{"id":"https://openalex.org/W1516118512","doi":"https://doi.org/10.1109/pimrc.2014.7136256","title":"The analysis of estimation error of non-causal training based on a unified error model","display_name":"The analysis of estimation error of non-causal training based on a unified error model","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W1516118512","doi":"https://doi.org/10.1109/pimrc.2014.7136256","mag":"1516118512"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2014.7136256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5064309601","display_name":"Mengbing Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengbing Xia","raw_affiliation_strings":["Dept. of Electronic Engineering & Information Science, University of Science and Technology of China, Hefei, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic Engineering & Information Science, University of Science and Technology of China, Hefei, China#TAB#","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379216","display_name":"Li Chen","orcid":"https://orcid.org/0000-0002-1754-0607"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Chen","raw_affiliation_strings":["Dept. of Electronic Engineering & Information Science, University of Science and Technology of China, Hefei, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic Engineering & Information Science, University of Science and Technology of China, Hefei, China#TAB#","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432932","display_name":"Weidong Wang","orcid":"https://orcid.org/0000-0002-3550-0625"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Wang","raw_affiliation_strings":["Dept. of Electronic Engineering & Information Science, University of Science and Technology of China, Hefei, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic Engineering & Information Science, University of Science and Technology of China, Hefei, China#TAB#","institution_ids":["https://openalex.org/I126520041"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":66},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10125","display_name":"Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing","score":0.9999,"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/T10125","display_name":"Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing","score":0.9999,"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/T10575","display_name":"Efficient Power Control in Wireless Networks","score":0.9993,"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/T10148","display_name":"Next Generation 5G Wireless Networks","score":0.9986,"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/channel-estimation","display_name":"Channel Estimation","score":0.643182},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.54537225},{"id":"https://openalex.org/keywords/channel-assignment","display_name":"Channel Assignment","score":0.531659},{"id":"https://openalex.org/keywords/fading-channels","display_name":"fading channels","score":0.529987}],"concepts":[{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7444739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73462796},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5565434},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.54537225},{"id":"https://openalex.org/C56985126","wikidata":"https://www.wikidata.org/wiki/Q854039","display_name":"Rayleigh fading","level":4,"score":0.54477274},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5180164},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.51207644},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.49015412},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.45953158},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.39949656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28794023},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14619899},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08599514},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2014.7136256","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":15,"referenced_works":["https://openalex.org/W1965392255","https://openalex.org/W2028574566","https://openalex.org/W2056414370","https://openalex.org/W2056463285","https://openalex.org/W2072630678","https://openalex.org/W2099176206","https://openalex.org/W2106929598","https://openalex.org/W2109984336","https://openalex.org/W2133203703","https://openalex.org/W2137917773","https://openalex.org/W2140968586","https://openalex.org/W2142485717","https://openalex.org/W2163754837","https://openalex.org/W3147584758","https://openalex.org/W4206180546"],"related_works":["https://openalex.org/W301676527","https://openalex.org/W2942696422","https://openalex.org/W289296924","https://openalex.org/W2124541664","https://openalex.org/W2116044594","https://openalex.org/W2109988226","https://openalex.org/W2101999641","https://openalex.org/W2052600062","https://openalex.org/W1597025424","https://openalex.org/W1503152075"],"abstract_inverted_index":{"An":[0],"important":[1],"problem":[2],"in":[3,32,95,105,123,134],"channel":[4,22,38,84],"estimation":[5,23,107,120],"of":[6,15,49,69,82,129],"time-varying":[7,34],"channels":[8,17,56],"is":[9,63,125],"how":[10],"to":[11,53],"reduce":[12],"the":[13,16,21,42,46,55,67,70,78,83,92,116,119],"influence":[14],"time":[18],"variation":[19],"on":[20],"error.":[24],"And":[25,113],"previous":[26],"works":[27],"give":[28],"us":[29],"some":[30],"hints":[31],"a":[33,50,60,126],"Gauss-Markov":[35],"Rayleigh":[36],"fading":[37],"by":[39,76],"using":[40],"both":[41,106],"training":[43,61,68],"sequences":[44],"at":[45],"each":[47],"boundaries":[48],"data":[51],"sequence":[52,62],"train":[54],"in-between,":[57],"while":[58],"traditionally":[59],"only":[64],"intended":[65],"for":[66],"upcoming":[71],"channels.":[72],"In":[73],"this":[74],"paper,":[75],"analyzing":[77],"source":[79],"and":[80,97,109],"expression":[81],"estimation,":[85],"we":[86,98,114],"compare":[87],"our":[88,101,130],"error":[89,121,132],"model":[90,93,122,133],"with":[91],"given":[94],"[11]":[96,124],"find":[99],"that":[100,118],"strategy":[102],"outperforms":[103],"it":[104],"quality":[108],"capacity":[110],"lower":[111],"bound.":[112],"reach":[115],"conclusion":[117],"special":[127],"case":[128],"unified":[131],"high":[135],"SNR":[136],"scenario.":[137]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1516118512","counts_by_year":[],"updated_date":"2024-09-26T17:13:47.475663","created_date":"2016-06-24"}