{"id":"https://openalex.org/W2995904180","doi":"https://doi.org/10.1109/tvt.2019.2955998","title":"Iterative Processing Structure for the Single-Channel Mixture of Digital-Modulated Adjacent-Frequency Source Signals","display_name":"Iterative Processing Structure for the Single-Channel Mixture of Digital-Modulated Adjacent-Frequency Source Signals","publication_year":2019,"publication_date":"2019-12-09","ids":{"openalex":"https://openalex.org/W2995904180","doi":"https://doi.org/10.1109/tvt.2019.2955998","mag":"2995904180"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2019.2955998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2955998","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Transactions on Vehicular Technology","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/A5103091071","display_name":"Yang Yong","orcid":"https://orcid.org/0000-0002-7737-0400"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Yang","raw_affiliation_strings":["National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7737-0400","affiliations":[{"raw_affiliation_string":"National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009162241","display_name":"Hua Peng","orcid":"https://orcid.org/0000-0001-5761-3535"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua Peng","raw_affiliation_strings":["National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040688900","display_name":"Dongling Zhang","orcid":"https://orcid.org/0000-0001-6623-588X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongling Zhang","raw_affiliation_strings":["National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Peng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["Beijing Hualongtong Technology Co., Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Hualongtong Technology Co., Ltd., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1636,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.46990901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"69","issue":"2","first_page":"1639","last_page":"1650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.7927868366241455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7288157939910889},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6689494848251343},{"id":"https://openalex.org/keywords/maximum-likelihood-sequence-estimation","display_name":"Maximum likelihood sequence estimation","score":0.5921761393547058},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5819514989852905},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.5499982237815857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5467024445533752},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5390583276748657},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.518122136592865},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4790590703487396},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.4778028130531311},{"id":"https://openalex.org/keywords/trellis","display_name":"Trellis (graph)","score":0.4575797915458679},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.44309699535369873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.338639497756958},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3352569341659546},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.32342809438705444},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.2644900679588318},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22049090266227722},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12538453936576843}],"concepts":[{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.7927868366241455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7288157939910889},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6689494848251343},{"id":"https://openalex.org/C191462741","wikidata":"https://www.wikidata.org/wiki/Q6795902","display_name":"Maximum likelihood sequence estimation","level":3,"score":0.5921761393547058},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5819514989852905},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.5499982237815857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5467024445533752},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5390583276748657},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.518122136592865},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4790590703487396},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.4778028130531311},{"id":"https://openalex.org/C2781235587","wikidata":"https://www.wikidata.org/wiki/Q7838009","display_name":"Trellis (graph)","level":3,"score":0.4575797915458679},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.44309699535369873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.338639497756958},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3352569341659546},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.32342809438705444},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2644900679588318},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22049090266227722},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12538453936576843},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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":1,"locations":[{"id":"doi:10.1109/tvt.2019.2955998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2019.2955998","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G7046072648","display_name":null,"funder_award_id":"61401511","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1500947043","https://openalex.org/W1966331286","https://openalex.org/W1979410160","https://openalex.org/W2026755635","https://openalex.org/W2036415965","https://openalex.org/W2066308881","https://openalex.org/W2068647350","https://openalex.org/W2075390369","https://openalex.org/W2080550094","https://openalex.org/W2109655201","https://openalex.org/W2116421294","https://openalex.org/W2124681992","https://openalex.org/W2133154343","https://openalex.org/W2137044065","https://openalex.org/W2141277150","https://openalex.org/W2141687516","https://openalex.org/W2151574046","https://openalex.org/W2154914373","https://openalex.org/W2156434076","https://openalex.org/W2161062000","https://openalex.org/W2163834562","https://openalex.org/W2165893202","https://openalex.org/W2166824919","https://openalex.org/W2168073887","https://openalex.org/W2169976238","https://openalex.org/W2281465390","https://openalex.org/W2293147534","https://openalex.org/W2546702590","https://openalex.org/W6667709575","https://openalex.org/W6684221838"],"related_works":["https://openalex.org/W2590541506","https://openalex.org/W1511547174","https://openalex.org/W2114343754","https://openalex.org/W2383340439","https://openalex.org/W1502762136","https://openalex.org/W2147640366","https://openalex.org/W2160092581","https://openalex.org/W3045295533","https://openalex.org/W1563531312","https://openalex.org/W2995904180"],"abstract_inverted_index":{"Considering":[0],"the":[1,30,40,88,96,103,109,112,116,124,129,134,148,152,157,168,172,175,179],"high":[2],"cost":[3],"and":[4,55,105,183,195],"complexity":[5,135,155,182],"of":[6,18,42,87,108,128,136,144,156,167,191],"multiple-channel":[7],"blind":[8,69],"source":[9,21],"separation,":[10],"single-channel":[11,68],"solutions":[12],"have":[13,62],"elicited":[14],"a":[15,35,185],"significant":[16],"amount":[17],"interest":[19],"in":[20,79,115],"separation.":[22,71],"Joint":[23],"maximum":[24],"likelihood":[25,126],"sequence":[26,52,59],"estimation":[27,53,60],"implemented":[28],"by":[29],"Viterbi":[31],"algorithm":[32,177],"(VA)":[33],"is":[34,77,132,139],"seemingly":[36],"ultimate":[37],"solution":[38],"to":[39,67,101,189],"problem":[41],"data":[43],"transmission":[44],"over":[45],"dispersive":[46],"channels.":[47],"However,":[48],"both":[49],"joint":[50,56,73,84],"reduced-state":[51],"(JRSSE)":[54],"delayed-decision":[57],"feedback":[58],"(JDDFSE)":[61],"numerous":[63],"shortcomings":[64],"when":[65],"applied":[66],"signal":[70],"Hence,":[72,151],"double-direction":[74],"DDFSE":[75],"(JDD-DDFSE)":[76],"proposed":[78,176],"this":[80,137],"article.":[81],"JDD-DDFSE":[82],"employs":[83],"VA":[85,146],"(JVA)":[86],"low-order":[89],"channel":[90,110],"twice.":[91],"The":[92],"estimated":[93,130],"symbols":[94,131],"from":[95],"initial":[97],"JVA":[98],"are":[99],"utilized":[100],"equalize":[102],"causal":[104],"non-causal":[106,173],"taps":[107],"beyond":[111],"trellis":[113],"state":[114],"second":[117],"JVA.":[118],"A":[119],"method":[120,138],"that":[121,143,166,190],"can":[122],"derive":[123],"log":[125],"ratio":[127],"provided;":[133],"considerably":[140],"lower":[141],"than":[142],"soft-output":[145],"or":[147],"BCJR":[149],"algorithm.":[150],"entire":[153],"computation":[154,181],"iterative":[158],"separation":[159,186],"structure":[160],"basically":[161],"remains":[162],"unchanged":[163],"compared":[164],"with":[165],"no-iteration":[169],"structure.":[170],"For":[171],"channel,":[174],"has":[178],"lowest":[180],"demonstrates":[184],"performance":[187],"similar":[188],"conventional":[192],"JVA,":[193],"JRSSE,":[194],"JDDFSE":[196],"algorithms.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}