{"id":"https://openalex.org/W2505556102","doi":"https://doi.org/10.1109/lsp.2016.2593058","title":"Variational Inference-Based Frequency-Domain Equalization for Faster-Than-Nyquist Signaling in Doubly Selective Channels","display_name":"Variational Inference-Based Frequency-Domain Equalization for Faster-Than-Nyquist Signaling in Doubly Selective Channels","publication_year":2016,"publication_date":"2016-07-19","ids":{"openalex":"https://openalex.org/W2505556102","doi":"https://doi.org/10.1109/lsp.2016.2593058","mag":"2505556102"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2016.2593058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2593058","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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 Signal Processing Letters","raw_type":"journal-article"},"type":"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/A5011236120","display_name":"Weijie Yuan","orcid":"https://orcid.org/0000-0002-2158-0046"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijie Yuan","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051859982","display_name":"Nan Wu","orcid":"https://orcid.org/0000-0002-4982-2975"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Wu","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403944","display_name":"Hua Wang","orcid":"https://orcid.org/0000-0002-3660-4290"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Wang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103540968","display_name":"Jingming Kuang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingming Kuang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011236120"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":4.4104,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.94831367,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"23","issue":"9","first_page":"1270","last_page":"1274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11873","display_name":"PAPR reduction in OFDM","score":1.0,"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/T11873","display_name":"PAPR reduction in OFDM","score":1.0,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9998000264167786,"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/T11248","display_name":"Advanced Power Amplifier Design","score":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.7479797601699829},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6239064931869507},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.6127704977989197},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6072511076927185},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5518909692764282},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5480126142501831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49322718381881714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47526639699935913},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.4436124265193939},{"id":"https://openalex.org/keywords/equalizer","display_name":"Equalizer","score":0.4170488715171814},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.17461290955543518},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1556289792060852},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.12856072187423706}],"concepts":[{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.7479797601699829},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6239064931869507},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.6127704977989197},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6072511076927185},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5518909692764282},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5480126142501831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49322718381881714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47526639699935913},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.4436124265193939},{"id":"https://openalex.org/C67545415","wikidata":"https://www.wikidata.org/wiki/Q5384218","display_name":"Equalizer","level":3,"score":0.4170488715171814},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.17461290955543518},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1556289792060852},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.12856072187423706},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2016.2593058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2016.2593058","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5788239063","display_name":null,"funder_award_id":"61201181","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6164718060","display_name":null,"funder_award_id":"61471037","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1950848998","https://openalex.org/W1980948440","https://openalex.org/W1994767793","https://openalex.org/W2013388110","https://openalex.org/W2015658353","https://openalex.org/W2032046013","https://openalex.org/W2052867047","https://openalex.org/W2062260987","https://openalex.org/W2068329841","https://openalex.org/W2074573300","https://openalex.org/W2093664793","https://openalex.org/W2098201500","https://openalex.org/W2119531925","https://openalex.org/W2120340025","https://openalex.org/W2139906675","https://openalex.org/W2147920745","https://openalex.org/W2148608560","https://openalex.org/W2150179603","https://openalex.org/W2151718025","https://openalex.org/W2156788281","https://openalex.org/W2169415915","https://openalex.org/W2963457630","https://openalex.org/W4231458249","https://openalex.org/W4243287834","https://openalex.org/W4293052541"],"related_works":["https://openalex.org/W2088013790","https://openalex.org/W2588059610","https://openalex.org/W2069508550","https://openalex.org/W2048154502","https://openalex.org/W2124153358","https://openalex.org/W2766982571","https://openalex.org/W1510161856","https://openalex.org/W3013057323","https://openalex.org/W2966197322","https://openalex.org/W2124301753"],"abstract_inverted_index":{"This":[0],"work":[1],"deals":[2],"with":[3,55,96,122],"frequency-domain":[4,20,79],"equalization":[5],"for":[6,107],"faster-than-Nyquist":[7],"(FTN)":[8],"signaling":[9,109],"in":[10,32,119],"doubly":[11],"selective":[12],"channels":[13],"(DSCs).":[14],"To":[15,34],"handle":[16],"the":[17,22,36,56,59,65,78,88,91,97,104,116],"interference":[18,84],"of":[19,68,77,90],"symbols,":[21],"minimum":[23],"mean":[24,48],"square":[25],"error":[26],"(MMSE)":[27],"equalizer":[28,118],"involves":[29],"high":[30],"complexity":[31,89],"DSCs.":[33],"overcome":[35],"problem,":[37],"we":[38],"propose":[39],"low-complexity":[40],"receivers":[41],"based":[42],"on":[43],"two":[44],"variational":[45],"methods,":[46],"i.e.,":[47],"field":[49],"(MF)":[50],"and":[51],"Bethe":[52,60],"approximations.":[53],"Compared":[54],"MF":[57],"method,":[58],"approximation":[61],"takes":[62],"into":[63],"account":[64],"conditional":[66],"dependencies":[67],"pairwise":[69],"symbols.":[70],"By":[71],"only":[72],"considering":[73],"a":[74],"small":[75],"set":[76],"symbols":[80],"that":[81,103],"have":[82],"strong":[83],"to":[85,112,115],"each":[86],"other,":[87],"proposed":[92,105],"algorithms":[93,106],"increases":[94],"linearly":[95],"block":[98],"length.":[99],"Simulation":[100],"results":[101],"demonstrate":[102],"FTN":[108],"are":[110],"able":[111],"perform":[113],"close":[114],"MMSE":[117],"DSCs":[120],"while":[121],"significantly":[123],"reduced":[124],"computational":[125],"complexity.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":9}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}