乐胖代购免代理版

{"id":"https://openalex.org/W2160318924","doi":"https://doi.org/10.1109/isit.2011.6033824","title":"Polytope of correct (linear programming) decoding and low-weight pseudo-codewords","display_name":"Polytope of correct (linear programming) decoding and low-weight pseudo-codewords","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2160318924","doi":"https://doi.org/10.1109/isit.2011.6033824","mag":"2160318924"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2011.6033824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"proceedings-article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1102.3902","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068974029","display_name":"Michael Chertkov","orcid":"https://orcid.org/0000-0002-6758-515X"},"institutions":[{"id":"https://openalex.org/I4210110743","display_name":"New Mexico Consortium","ror":"https://ror.org/01qnpp968","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210110743"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Chertkov","raw_affiliation_strings":["CNLS and Theoretical Divison, LANL and New Mexico Consortium, Los Alamos, NM, USA"],"affiliations":[{"raw_affiliation_string":"CNLS and Theoretical Divison, LANL and New Mexico Consortium, Los Alamos, NM, USA","institution_ids":["https://openalex.org/I4210110743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112264255","display_name":"Mikhail Stepanov","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mikhail Stepanov","raw_affiliation_strings":["Department of Mathematics, University of Arizona, Tucson, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.902432,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":84,"max":85},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Low-Density Parity-Check and Polar Codes","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":"Low-Density Parity-Check and Polar Codes","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/T10125","display_name":"Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing","score":0.999,"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/T11269","display_name":"Text Compression and Indexing Algorithms","score":0.998,"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":0.57174},{"id":"https://openalex.org/keywords/space-time-coding","display_name":"Space-Time Coding","score":0.562958},{"id":"https://openalex.org/keywords/channel-coding","display_name":"Channel Coding","score":0.551913},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.4831209},{"id":"https://openalex.org/keywords/binary-symmetric-channel","display_name":"Binary symmetric channel","score":0.45817184},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.451741},{"id":"https://openalex.org/keywords/list-decoding","display_name":"List decoding","score":0.44655436}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.73881227},{"id":"https://openalex.org/C145691206","wikidata":"https://www.wikidata.org/wiki/Q747980","display_name":"Polytope","level":2,"score":0.6809988},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.6399079},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.6005112},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5211525},{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.5141421},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.51273906},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.4831209},{"id":"https://openalex.org/C173988684","wikidata":"https://www.wikidata.org/wiki/Q863510","display_name":"Binary symmetric channel","level":4,"score":0.45817184},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.451741},{"id":"https://openalex.org/C204397858","wikidata":"https://www.wikidata.org/wiki/Q4437907","display_name":"List decoding","level":5,"score":0.44655436},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43020067},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41957363},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39415452},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38587627},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.37830007},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.37722808},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.36054426},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.34510872},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.24966493},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.121570885},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.096420944},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2011.6033824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1102.3902","pdf_url":"https://arxiv.org/pdf/1102.3902","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":null,"pdf_url":"https://arxiv.org/pdf/1102.3902.pdf","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.1102.3902","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1102.3902","pdf_url":"https://arxiv.org/pdf/1102.3902","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":["https://openalex.org/W2160318924","https://openalex.org/W3102706275"],"referenced_works_count":28,"referenced_works":["https://openalex.org/W1484692004","https://openalex.org/W152471750","https://openalex.org/W1536930200","https://openalex.org/W1588943481","https://openalex.org/W1595640491","https://openalex.org/W1655598735","https://openalex.org/W1875056259","https://openalex.org/W1971082326","https://openalex.org/W1982041653","https://openalex.org/W2061987651","https://openalex.org/W2078633872","https://openalex.org/W2113069364","https://openalex.org/W2121789497","https://openalex.org/W2128765501","https://openalex.org/W2129325662","https://openalex.org/W2129792138","https://openalex.org/W2140953380","https://openalex.org/W2147760514","https://openalex.org/W2149414429","https://openalex.org/W2169134868","https://openalex.org/W2169415915","https://openalex.org/W2169732368","https://openalex.org/W2296319761","https://openalex.org/W2570173562","https://openalex.org/W2949503285","https://openalex.org/W4250589301","https://openalex.org/W4300188436","https://openalex.org/W7241855"],"related_works":["https://openalex.org/W3176812878","https://openalex.org/W2976144017","https://openalex.org/W2962798318","https://openalex.org/W2777137313","https://openalex.org/W2592446260","https://openalex.org/W2149558777","https://openalex.org/W2138116514","https://openalex.org/W2099140549","https://openalex.org/W180409127","https://openalex.org/W1740277216"],"abstract_inverted_index":{"We":[0,17,37],"analyze":[1],"Linear":[2],"Programming":[3],"(LP)":[4],"decoding":[5,27],"of":[6,24,30,41,51,73,103],"graphical":[7],"binary":[8],"codes":[9],"operating":[10],"over":[11,55,108],"soft-output,":[12],"symmetric":[13],"and":[14,66],"log-concave":[15],"channels.":[16],"show":[18],"that":[19],"the":[20,25,31,39,43,59,64,67,71,74,85,101,104,109],"error-surface,":[21],"separating":[22],"domain":[23,29],"correct":[26],"from":[28],"erroneous":[32],"decoding,":[33],"is":[34,98],"a":[35,47,52,56],"polytope.":[36],"formulate":[38],"problem":[40],"finding":[42,84],"lowest-weight":[44],"pseudo-codeword":[45],"as":[46],"non-convex":[48],"optimization":[49],"(maximization":[50],"convex":[53],"function)":[54],"polytope,":[57],"with":[58],"cost":[60],"function":[61],"defined":[62,69],"by":[63,70],"channel":[65],"polytope":[68],"structure":[72],"code.":[75],"This":[76],"formulation":[77],"suggests":[78],"new":[79],"provably":[80],"convergent":[81],"heuristics":[82],"for":[83],"lowest":[86],"weight":[87],"pseudo-codewords":[88],"improving":[89],"in":[90],"quality":[91],"upon":[92],"previously":[93],"discussed.":[94],"The":[95],"algorithm":[96],"performance":[97],"tested":[99],"on":[100],"example":[102],"Tanner":[105],"[155,64,20]":[106],"code":[107],"Additive":[110],"White":[111],"Gaussian":[112],"Noise":[113],"(AWGN)":[114],"channel.":[115]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2160318924","counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2024-11-30T15:06:32.960018","created_date":"2016-06-24"}