{"id":"https://openalex.org/W2976438863","doi":"https://doi.org/10.1109/isit.2019.8849394","title":"Global Optimality of Encoders and MSE Decoders for Communicating Unstable Markov Processes over Unstable Gaussian Recursive Models with Feedback: A Nonanticipative RDF Approach","display_name":"Global Optimality of Encoders and MSE Decoders for Communicating Unstable Markov Processes over Unstable Gaussian Recursive Models with Feedback: A Nonanticipative RDF Approach","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2976438863","doi":"https://doi.org/10.1109/isit.2019.8849394","mag":"2976438863"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2019.8849394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2019.8849394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-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/A5035087201","display_name":"Charalambos D. Charalambous","orcid":null},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":true,"raw_author_name":"Charalambos D. Charalambous","raw_affiliation_strings":["Department of Electrical Engineering, University of Cyprus, Nicosia, Cyprus"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038774098","display_name":"Christos K. Kourtellaris","orcid":"https://orcid.org/0000-0001-8311-0253"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Christos K. Kourtellaris","raw_affiliation_strings":["Department of Electrical Engineering, University of Cyprus, Nicosia, Cyprus"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035087201"],"corresponding_institution_ids":["https://openalex.org/I34771391"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09072588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3057","last_page":"3061"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9807000160217285,"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/decoding-methods","display_name":"Decoding methods","score":0.6102273464202881},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5977867245674133},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.549655020236969},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5259395241737366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5175173282623291},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4517894387245178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4175841212272644},{"id":"https://openalex.org/keywords/mimo","display_name":"MIMO","score":0.4165509343147278},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.24860119819641113},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11589747667312622},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11012175679206848}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6102273464202881},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5977867245674133},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.549655020236969},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5259395241737366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5175173282623291},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4517894387245178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4175841212272644},{"id":"https://openalex.org/C207987634","wikidata":"https://www.wikidata.org/wiki/Q176862","display_name":"MIMO","level":3,"score":0.4165509343147278},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.24860119819641113},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11589747667312622},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11012175679206848},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2019.8849394","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2019.8849394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1509685104","https://openalex.org/W2036971481","https://openalex.org/W2157875630","https://openalex.org/W2158130000","https://openalex.org/W2175624993","https://openalex.org/W2744011817","https://openalex.org/W2799710179","https://openalex.org/W2888919678","https://openalex.org/W2963078061","https://openalex.org/W2963475956","https://openalex.org/W3175179020"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W2181948922","https://openalex.org/W1974101135","https://openalex.org/W3203142394","https://openalex.org/W2351061015","https://openalex.org/W2384362569","https://openalex.org/W2120275292","https://openalex.org/W2070062388"],"abstract_inverted_index":{"Shannon's":[0],"coding":[1,22,157,163],"capacity":[2],"of":[3,24,30,108,139,145,160,165],"memoryless":[4,113,166],"additive":[5],"Gaussian":[6,32,82,90],"noise":[7],"(AGN)":[8],"channels":[9],"with":[10,94],"noiseless":[11],"feedback,":[12],"is":[13,51,151],"known":[14,52],"to":[15,104,123,129],"be":[16],"achieved":[17],"by":[18],"the":[19,26,61,64,140,146,161],"Elias":[20,65],"[1]":[21],"scheme":[23,164],"communicating":[25,80],"mean":[27],"square-error":[28],"(MSE)":[29],"a":[31,46,155],"RV":[33],"X":[34],"~":[35],"N(0,":[36],"\u03c3'),":[37],"from":[38],"past":[39],"channel":[40],"outputs,":[41],"and":[42,57,67,132],"decoding":[43],"it":[44,50],"using":[45],"MSE":[47],"decoder.":[48],"Further,":[49,122],"that":[53,59,152],"among":[54],"all":[55],"encoders,":[56],"decoders":[58],"minimize":[60],"MSE,":[62],"then":[63],"encoder":[66],"decoder":[68],"are":[69,117],"globally":[70],"optimal.":[71],"In":[72],"this":[73],"paper":[74],"we":[75,127,153],"derive":[76],"analogous":[77],"results,":[78],"for":[79,119],"unstable":[81,86],"Markov":[83],"processes":[84],"over":[85],"multiple-input":[87],"multiple-output":[88],"(MIMO)":[89],"recursive":[91],"models":[92],"(GRM)":[93],"memory,":[95],"often":[96],"called":[97],"infinite":[98],"impulse":[99],"response":[100],"(IIR)":[101],"models,":[102],"subject":[103],"an":[105],"average":[106],"cost":[107],"quadratic":[109],"form.":[110],"However,":[111],"unlike":[112],"AGNs,":[114],"certain":[115],"conditions":[116],"required,":[118],"such":[120],"generalizations.":[121],"show":[124],"global":[125],"optimality,":[126],"need":[128,154],"invoke":[130],"Gorbunov":[131],"Pinsker":[133],"[2]":[134],"nonanticipatory":[135],"\u20ac":[136],"entropy,":[137],"instead":[138,159],"classical":[141],"rate":[142],"distortion":[143],"function":[144],"source.":[147],"Another":[148],"important":[149],"observation":[150],"two-parameter":[156],"scheme,":[158],"one-parameter":[162],"AGN":[167],"channels.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}