70,177],"sequence":[71,178],"observations.":[73,180],"Then,":[74],"given":[75],"hard":[77,107],"state,":[82],"corresponding":[84,147],"MMSE":[85,131,145],"(i.e.,":[87],"conditional":[88],"mean)":[89],"employed":[91],"estimate":[93],"signal":[96],"k.":[100],"However,":[101],"performing":[102],"estimation":[103],"MAP":[111],"detector":[112],"not":[114],"optimal":[115,130],"terms":[117],"minimizing":[119],"mean-squared-error":[121],"(MSE).":[122],"this":[124],"comment,":[125],"we":[126],"show":[127],"that":[128],"considered":[135],"problem":[136],"obtained":[138],"as":[139],"weighted":[141],"average":[142],"estimators":[146],"distinct":[149],"states":[150],"probable":[154],"and":[159],"weights":[161],"are":[162],"equal":[163],"probabilities":[168],"computed":[173]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}