{"id":"https://openalex.org/W2921492197","doi":"https://doi.org/10.1109/access.2019.2904718","title":"Parameter Identification of Reed-Solomon Codes Based on Probability Statistics and Galois Field Fourier Transform","display_name":"Parameter Identification of Reed-Solomon Codes Based on Probability Statistics and Galois Field Fourier Transform","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2921492197","doi":"https://doi.org/10.1109/access.2019.2904718","mag":"2921492197"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2904718","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2904718","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08666633.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08666633.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024913698","display_name":"Pengtao Liu","orcid":"https://orcid.org/0000-0002-7027-7828"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengtao Liu","raw_affiliation_strings":["School of Electronic Science, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-7027-7828","affiliations":[{"raw_affiliation_string":"School of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101681933","display_name":"Zhipeng Pan","orcid":"https://orcid.org/0000-0003-4577-7705"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Pan","raw_affiliation_strings":["School of Electronic Science, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-4577-7705","affiliations":[{"raw_affiliation_string":"School of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110911326","display_name":"Jing Lei","orcid":"https://orcid.org/0000-0002-5838-5826"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Lei","raw_affiliation_strings":["School of Electronic Science, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5838-5826","affiliations":[{"raw_affiliation_string":"School of Electronic Science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.5531,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.87008625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"33619","last_page":"33630"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11130","display_name":"Coding theory and cryptography","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11130","display_name":"Coding theory and cryptography","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9984999895095825,"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/algorithm","display_name":"Algorithm","score":0.6392539143562317},{"id":"https://openalex.org/keywords/reed\u2013solomon-error-correction","display_name":"Reed\u2013Solomon error correction","score":0.5350417494773865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5030500292778015},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5021803379058838},{"id":"https://openalex.org/keywords/galois-theory","display_name":"Galois theory","score":0.5020220279693604},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4414663016796112},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4181986451148987},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.41226208209991455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35050779581069946},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33434319496154785},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3180254101753235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2785434126853943},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.2610611021518707},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.23973101377487183},{"id":"https://openalex.org/keywords/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.22056975960731506},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.18879541754722595}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6392539143562317},{"id":"https://openalex.org/C78065487","wikidata":"https://www.wikidata.org/wiki/Q1061598","display_name":"Reed\u2013Solomon error correction","level":5,"score":0.5350417494773865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5030500292778015},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5021803379058838},{"id":"https://openalex.org/C94398972","wikidata":"https://www.wikidata.org/wiki/Q92552","display_name":"Galois theory","level":2,"score":0.5020220279693604},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4414663016796112},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4181986451148987},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.41226208209991455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35050779581069946},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33434319496154785},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3180254101753235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2785434126853943},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.2610611021518707},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.23973101377487183},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.22056975960731506},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.18879541754722595},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2904718","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2904718","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08666633.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ca8b0264c6d1425481baac8f283bb149","is_oa":true,"landing_page_url":"https://doaj.org/article/ca8b0264c6d1425481baac8f283bb149","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 33619-33630 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2904718","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2904718","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08666633.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3524704529","display_name":null,"funder_award_id":"61702536","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4577732683","display_name":null,"funder_award_id":"61502518","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2921492197.pdf","grobid_xml":"https://content.openalex.org/works/W2921492197.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1594063982","https://openalex.org/W1963672655","https://openalex.org/W1981333859","https://openalex.org/W1986128089","https://openalex.org/W2111349746","https://openalex.org/W2148393970","https://openalex.org/W2189510460","https://openalex.org/W2340118409","https://openalex.org/W2340458425","https://openalex.org/W2383956259","https://openalex.org/W2597867592","https://openalex.org/W2620575490","https://openalex.org/W2886370839","https://openalex.org/W2889635677","https://openalex.org/W6645547313"],"related_works":["https://openalex.org/W2129166980","https://openalex.org/W2994481912","https://openalex.org/W844466527","https://openalex.org/W2538383631","https://openalex.org/W2081191264","https://openalex.org/W3175040360","https://openalex.org/W2186735402","https://openalex.org/W1964283646","https://openalex.org/W2363989907","https://openalex.org/W1993556010"],"abstract_inverted_index":{"The":[0,149],"parameter":[1],"identification":[2,75],"of":[3,13,45,85,97,104,109,116,122,130,137,174,194,215,226,247],"channel":[4],"codes":[5,87,166,177],"plays":[6],"a":[7,64],"significant":[8],"role":[9],"in":[10,133,142],"the":[11,43,46,54,73,78,95,98,102,107,114,120,125,135,146,155,163,170,175,190,206,210,222,233,245],"fields":[12],"adaptive":[14],"modulation":[15],"and":[16,33,91,106],"coding":[17],"(AMC)":[18],"as":[19,21],"well":[20],"non-cooperative":[22],"communications.":[23],"In":[24],"this":[25,143],"paper,":[26],"an":[27],"algorithm":[28,157,229],"based":[29],"on":[30,81,113],"probability":[31,55,173,214],"statistics":[32,56],"Galois":[34],"field":[35],"Fourier":[36],"transform":[37],"(PS-GFFT)":[38],"is":[39,57,69,129,140,180,196,219,230],"proposed":[40,156,228,249],"to":[41,59,71,232],"identify":[42],"parameters":[44,62,117],"Reed-Solomon":[47],"(RS)":[48],"codes.":[49],"A":[50],"threshold":[51],"obtained":[52],"by":[53],"used":[58],"skip":[60],"wrong":[61],"within":[63],"candidate":[65],"set,":[66],"while":[67,205],"GFFT":[68],"applied":[70],"reduce":[72],"error":[74,192],"probability.":[76],"Meanwhile,":[77],"upper":[79,126,235],"bound":[80],"correct":[82,171,212,223],"recognition":[83,138,160,167,172,213,224],"rate":[84,193,225],"RS":[86,165,176],"has":[88,158],"been":[89],"derived":[90,234],"proved,":[92],"which":[93,128,242],"quantifies":[94],"influence":[96],"received":[99],"codewords'":[100],"length,":[101,241],"bit-error-rate":[103],"codewords,":[105],"number":[108],"bits":[110],"per":[111],"symbol":[112],"accuracy":[115],"estimation.":[118],"To":[119],"best":[121,211],"our":[123,227,248],"knowledge,":[124],"bound,":[127,236],"great":[131],"significance":[132],"evaluating":[134],"performance":[136,161],"algorithms,":[139],"provided":[141],"paper":[144],"for":[145,238],"first":[147],"time.":[148],"numerous":[150],"simulation":[151],"results":[152],"illustrate":[153],"that":[154,221],"better":[159],"than":[162,183],"existing":[164],"algorithms.":[168],"Specifically,":[169],"whose":[178],"length":[179],"no":[181],"more":[182],"255":[184],"can":[185],"be":[186],"over":[187],"90%":[188],"when":[189],"bit":[191],"codewords":[195],"below":[197],"3":[198],"*":[199],"10":[200],"<sup":[201],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[202],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-3</sup>":[203],",":[204],"conventional":[207],"algorithms":[208],"have":[209],"10%.":[216],"Furthermore,":[217],"it":[218],"observed":[220],"close":[231],"especially":[237],"long":[239],"code":[240],"further":[243],"verifies":[244],"superiority":[246],"algorithm.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}