{"id":"https://openalex.org/W2054751930","doi":"https://doi.org/10.1109/istc.2012.6325187","title":"Efficient iterative decoding of LDPC in the presence of strong phase noise","display_name":"Efficient iterative decoding of LDPC in the presence of strong phase noise","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2054751930","doi":"https://doi.org/10.1109/istc.2012.6325187","mag":"2054751930"},"language":"en","primary_location":{"id":"doi:10.1109/istc.2012.6325187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istc.2012.6325187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 7th International Symposium on Turbo Codes and Iterative Information Processing (ISTC)","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/A5027848375","display_name":"Shachar Shayovitz","orcid":"https://orcid.org/0000-0001-7391-213X"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Shachar Shayovitz","raw_affiliation_strings":["Department of Electrical Engineering, Tel Aviv University, Israel","Department of Electrical Engineering, Tel Aviv University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tel Aviv University, Israel","institution_ids":["https://openalex.org/I16391192"]},{"raw_affiliation_string":"Department of Electrical Engineering, Tel Aviv University","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036838465","display_name":"Dan Raphaeli","orcid":"https://orcid.org/0000-0003-3563-1067"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Dan Raphaeli","raw_affiliation_strings":["Department of Electrical Engineering, Tel Aviv University, Israel","Department of Electrical Engineering, Tel Aviv University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tel Aviv University, Israel","institution_ids":["https://openalex.org/I16391192"]},{"raw_affiliation_string":"Department of Electrical Engineering, Tel Aviv University","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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":"Algorithms and Data Compression","score":0.9937000274658203,"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/factor-graph","display_name":"Factor graph","score":0.9105663299560547},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.8151535987854004},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7162865996360779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6891789436340332},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6180568933486938},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.541201651096344},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5402810573577881},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.5154367685317993},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44352462887763977},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41948050260543823},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4168283939361572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22562068700790405}],"concepts":[{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.9105663299560547},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.8151535987854004},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7162865996360779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6891789436340332},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6180568933486938},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.541201651096344},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5402810573577881},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.5154367685317993},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44352462887763977},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41948050260543823},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4168283939361572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22562068700790405},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/istc.2012.6325187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istc.2012.6325187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 7th International Symposium on Turbo Codes and Iterative Information Processing (ISTC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.746.9867","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.746.9867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1204.2660.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1965555277","https://openalex.org/W2106233680","https://openalex.org/W2129362928","https://openalex.org/W4246202668"],"related_works":["https://openalex.org/W4312422976","https://openalex.org/W4301001985","https://openalex.org/W2120733084","https://openalex.org/W2953176410","https://openalex.org/W4315777848","https://openalex.org/W2124250880","https://openalex.org/W2113725794","https://openalex.org/W2122977448","https://openalex.org/W2024069221","https://openalex.org/W4310001825"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,16,29,60],"new":[6],"efficient":[7],"message":[8],"passing":[9],"algorithm":[10,23,98],"for":[11,50,62,77,95],"decoding":[12],"LDPC":[13],"transmitted":[14],"over":[15,102],"channel":[17,35],"with":[18],"strong":[19],"phase":[20,78],"noise.":[21],"The":[22,40,71],"performs":[24],"approximate":[25,41],"bayesian":[26],"inference":[27,42],"on":[28,45],"factor":[30],"graph":[31],"representation":[32],"of":[33,53,85,104,108],"the":[34,51,54,64,67,83,96,105,109],"and":[36,59,92],"code":[37],"joint":[38],"posterior.":[39],"is":[43],"based":[44],"an":[46],"improved":[47],"canonical":[48,73],"model":[49,74],"messages":[52,65],"Sum":[55],"&":[56],"Product":[57],"Algorithm,":[58],"method":[61],"clustering":[63],"using":[66],"directional":[68],"statistics":[69],"framework.":[70],"proposed":[72,97],"includes":[75],"treatment":[76],"slips":[79],"which":[80],"can":[81],"limit":[82],"performance":[84],"tracking":[86],"algorithms.":[87,111],"We":[88],"show":[89],"simulation":[90],"results":[91],"complexity":[93],"analysis":[94],"demonstrating":[99],"its":[100],"superiority":[101],"some":[103],"current":[106],"state":[107],"art":[110]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
