{"id":"https://openalex.org/W2053879977","doi":"https://doi.org/10.1109/wcsp.2014.6992195","title":"Gibbs sampling based parameter estimation for RSC sub-codes of turbo codes","display_name":"Gibbs sampling based parameter estimation for RSC sub-codes of turbo codes","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2053879977","doi":"https://doi.org/10.1109/wcsp.2014.6992195","mag":"2053879977"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2014.6992195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2014.6992195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103131576","display_name":"Peidong Yu","orcid":"https://orcid.org/0000-0001-9877-1716"},"institutions":[{"id":"https://openalex.org/I4210091712","display_name":"Zhengzhou University of Science and Technology","ror":"https://ror.org/00b3j7936","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peidong Yu","raw_affiliation_strings":["Zhengzhou institute of information science and technology, Zhengzhou, China","Zhengzhou institute of information science and technology, Zhengzhou 450002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou institute of information science and technology, Zhengzhou, China","institution_ids":["https://openalex.org/I4210091712"]},{"raw_affiliation_string":"Zhengzhou institute of information science and technology, Zhengzhou 450002, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336978","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-7106-1340"},"institutions":[{"id":"https://openalex.org/I4210091712","display_name":"Zhengzhou University of Science and Technology","ror":"https://ror.org/00b3j7936","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["Zhengzhou institute of information science and technology, Zhengzhou, China","Zhengzhou institute of information science and technology, Zhengzhou 450002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou institute of information science and technology, Zhengzhou, China","institution_ids":["https://openalex.org/I4210091712"]},{"raw_affiliation_string":"Zhengzhou institute of information science and technology, Zhengzhou 450002, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101459680","display_name":"Hua Peng","orcid":"https://orcid.org/0000-0002-0312-5613"},"institutions":[{"id":"https://openalex.org/I4210091712","display_name":"Zhengzhou University of Science and Technology","ror":"https://ror.org/00b3j7936","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Peng","raw_affiliation_strings":["Zhengzhou institute of information science and technology, Zhengzhou, China","Zhengzhou institute of information science and technology, Zhengzhou 450002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou institute of information science and technology, Zhengzhou, China","institution_ids":["https://openalex.org/I4210091712"]},{"raw_affiliation_string":"Zhengzhou institute of information science and technology, Zhengzhou 450002, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210091712"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"42","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987000226974487,"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":0.996399998664856,"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/gibbs-sampling","display_name":"Gibbs sampling","score":0.800439715385437},{"id":"https://openalex.org/keywords/turbo-code","display_name":"Turbo code","score":0.7475471496582031},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.6440069079399109},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6059488654136658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5833380222320557},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5349252223968506},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47668910026550293},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.4359782040119171},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3779591917991638},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28165754675865173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25006303191185},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2460314929485321},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.14712554216384888}],"concepts":[{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.800439715385437},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.7475471496582031},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.6440069079399109},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6059488654136658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5833380222320557},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5349252223968506},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47668910026550293},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.4359782040119171},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3779591917991638},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28165754675865173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25006303191185},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2460314929485321},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.14712554216384888},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2014.6992195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2014.6992195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W39762558","https://openalex.org/W1989671993","https://openalex.org/W1999890907","https://openalex.org/W2011118865","https://openalex.org/W2038157520","https://openalex.org/W2076585565","https://openalex.org/W2097516073","https://openalex.org/W2123609700","https://openalex.org/W2125727560","https://openalex.org/W2127616025","https://openalex.org/W2129259637","https://openalex.org/W2129619337","https://openalex.org/W2145210011","https://openalex.org/W2146694142","https://openalex.org/W2153555078","https://openalex.org/W2172143515","https://openalex.org/W2484866470","https://openalex.org/W4206851464","https://openalex.org/W4212868909","https://openalex.org/W6601614058","https://openalex.org/W6806841470"],"related_works":["https://openalex.org/W2159911483","https://openalex.org/W2358415454","https://openalex.org/W2132373020","https://openalex.org/W2092269370","https://openalex.org/W2158222171","https://openalex.org/W2088295822","https://openalex.org/W2148668421","https://openalex.org/W2970575518","https://openalex.org/W2108627014","https://openalex.org/W2029061748"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3],"the":[4,32,36,45,49],"Bayesian":[5],"parameter":[6],"estimation":[7,50],"for":[8,24],"recursive":[9],"convolutional":[10],"sub-codes":[11],"of":[12,31],"turbo":[13],"codes.":[14],"A":[15],"Monte":[16],"Carlo":[17],"method":[18],"named":[19],"Gibbs":[20],"sampling":[21],"is":[22],"employed":[23],"this":[25],"problem.":[26],"The":[27],"involved":[28],"conditional":[29],"probabilities":[30],"encoder":[33],"coefficients":[34],"and":[35],"coded":[37],"sequences":[38],"are":[39],"derived.":[40],"Simulation":[41],"results":[42],"show":[43],"that":[44],"proposed":[46],"algorithm":[47],"improves":[48],"accuracy":[51],"substantially.":[52]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}