{"id":"https://openalex.org/W2170007692","doi":"https://doi.org/10.1109/twc.2006.1633352","title":"A simple remedy for the exaggerated extrinsic information produced by the SOVA algorithm","display_name":"A simple remedy for the exaggerated extrinsic information produced by the SOVA algorithm","publication_year":2006,"publication_date":"2006-05-01","ids":{"openalex":"https://openalex.org/W2170007692","doi":"https://doi.org/10.1109/twc.2006.1633352","mag":"2170007692"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2006.1633352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2006.1633352","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Wireless Communications","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/A5074391529","display_name":"Chuan Xiu Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Chuan Xiu Huang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","Motorola, Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Motorola, Inc., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014049864","display_name":"Ali Ghrayeb","orcid":"https://orcid.org/0000-0002-6808-5886"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"A. Ghrayeb","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074391529"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":1.8805,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.86652542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"5","issue":"5","first_page":"996","last_page":"1002"},"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":0.9993000030517578,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9969000220298767,"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/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.7999283075332642},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7536885738372803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7403441667556763},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.6423805356025696},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.6219802498817444},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5998466610908508},{"id":"https://openalex.org/keywords/viterbi-decoder","display_name":"Viterbi decoder","score":0.5008223056793213},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.45800209045410156},{"id":"https://openalex.org/keywords/soft-output-viterbi-algorithm","display_name":"Soft output Viterbi algorithm","score":0.44696754217147827},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.42254653573036194},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.23848125338554382},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18598994612693787},{"id":"https://openalex.org/keywords/sequential-decoding","display_name":"Sequential decoding","score":0.11937245726585388},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.09775060415267944}],"concepts":[{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.7999283075332642},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7536885738372803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7403441667556763},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.6423805356025696},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.6219802498817444},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5998466610908508},{"id":"https://openalex.org/C117379686","wikidata":"https://www.wikidata.org/wiki/Q6996459","display_name":"Viterbi decoder","level":3,"score":0.5008223056793213},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.45800209045410156},{"id":"https://openalex.org/C130319729","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Soft output Viterbi algorithm","level":5,"score":0.44696754217147827},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.42254653573036194},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.23848125338554382},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18598994612693787},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.11937245726585388},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.09775060415267944},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2006.1633352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2006.1633352","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310160","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W652942047","https://openalex.org/W1500706824","https://openalex.org/W1582562978","https://openalex.org/W2041670340","https://openalex.org/W2061975376","https://openalex.org/W2079285580","https://openalex.org/W2093329138","https://openalex.org/W2100555498","https://openalex.org/W2102251435","https://openalex.org/W2107080958","https://openalex.org/W2110659753","https://openalex.org/W2117205153","https://openalex.org/W2119411189","https://openalex.org/W2121606987","https://openalex.org/W2131341621","https://openalex.org/W2141619954","https://openalex.org/W2142384583","https://openalex.org/W2145714519","https://openalex.org/W2146694142","https://openalex.org/W2151372824","https://openalex.org/W2167393257","https://openalex.org/W2499622656","https://openalex.org/W2987657883","https://openalex.org/W3128611524","https://openalex.org/W6674795632","https://openalex.org/W6677325291"],"related_works":["https://openalex.org/W2143297499","https://openalex.org/W2146383045","https://openalex.org/W2790444905","https://openalex.org/W4232476001","https://openalex.org/W1879414379","https://openalex.org/W2183438146","https://openalex.org/W2510070518","https://openalex.org/W1621026665","https://openalex.org/W2101868111","https://openalex.org/W2108882652"],"abstract_inverted_index":{"In":[0],"this":[1,184],"paper,":[2],"we":[3,186],"propose":[4],"a":[5,178],"novel":[6],"and":[7,32,47,85,104,113,149],"simple":[8],"approach":[9],"for":[10,108],"dealing":[11],"with":[12,195],"the":[13,19,41,45,51,59,73,78,83,90,94,121,172,177,188,192,201,221,227,237,243],"exaggerated":[14],"extrinsic":[15,52,86],"information":[16,53,80,87],"produced":[17],"by":[18],"soft-output":[20],"Viterbi":[21],"algorithm":[22,194],"(SOVA).":[23],"The":[24,65],"proposed":[25,189,228],"remedy":[26],"is":[27,56,174,246],"based":[28],"on":[29,98,161],"mathematical":[30],"analysis":[31],"it":[33,55,132],"involves":[34],"using":[35],"two":[36],"attenuators,":[37],"one":[38],"applied":[39,49],"to":[40,50,58,82,138,152,176,191,210,220],"immediate":[42],"output":[43],"of":[44,67,89,135,239],"SOVA":[46,96],"another":[48],"before":[54],"passed":[57],"other":[60],"decoder":[61],"(assuming":[62],"iterative":[63],"decoding).":[64],"use":[66],"these":[68,240],"attenuators":[69],"aims":[70],"at":[71,141,155,213],"reducing":[72],"inherent":[74],"strong":[75],"correlation":[76],"between":[77,208],"intrinsic":[79],"(input":[81],"SOVA)":[84],"(output":[88],"SOVA).":[91],"We":[92,118,164,198,223],"examine":[93],"modified":[95,202],"(MSOVA)":[97],"additive":[99],"white":[100],"Gaussian":[101],"noise":[102],"(AWGN)":[103],"flat":[105],"fading":[106,162],"channels":[107],"parallel":[109],"concatenated":[110,115],"codes":[111,116],"(PCCs)":[112],"serial":[114],"(SCCs).":[117],"show":[119,166],"that":[120,167,200,226],"MSOVA":[122,173],"provides":[123,133,205],"substantial":[124],"performance":[125,206,234],"improvements":[126,134,207],"over":[127],"both":[128],"channels.":[129,163],"For":[130],"example,":[131],"about":[136,150],"0.8":[137],"1.0":[139],"dB":[140,154,212],"P/sub":[142,156,214],"b/":[143,157,215],"=":[144,158,216],"10/sup":[145,159,217],"-5/":[146,160,218],"in":[147],"AWGN,":[148],"1.4":[151],"2.0":[153],"also":[165],"there":[168],"are":[169],"cases":[170],"where":[171],"superior":[175],"posteriori":[179],"probability":[180],"(APP)":[181],"algorithm.":[182],"With":[183],"motivation,":[185],"extend":[187],"modification":[190],"APP":[193,203],"favorable":[196],"results.":[197],"demonstrate":[199],"(MAPP)":[204],"0.3":[209],"0.6":[211],"relative":[219],"APP.":[222],"lastly":[224],"mention":[225],"modifications,":[229],"while":[230],"they":[231],"provide":[232],"considerable":[233],"improvements,":[235],"keep":[236],"complexity":[238],"decoders":[241],"almost":[242],"same,":[244],"which":[245],"remarkable.":[247]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}