乐胖代购免代理版

{"id":"https://openalex.org/W2744931845","doi":"https://doi.org/10.1109/isit.2017.8006817","title":"Complexity-optimized concatenated LDGM-staircase codes","display_name":"Complexity-optimized concatenated LDGM-staircase codes","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2744931845","doi":"https://doi.org/10.1109/isit.2017.8006817","mag":"2744931845"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006817","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5029628981","display_name":"Lei M. Zhang","orcid":"https://orcid.org/0000-0003-4314-0081"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lei M. Zhang","raw_affiliation_strings":["Dept. of Electrical & Computer Engineering, University of Toronto"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077846751","display_name":"Frank R. Kschischang","orcid":"https://orcid.org/0000-0002-4274-1785"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Frank R. Kschischang","raw_affiliation_strings":["Dept. of Electrical & Computer Engineering, University of Toronto"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.762,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":5,"citation_normalized_percentile":{"value":0.522011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":81},"biblio":{"volume":null,"issue":null,"first_page":"1688","last_page":"1692"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9999,"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":0.9999,"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":0.9989,"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":0.9936,"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/iterative-decoding","display_name":"Iterative Decoding","score":0.547021},{"id":"https://openalex.org/keywords/error-correcting-codes","display_name":"Error-Correcting Codes","score":0.527947},{"id":"https://openalex.org/keywords/ldpc-codes","display_name":"LDPC Codes","score":0.522624},{"id":"https://openalex.org/keywords/channel-coding","display_name":"Channel Coding","score":0.522018},{"id":"https://openalex.org/keywords/constant-weight-code","display_name":"Constant-weight code","score":0.5078836},{"id":"https://openalex.org/keywords/coding-gain","display_name":"Coding gain","score":0.47657084},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.41303688}],"concepts":[{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.755003},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6376707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.59194875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.52523637},{"id":"https://openalex.org/C197242373","wikidata":"https://www.wikidata.org/wiki/Q5163613","display_name":"Constant-weight code","level":5,"score":0.5078836},{"id":"https://openalex.org/C76862118","wikidata":"https://www.wikidata.org/wiki/Q1105671","display_name":"Coding gain","level":3,"score":0.47657084},{"id":"https://openalex.org/C70992990","wikidata":"https://www.wikidata.org/wiki/Q1681587","display_name":"Systematic code","level":4,"score":0.46599853},{"id":"https://openalex.org/C2400350","wikidata":"https://www.wikidata.org/wiki/Q1752667","display_name":"Linear code","level":4,"score":0.44791895},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41714603},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.41303688},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4107955},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.35995454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31717134},{"id":"https://openalex.org/C206468330","wikidata":"https://www.wikidata.org/wiki/Q834373","display_name":"Code rate","level":3,"score":0.3095901},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09360021},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006817","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.63}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":21,"referenced_works":["https://openalex.org/W1518629191","https://openalex.org/W1536930200","https://openalex.org/W1573665190","https://openalex.org/W1995314179","https://openalex.org/W1998929580","https://openalex.org/W2008657729","https://openalex.org/W2068535794","https://openalex.org/W2074196758","https://openalex.org/W2081413282","https://openalex.org/W2089603610","https://openalex.org/W2110937818","https://openalex.org/W2111619509","https://openalex.org/W2119731517","https://openalex.org/W2129971925","https://openalex.org/W2135393523","https://openalex.org/W2142174527","https://openalex.org/W2148095386","https://openalex.org/W2160390925","https://openalex.org/W2321331926","https://openalex.org/W2625124615","https://openalex.org/W651860528"],"related_works":["https://openalex.org/W4250402636","https://openalex.org/W2772956856","https://openalex.org/W2533447006","https://openalex.org/W2171391334","https://openalex.org/W2152770076","https://openalex.org/W2149939685","https://openalex.org/W2138879458","https://openalex.org/W2108564683","https://openalex.org/W2082705204","https://openalex.org/W1988258635"],"abstract_inverted_index":{"A":[0,109],"concatenated":[1,47,143],"soft-decision":[2,20,163],"channel":[3],"coding":[4],"scheme":[5,156],"consisting":[6],"of":[7,31,45,58,68,74,94,102,106,133,146],"an":[8,13,87,100],"inner":[9,80,117],"LDGM":[10,21,62,81],"code":[11,16,22,48,63,76,120,147],"and":[12,71,99,118,139],"outer":[14,119],"staircase":[15,41,75],"is":[17,23,49,83,112],"proposed.":[18],"The":[19,79,125],"used":[24,113],"for":[25,141],"error":[26],"reduction":[27,169],"while":[28],"the":[29,37,46,56,61,66,72,92,95,103,116,134,142,154],"majority":[30],"bit":[32],"errors":[33],"are":[34],"corrected":[35],"by":[36,51,85],"low":[38],"complexity":[39,44,140],"hard-decision":[40],"code.":[42,144],"Decoding":[43],"quantified":[50],"a":[52,130],"score":[53],"based":[54],"on":[55],"number":[57,67,73,105],"edges":[59],"in":[60,129,170],"Tanner":[64],"graph,":[65],"decoding":[69,77,107],"iterations,":[70],"operations.":[78],"ensemble":[82],"designed":[84],"solving":[86],"optimization":[88],"problem,":[89],"which":[90],"minimizes":[91],"product":[93],"average":[96],"node":[97],"degree":[98],"estimate":[101],"required":[104],"iterations.":[108],"search":[110],"procedure":[111,127],"to":[114,161,167],"find":[115],"pair":[121],"with":[122,165],"lowest":[123],"complexity.":[124,171],"design":[126],"results":[128],"Pareto-frontier":[131],"characterization":[132],"trade-off":[135],"between":[136],"net":[137,158],"coding-gain":[138],"Simulations":[145],"designs":[148],"at":[149],"rate":[150],"5/6":[151],"show":[152],"that":[153],"proposed":[155],"achieves":[157],"coding-gains":[159],"equivalent":[160],"existing":[162],"codes,":[164],"up":[166],"57%":[168]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2744931845","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2024-12-05T07:44:38.765269","created_date":"2017-08-17"}