{"id":"https://openalex.org/W2554630205","doi":"https://doi.org/10.1109/allerton.2012.6483473","title":"Real-time coding of Gauss-Markov sources over burst erasure channels","display_name":"Real-time coding of Gauss-Markov sources over burst erasure channels","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2554630205","doi":"https://doi.org/10.1109/allerton.2012.6483473","mag":"2554630205"},"language":"en","primary_location":{"id":"doi:10.1109/allerton.2012.6483473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2012.6483473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5052202007","display_name":"Farrokh Etezadi","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Farrokh Etezadi","raw_affiliation_strings":["University of Toronto, Toronto, ONT, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046253142","display_name":"Ashish Khisti","orcid":"https://orcid.org/0000-0002-2331-8965"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ashish Khisti","raw_affiliation_strings":["University of Toronto, Toronto, ONT, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2037","last_page":"2044"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9998999834060669,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.989300012588501,"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/erasure","display_name":"Erasure","score":0.7972209453582764},{"id":"https://openalex.org/keywords/binary-erasure-channel","display_name":"Binary erasure channel","score":0.6920065879821777},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6165528297424316},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5787423253059387},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5583631992340088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5480586886405945},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4932038187980652},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.4616270363330841},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.46074166893959045},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4462234675884247},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.44146090745925903},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.36413389444351196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34468403458595276},{"id":"https://openalex.org/keywords/channel-capacity","display_name":"Channel capacity","score":0.2142324149608612},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15484023094177246},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14653632044792175},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13124549388885498},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09245166182518005}],"concepts":[{"id":"https://openalex.org/C2778790127","wikidata":"https://www.wikidata.org/wiki/Q484885","display_name":"Erasure","level":2,"score":0.7972209453582764},{"id":"https://openalex.org/C149862233","wikidata":"https://www.wikidata.org/wiki/Q864142","display_name":"Binary erasure channel","level":4,"score":0.6920065879821777},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6165528297424316},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5787423253059387},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5583631992340088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5480586886405945},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4932038187980652},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.4616270363330841},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.46074166893959045},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4462234675884247},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.44146090745925903},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.36413389444351196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34468403458595276},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.2142324149608612},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15484023094177246},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14653632044792175},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13124549388885498},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09245166182518005},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/allerton.2012.6483473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/allerton.2012.6483473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.713.9313","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.713.9313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.comm.utoronto.ca/%7Eakhisti/Etezadi-Gauss.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1604010951","https://openalex.org/W1608472120","https://openalex.org/W1990992471","https://openalex.org/W2044655549","https://openalex.org/W2059043689","https://openalex.org/W2099242767","https://openalex.org/W2103422876","https://openalex.org/W2122985041","https://openalex.org/W2150412388","https://openalex.org/W2164162127","https://openalex.org/W2164940804","https://openalex.org/W2168883560","https://openalex.org/W2949448828"],"related_works":["https://openalex.org/W2372190485","https://openalex.org/W2139769859","https://openalex.org/W2583282232","https://openalex.org/W2140357074","https://openalex.org/W2002203372","https://openalex.org/W2113562070","https://openalex.org/W2810502498","https://openalex.org/W2743670993","https://openalex.org/W2028268383","https://openalex.org/W2809708642"],"abstract_inverted_index":{"We":[0,78,100],"study":[1,79],"real-time":[2],"coding":[3,128],"of":[4,17],"Gauss-Markov":[5,31],"sources":[6],"over":[7,133],"burst-erasure":[8],"channels.":[9],"A":[10],"time-invariant":[11],"encoder":[12,86],"sequentially":[13],"compresses":[14],"a":[15,30,36,47,62,134],"sequence":[16],"vector":[18],"Gaussian":[19],"sources,":[20],"which":[21],"are":[22],"spatially":[23],"i.i.d.":[24],"and":[25,90,103,109],"temporally":[26],"correlated":[27],"according":[28],"to":[29,43],"model.":[32],"The":[33,50],"channel":[34,39],"is":[35,52],"burst":[37,76],"erasure":[38,75],"that":[40,111,123],"erases":[41],"up":[42],"B":[44],"packets":[45,71],"in":[46,54,73,115],"single":[48],"burst.":[49],"decoder":[51],"interested":[53],"instantaneously":[55],"reconstructing":[56],"all":[57],"the":[58,74,80,85,94,107,112,116,124],"source":[59],"sequences":[60],"within":[61],"quadratic":[63],"(mean":[64],"square":[65],"error)":[66],"distortion":[67],"D,":[68],"except":[69],"for":[70,84,106],"lost":[72],"window.":[77],"minimum":[81],"achievable":[82],"rate":[83],"under":[87],"these":[88],"constraints":[89],"define":[91],"it":[92],"as":[93],"lossy":[95],"rate-recovery":[96],"function":[97,108],"R(B,":[98],"D).":[99],"develop":[101],"lower":[102],"upper":[104],"bounds":[105,113],"observe":[110],"coincide":[114],"high":[117],"resolution":[118],"limit.":[119],"Numerical":[120],"comparisons":[121],"indicate":[122],"proposed":[125],"joint":[126],"source-channel":[127],"scheme":[129],"provides":[130],"significant":[131],"gains":[132],"separation":[135],"based":[136],"scheme.":[137]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}