{"id":"https://openalex.org/W1771836513","doi":"https://doi.org/10.1109/glocom.2002.1188352","title":"List sequence MAP decoding","display_name":"List sequence MAP decoding","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W1771836513","doi":"https://doi.org/10.1109/glocom.2002.1188352","mag":"1771836513"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2002.1188352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2002.1188352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE","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/A5029132284","display_name":"C.F. Leanderson","orcid":null},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"C.F. Leanderson","raw_affiliation_strings":["Department of Electroscience, Lund University, Lund, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electroscience, Lund University, Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111966415","display_name":"C.-E.W. Sundberg","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C.-E.W. Sundberg","raw_affiliation_strings":["SundComm, Chatham, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SundComm, Chatham, NJ, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1037","last_page":"1041"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":1.0,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":1.0,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9998999834060669,"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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9972000122070312,"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/decoding-methods","display_name":"Decoding methods","score":0.8147274255752563},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.7410969138145447},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.7334203124046326},{"id":"https://openalex.org/keywords/sequential-decoding","display_name":"Sequential decoding","score":0.7050684094429016},{"id":"https://openalex.org/keywords/list-decoding","display_name":"List decoding","score":0.6579411625862122},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6247398853302002},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.6007328629493713},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5495008826255798},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5485466718673706},{"id":"https://openalex.org/keywords/viterbi-decoder","display_name":"Viterbi decoder","score":0.533447802066803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5218642950057983},{"id":"https://openalex.org/keywords/iterative-viterbi-decoding","display_name":"Iterative Viterbi decoding","score":0.4650629162788391},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.44181695580482483},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4066909849643707},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.24113112688064575},{"id":"https://openalex.org/keywords/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.20897957682609558},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09996479749679565},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.08256778120994568},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0784500241279602},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.0599861741065979}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8147274255752563},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.7410969138145447},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.7334203124046326},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.7050684094429016},{"id":"https://openalex.org/C204397858","wikidata":"https://www.wikidata.org/wiki/Q4437907","display_name":"List decoding","level":5,"score":0.6579411625862122},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6247398853302002},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.6007328629493713},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5495008826255798},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5485466718673706},{"id":"https://openalex.org/C117379686","wikidata":"https://www.wikidata.org/wiki/Q6996459","display_name":"Viterbi decoder","level":3,"score":0.533447802066803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5218642950057983},{"id":"https://openalex.org/C113638808","wikidata":"https://www.wikidata.org/wiki/Q6094410","display_name":"Iterative Viterbi decoding","level":5,"score":0.4650629162788391},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.44181695580482483},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4066909849643707},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.24113112688064575},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.20897957682609558},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09996479749679565},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.08256778120994568},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0784500241279602},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0599861741065979},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/glocom.2002.1188352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2002.1188352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.13.3091","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.3091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.es.lth.se/home/cfl/Documents/no0774.pdf","raw_type":"text"},{"id":"pmh:oai:lup.lub.lu.se:9ad1e31f-22df-4dd5-b6cc-8313fd1ec3f1","is_oa":false,"landing_page_url":"https://lup.lub.lu.se/record/610649","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"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":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2052549413","https://openalex.org/W2100526865","https://openalex.org/W2121606987","https://openalex.org/W2149072083","https://openalex.org/W2160668024","https://openalex.org/W2163391421","https://openalex.org/W2166266701","https://openalex.org/W2166715054","https://openalex.org/W2167393257","https://openalex.org/W2987657883","https://openalex.org/W6683941343","https://openalex.org/W6684155177"],"related_works":["https://openalex.org/W2143297499","https://openalex.org/W1915619113","https://openalex.org/W3194244515","https://openalex.org/W2921374214","https://openalex.org/W2544568790","https://openalex.org/W2165098971","https://openalex.org/W2147640366","https://openalex.org/W2510070518","https://openalex.org/W176266968","https://openalex.org/W1843778016"],"abstract_inverted_index":{"A":[0],"list":[1,27,46],"sequence":[2,31,111],"(LS)":[3],"maximum":[4],"a":[5,19,24,103],"posteriori":[6],"probability":[7],"(MAP)":[8],"decoding":[9,58,95,113,131],"algorithm":[10],"for":[11],"convolutional":[12],"codes,":[13],"that":[14,93],"takes":[15],"into":[16],"account":[17],"bitwise":[18],"priori":[20,104],"probabilities":[21],"and":[22,72,89],"produces":[23],"rank":[25],"ordered":[26],"of":[28,39,43,56],"/spl":[29,97,133],"Lscr/":[30,98,115,134],"MAP":[32,112],"estimates,":[33],"can":[34],"be":[35],"obtained":[36],"by":[37],"modification":[38],"the":[40,44,54,64,85],"metric":[41],"increments":[42],"serial":[45],"Viterbi":[47],"algorithm.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"study":[53],"performance":[55],"LS-MAP":[57,94,128],"with":[59,96,127],"genie-assisted":[60],"error":[61,87],"detection":[62],"on":[63,77,84],"additive":[65],"white":[66],"Gaussian":[67],"noise":[68],"channel.":[69],"Computer":[70],"simulations":[71],"approximate":[73],"analytical":[74],"expressions,":[75],"based":[76],"geometrical":[78],"considerations":[79],"are":[80],"presented.":[81],"We":[82],"focus":[83],"frame":[86],"rate":[88],"it":[90],"is":[91],"concluded":[92],">":[99],"1":[100],"often":[101],"exploits":[102],"information":[105],"more":[106],"efficiently":[107],"than":[108,129],"conventional":[109],"single":[110],"(/spl":[114],"=":[116],"1).":[117],"This":[118],"leads":[119],"in":[120],"many":[121],"cases":[122],"to":[123],"larger":[124],"relative":[125],"gains":[126],"LS-ML":[130],"as":[132],"increases.":[135]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
