{"id":"https://openalex.org/W2006613936","doi":"https://doi.org/10.1109/dcc.1999.785701","title":"Improved joint source-channel decoding for variable-length encoded data using soft decisions and MMSE estimation","display_name":"Improved joint source-channel decoding for variable-length encoded data using soft decisions and MMSE estimation","publication_year":1999,"publication_date":"1999-01-01","ids":{"openalex":"https://openalex.org/W2006613936","doi":"https://doi.org/10.1109/dcc.1999.785701","mag":"2006613936"},"language":"en","primary_location":{"id":"doi:10.1109/dcc.1999.785701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.1999.785701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings DCC'99 Data Compression Conference (Cat. No. PR00096)","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/A5062854490","display_name":"M.S. Park","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.S. Park","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101739086","display_name":"David J. Miller","orcid":"https://orcid.org/0000-0001-8848-1643"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D.J. Miller","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","[Department of Electrical Engineering, Pennsylvania State University, University park, PA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"[Department of Electrical Engineering, Pennsylvania State University, University park, PA, USA]","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":1.8801,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8409912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"544","last_page":"544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991999864578247,"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":0.9975000023841858,"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":0.8651878237724304},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.7333123683929443},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6891995668411255},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6470013856887817},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5736678838729858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5500619411468506},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.5150851607322693},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.5098294615745544},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4539378583431244},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4201350808143616},{"id":"https://openalex.org/keywords/sequential-decoding","display_name":"Sequential decoding","score":0.41707462072372437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37149059772491455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1371830403804779},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.13301226496696472},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12940046191215515},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.11611330509185791},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.08660799264907837}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8651878237724304},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.7333123683929443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6891995668411255},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6470013856887817},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5736678838729858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5500619411468506},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.5150851607322693},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.5098294615745544},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4539378583431244},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4201350808143616},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.41707462072372437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37149059772491455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1371830403804779},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.13301226496696472},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12940046191215515},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.11611330509185791},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.08660799264907837},{"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc.1999.785701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.1999.785701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings DCC'99 Data Compression Conference (Cat. No. PR00096)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1552517588","https://openalex.org/W2170385021","https://openalex.org/W4231610903"],"related_works":["https://openalex.org/W2105454578","https://openalex.org/W1913982554","https://openalex.org/W2136414433","https://openalex.org/W2134727924","https://openalex.org/W2443615171","https://openalex.org/W2123798617","https://openalex.org/W3014189868","https://openalex.org/W1996887488","https://openalex.org/W2252778796","https://openalex.org/W1704803582"],"abstract_inverted_index":{"Summary":[0],"form":[1,153,179],"only":[2],"given.":[3],"We":[4,184],"develop":[5],"improved":[6],"joint":[7],"source-channel":[8],"(JSC)":[9],"methods":[10,27],"for":[11,167,206],"decoding":[12,69],"variable":[13],"length":[14,34],"encoded":[15],"data":[16],"based":[17,28],"on":[18,29,79],"residual":[19,30],"source":[20],"redundancy.":[21],"Until":[22],"very":[23],"recently,":[24],"all":[25],"JSC":[26,68,104,170],"redundancy":[31],"assumed":[32],"fixed":[33],"codewords.":[35],"Recently,":[36],"a":[37,45,65,83,154,191,202],"practically":[38],"realizable":[39],"system":[40],"which":[41],"performed":[42],"best":[43],"over":[44],"significant":[46],"range":[47],"of":[48,52,77,135],"channel":[49],"conditions":[50],"consisting":[51],"inner":[53],"binary":[54],"convolutional":[55],"(BC)":[56],"(bit-level)":[57],"decoding,":[58],"followed":[59],"by":[60,88,94],"outer":[61],"(symbol-level)":[62],"approximate":[63,144,149,168,201],"maximum":[64],"posteriori":[66,203],"(MAP)":[67],"was":[70],"suggested.":[71],"Here":[72],"we":[73,141,151,173],"suggest":[74,142],"two":[75],"ways":[76],"improving":[78],"this":[80,148,196],"method.":[81,146],"First,":[82],"straightforward":[84],"improvement":[85],"is":[86],"realized":[87],"using":[89,158],"soft/probabilistic":[90,109],"bit":[91],"decisions":[92],"output":[93],"the":[95,103,112,128,133,159,175,187],"BC":[96],"decoder,":[97],"rather":[98],"than":[99],"hard":[100],"decisions.":[101],"Second,":[102],"decoder":[105,122],"can":[106],"itself":[107],"generate":[108],"output,":[110],"at":[111],"symbol":[113],"level.":[114],"The":[115],"exact":[116,129],"VLC":[117],"minimum":[118],"mean-squared":[119],"error":[120],"(MMSE)":[121],"has":[123],"large":[124],"complexity,":[125],"similar":[126],"to":[127,178,195,199],"MAP":[130,161,169],"method,":[131],"because":[132],"number":[134],"states":[136,177],"increases":[137],"with":[138],"time.":[139],"Thus":[140],"an":[143,180],"MMSE":[145,207],"In":[147],"scheme,":[150],"first":[152],"reduced":[155,197],"directed":[156,182],"graph,":[157],"same":[160],"state":[162,192],"reduction":[163],"procedure":[164,194],"as":[165],"used":[166,205],"decoding.":[171],"Next,":[172],"rearrange":[174],"remaining":[176],"(equivalent)":[181],"graph.":[183],"then":[185],"apply":[186],"forward/backward":[188],"algorithm":[189],"and":[190],"merging":[193],"graph":[198],"get":[200],"probabilities,":[204],"estimation.":[208]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}