{"id":"https://openalex.org/W2786378417","doi":"https://doi.org/10.1109/apsipa.2017.8282323","title":"Signal detection with belief propagation in Faster-than-Nyquist signaling","display_name":"Signal detection with belief propagation in Faster-than-Nyquist signaling","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2786378417","doi":"https://doi.org/10.1109/apsipa.2017.8282323","mag":"2786378417"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2017.8282323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-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/A5056968646","display_name":"Kihara Kotaro","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kotaro Kihara","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University Kita, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University Kita, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058947969","display_name":"Toshihiko Nishimura","orcid":"https://orcid.org/0000-0002-4759-2483"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshihiko Nishimura","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University Kita, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University Kita, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064930134","display_name":"Takeo Ohgane","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeo Ohgane","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University Kita, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University Kita, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102847414","display_name":"Yasutaka Ogawa","orcid":"https://orcid.org/0000-0002-9835-9948"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasutaka Ogawa","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University Kita, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University Kita, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056968646"],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.1934075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"e98 b","issue":null,"first_page":"1790","last_page":"1794"},"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/T11458","display_name":"Advanced Wireless Communication Technologies","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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9993000030517578,"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/factor-graph","display_name":"Factor graph","score":0.7257828116416931},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.7057650089263916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6424227952957153},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5632531642913818},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5281515121459961},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.4893645644187927},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.47532323002815247},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.42977383732795715},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.42410731315612793},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28359732031822205},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10943353176116943}],"concepts":[{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.7257828116416931},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.7057650089263916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6424227952957153},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5632531642913818},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5281515121459961},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.4893645644187927},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.47532323002815247},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.42977383732795715},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.42410731315612793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28359732031822205},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10943353176116943},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2017.8282323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W612111850","https://openalex.org/W1973902799","https://openalex.org/W2027563534","https://openalex.org/W2055923209","https://openalex.org/W2059784185","https://openalex.org/W2070707548","https://openalex.org/W2083213425","https://openalex.org/W2106904642","https://openalex.org/W2112318594","https://openalex.org/W2599148673","https://openalex.org/W3159913259"],"related_works":["https://openalex.org/W3152713649","https://openalex.org/W3009052662","https://openalex.org/W26187695","https://openalex.org/W2122977448","https://openalex.org/W2124250880","https://openalex.org/W2114758843","https://openalex.org/W2150312244","https://openalex.org/W4301665663","https://openalex.org/W1981023414","https://openalex.org/W2143515091"],"abstract_inverted_index":{"Faster-than-Nyquist":[0],"(FTN)":[1],"signaling":[2],"is":[3,37,52,107,141],"one":[4],"of":[5],"the":[6,17,32,78,82,86,100,113,138],"approaches":[7],"that":[8,137],"improve":[9,112],"spectrum":[10],"efficiency":[11],"by":[12,144],"transmitting":[13],"symbols":[14],"faster":[15],"than":[16],"Nyquist":[18],"rate.":[19],"However,":[20,74],"it":[21],"suffers":[22],"from":[23],"inter-carrier":[24],"interference":[25,29],"(ICI)":[26],"and":[27,34,94],"inter-block":[28],"(IBI).":[30],"Thus,":[31,104],"ICI":[33],"IBI":[35],"canceller":[36],"needed":[38],"at":[39],"a":[40,122,126],"receiver.":[41],"In":[42],"this":[43,145],"paper,":[44],"signal":[45,66,84],"detection":[46,67],"based":[47],"on":[48],"belief":[49],"propagation":[50],"(BP)":[51],"applied":[53],"to":[54,81,124],"FTN":[55,83],"symbol":[56],"detection.":[57],"The":[58,133],"BP":[59,79],"algorithm":[60,80],"provides":[61],"very":[62],"high":[63],"performance":[64,115],"in":[65,99,116],"with":[68],"large":[69],"scale":[70,125],"random":[71],"factor":[72,87],"graphs.":[73],"when":[75],"we":[76,120],"apply":[77],"detection,":[85],"graph":[88],"has":[89],"many":[90],"short":[91],"loops":[92],"locally,":[93],"randomness":[95],"cannot":[96],"be":[97],"found":[98],"edge":[101],"strength":[102],"distribution.":[103],"proper":[105],"convergence":[106,114],"not":[108],"always":[109],"expected.":[110],"To":[111],"such":[117],"an":[118],"environment,":[119],"propose":[121],"technique":[123],"posteriori":[127],"LLR":[128,146],"values":[129],"before":[130],"channel":[131],"decoding.":[132],"simulation":[134],"results":[135],"show":[136],"error":[139],"floor":[140],"significantly":[142],"reduced":[143],"scaling.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}