{"id":"https://openalex.org/W2898546922","doi":"https://doi.org/10.1109/ita.2018.8503231","title":"A Novel Coding Scheme for Encoding and Iterative Soft-Decision Decoding of Binary BCH Codes of Prime Lengths","display_name":"A Novel Coding Scheme for Encoding and Iterative Soft-Decision Decoding of Binary BCH Codes of Prime Lengths","publication_year":2018,"publication_date":"2018-02-01","ids":{"openalex":"https://openalex.org/W2898546922","doi":"https://doi.org/10.1109/ita.2018.8503231","mag":"2898546922"},"language":"en","primary_location":{"id":"doi:10.1109/ita.2018.8503231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ita.2018.8503231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Information Theory and Applications Workshop (ITA)","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/A5100772114","display_name":"Shu Lin","orcid":"https://orcid.org/0000-0003-1401-7834"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shu Lin","raw_affiliation_strings":["University of California, Davis, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102938606","display_name":"Khaled Abdel-Ghaffar","orcid":"https://orcid.org/0000-0002-3128-0557"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khaled Abdel-Ghaffar","raw_affiliation_strings":["University of California, Davis, Davis, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038106711","display_name":"Juane Li","orcid":"https://orcid.org/0000-0003-1004-3453"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juane Li","raw_affiliation_strings":["AppoTech USA Inc, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"AppoTech USA Inc, Sunnyvale, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101690383","display_name":"Keke Liu","orcid":"https://orcid.org/0000-0003-3969-8808"},"institutions":[{"id":"https://openalex.org/I4210127325","display_name":"Broadcom (United States)","ror":"https://ror.org/035gt5s03","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127325"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keke Liu","raw_affiliation_strings":["Broadcom Limited, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"Broadcom Limited, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210127325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100772114"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14381548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":1.0,"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":1.0,"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/T11130","display_name":"Coding theory and cryptography","score":0.9998000264167786,"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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bch-code","display_name":"BCH code","score":0.7949014902114868},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7171968221664429},{"id":"https://openalex.org/keywords/berlekamp\u2013welch-algorithm","display_name":"Berlekamp\u2013Welch algorithm","score":0.710252046585083},{"id":"https://openalex.org/keywords/list-decoding","display_name":"List decoding","score":0.6878591775894165},{"id":"https://openalex.org/keywords/sequential-decoding","display_name":"Sequential decoding","score":0.6696017980575562},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.612899899482727},{"id":"https://openalex.org/keywords/parity-check-matrix","display_name":"Parity-check matrix","score":0.6091111898422241},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5515996813774109},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.487643837928772},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4519094228744507},{"id":"https://openalex.org/keywords/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.4093114137649536},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3711183965206146},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.24801287055015564}],"concepts":[{"id":"https://openalex.org/C42276685","wikidata":"https://www.wikidata.org/wiki/Q795705","display_name":"BCH code","level":3,"score":0.7949014902114868},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7171968221664429},{"id":"https://openalex.org/C132727834","wikidata":"https://www.wikidata.org/wiki/Q4892328","display_name":"Berlekamp\u2013Welch algorithm","level":5,"score":0.710252046585083},{"id":"https://openalex.org/C204397858","wikidata":"https://www.wikidata.org/wiki/Q4437907","display_name":"List decoding","level":5,"score":0.6878591775894165},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.6696017980575562},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.612899899482727},{"id":"https://openalex.org/C95925971","wikidata":"https://www.wikidata.org/wiki/Q3100414","display_name":"Parity-check matrix","level":4,"score":0.6091111898422241},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5515996813774109},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.487643837928772},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4519094228744507},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.4093114137649536},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3711183965206146},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.24801287055015564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ita.2018.8503231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ita.2018.8503231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Information Theory and Applications Workshop (ITA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.800000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W391578156","https://openalex.org/W628021441","https://openalex.org/W1484354944","https://openalex.org/W1534925464","https://openalex.org/W1589190557","https://openalex.org/W1593683169","https://openalex.org/W1594652978","https://openalex.org/W1969813053","https://openalex.org/W2013562877","https://openalex.org/W2026580688","https://openalex.org/W2067501233","https://openalex.org/W2083774980","https://openalex.org/W2123530431","https://openalex.org/W2127342417","https://openalex.org/W2135764410","https://openalex.org/W2144253890","https://openalex.org/W2162442687","https://openalex.org/W2168353136","https://openalex.org/W2173776306","https://openalex.org/W2182112064","https://openalex.org/W2610857016","https://openalex.org/W2744658369","https://openalex.org/W2895239415","https://openalex.org/W2967758399","https://openalex.org/W3194602862","https://openalex.org/W3216147140","https://openalex.org/W4256264271","https://openalex.org/W6657175873","https://openalex.org/W6804434002"],"related_works":["https://openalex.org/W4244153028","https://openalex.org/W2028976748","https://openalex.org/W2085052822","https://openalex.org/W2521769401","https://openalex.org/W2118148379","https://openalex.org/W4210406383","https://openalex.org/W2160839632","https://openalex.org/W4303471944","https://openalex.org/W2110262961","https://openalex.org/W2744658369"],"abstract_inverted_index":{"A":[0],"novel":[1],"coding":[2],"scheme":[3,115,130],"is":[4,26,70],"presented":[5],"for":[6,56],"encoding":[7,20],"and":[8],"iterative":[9,63,101],"soft-decision":[10,64],"decoding":[11,65,102,105,114,120,129,140],"of":[12,16,21,31,43,77,79,109,141],"binary":[13,53,62],"BCH":[14,24,81,107],"codes":[15],"prime":[17,110],"lengths.":[18],"The":[19,83,127],"such":[22],"a":[23,29,41,44,52,61,75,106,133],"code":[25,49,108],"performed":[27],"on":[28,68],"collection":[30,76,98],"codewords":[32,78,95],"which":[33,50],"are":[34],"mapped":[35],"through":[36],"Galois":[37],"Fourier":[38],"transform":[39],"into":[40],"codeword":[42],"nonbinary":[45],"low-density":[46],"parity-check":[47,54],"(LDPC)":[48],"has":[51],"matrix":[55],"transmission.":[57],"Using":[58],"this":[59],"matrix,":[60],"algorithm":[66],"based":[67],"belief-propagation":[69],"applied":[71],"to":[72,93],"jointly":[73],"decode":[74],"the":[80,89,94,97,100,112,137],"code.":[82],"joint-decoding":[84,134],"allows":[85],"information":[86],"sharing":[87],"among":[88],"received":[90],"vectors":[91],"corresponding":[92],"in":[96],"during":[99],"process.":[103],"For":[104],"length,":[111],"proposed":[113,128],"not":[116],"only":[117],"requires":[118],"low":[119],"complexity,":[121],"but":[122],"also":[123],"yields":[124],"superior":[125],"performance.":[126],"can":[131],"achieve":[132],"gain":[135],"over":[136],"maximum":[138],"likelihood":[139],"individual":[142],"codewords.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}