{"id":"https://openalex.org/W2910482746","doi":"https://doi.org/10.1109/itw.2018.8613470","title":"An Iterative Soft-Decision Decoding Algorithm with Dynamic Saturation for Short Reed-Solomon Codes","display_name":"An Iterative Soft-Decision Decoding Algorithm with Dynamic Saturation for Short Reed-Solomon Codes","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2910482746","doi":"https://doi.org/10.1109/itw.2018.8613470","mag":"2910482746"},"language":"en","primary_location":{"id":"doi:10.1109/itw.2018.8613470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2018.8613470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Information Theory Workshop (ITW)","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/A5081888918","display_name":"Bryan Liu","orcid":"https://orcid.org/0000-0003-0080-6736"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Bryan Liu","raw_affiliation_strings":["University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385321","display_name":"Yixuan Xie","orcid":"https://orcid.org/0000-0001-5086-3427"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yixuan Xie","raw_affiliation_strings":["University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037587077","display_name":"Lei Yang","orcid":"https://orcid.org/0000-0001-8393-7189"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lei Yang","raw_affiliation_strings":["University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091837980","display_name":"Jinhong Yuan","orcid":"https://orcid.org/0000-0002-5794-493X"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jinhong Yuan","raw_affiliation_strings":["University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081888918"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.3691,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66616106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"47","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9994000196456909,"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/T11130","display_name":"Coding theory and cryptography","score":0.9987999796867371,"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":0.7517951726913452},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.744540810585022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6560348868370056},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.6519190073013306},{"id":"https://openalex.org/keywords/code-word","display_name":"Code word","score":0.6187316179275513},{"id":"https://openalex.org/keywords/berlekamp\u2013welch-algorithm","display_name":"Berlekamp\u2013Welch algorithm","score":0.5896891355514526},{"id":"https://openalex.org/keywords/list-decoding","display_name":"List decoding","score":0.5810238122940063},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.5178206562995911},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4717439115047455},{"id":"https://openalex.org/keywords/soft-decision-decoder","display_name":"Soft-decision decoder","score":0.45824146270751953},{"id":"https://openalex.org/keywords/sequential-decoding","display_name":"Sequential decoding","score":0.4275946617126465},{"id":"https://openalex.org/keywords/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.26411551237106323},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.2247564196586609},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17051959037780762}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7517951726913452},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.744540810585022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560348868370056},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.6519190073013306},{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.6187316179275513},{"id":"https://openalex.org/C132727834","wikidata":"https://www.wikidata.org/wiki/Q4892328","display_name":"Berlekamp\u2013Welch algorithm","level":5,"score":0.5896891355514526},{"id":"https://openalex.org/C204397858","wikidata":"https://www.wikidata.org/wiki/Q4437907","display_name":"List decoding","level":5,"score":0.5810238122940063},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.5178206562995911},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4717439115047455},{"id":"https://openalex.org/C185588885","wikidata":"https://www.wikidata.org/wiki/Q7553811","display_name":"Soft-decision decoder","level":3,"score":0.45824146270751953},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.4275946617126465},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.26411551237106323},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.2247564196586609},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17051959037780762}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itw.2018.8613470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2018.8613470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1496108277","https://openalex.org/W1624259157","https://openalex.org/W2077814477","https://openalex.org/W2102864653","https://openalex.org/W2109489513","https://openalex.org/W2115044769","https://openalex.org/W2155316710","https://openalex.org/W2742523012","https://openalex.org/W2942537621"],"related_works":["https://openalex.org/W4385859070","https://openalex.org/W4380030966","https://openalex.org/W2135229457","https://openalex.org/W2118148379","https://openalex.org/W2944806087","https://openalex.org/W2355675923","https://openalex.org/W1978153242","https://openalex.org/W2159333237","https://openalex.org/W1983324765","https://openalex.org/W2159021452"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,28,60,92,121],"new":[4],"iterative":[5],"soft-decision":[6],"decoding":[7,12],"algorithm":[8,18,26,107,119],"which":[9],"combines":[10],"list":[11,29],"and":[13,67],"adaptive":[14],"belief":[15],"propagation":[16],"(ABP)":[17],"for":[19,96,108,125],"short":[20,109,126],"Reed-Solomon":[21],"(RS)":[22],"codes.":[23],"The":[24,53,72,102],"proposed":[25,106,118],"generates":[27],"of":[30,63,104],"codewords":[31],"by":[32],"restarting":[33],"the":[34,41,64,68,77,86,97,105,117],"decoder":[35,79,98],"with":[36],"log-likelihood":[37],"ratio":[38],"saturations":[39],"to":[40,59,82,85,90],"dynamically":[42],"selected":[43,57],"suspicious":[44,54],"bits":[45,55],"based":[46],"on":[47],"an":[48],"up-to-date":[49],"best":[50],"decoded":[51,65],"codeword.":[52],"are":[56],"according":[58],"joint":[61],"evaluation":[62],"codeword":[66],"initial":[69],"channel":[70,87],"information.":[71],"damping":[73],"coefficient":[74],"used":[75],"in":[76],"ABP":[78],"is":[80,112],"set":[81],"be":[83],"proportional":[84],"noise":[88,133],"variance":[89],"achieve":[91],"proper":[93],"convergence":[94],"speed":[95],"at":[99],"different":[100],"SNRs.":[101],"performance":[103],"RS":[110,127],"codes":[111,128],"investigated.":[113],"It":[114],"shows":[115],"that":[116],"brings":[120],"considerable":[122],"coding":[123],"gain":[124],"over":[129],"additive":[130],"white":[131],"Gaussian":[132],"channels.":[134]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
