{"id":"https://openalex.org/W2542982734","doi":"https://doi.org/10.1109/icecs.2003.1302045","title":"A blind method for SIMO channel identification and equalization","display_name":"A blind method for SIMO channel identification and equalization","publication_year":2004,"publication_date":"2004-06-03","ids":{"openalex":"https://openalex.org/W2542982734","doi":"https://doi.org/10.1109/icecs.2003.1302045","mag":"2542982734"},"language":"en","primary_location":{"id":"doi:10.1109/icecs.2003.1302045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs.2003.1302045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th IEEE International Conference on Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003","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/A5081876745","display_name":"Shaoping Chen","orcid":"https://orcid.org/0000-0003-0027-1276"},"institutions":[{"id":"https://openalex.org/I174442536","display_name":"South Central Minzu University","ror":"https://ror.org/03d7sax13","country_code":"CN","type":"education","lineage":["https://openalex.org/I174442536"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoping Chen","raw_affiliation_strings":["Department of Electronic and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China","Department of Electronic and Information Engineering, South Central University of Nationalities, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Department of Electronic and Information Engineering, South Central University of Nationalities, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I174442536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004161682","display_name":"Tianren Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianren Yao","raw_affiliation_strings":["Department of Electronic and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35529756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":null,"first_page":"336","last_page":"339"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9811999797821045,"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"}},{"id":"https://openalex.org/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.979200005531311,"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/subspace-topology","display_name":"Subspace topology","score":0.7563753128051758},{"id":"https://openalex.org/keywords/blind-equalization","display_name":"Blind equalization","score":0.6755547523498535},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6515499353408813},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6419034600257874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6264302134513855},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.597937822341919},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.5331399440765381},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49491995573043823},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4693732261657715},{"id":"https://openalex.org/keywords/equalization","display_name":"Equalization (audio)","score":0.4508792757987976},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.44377297163009644},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4290938675403595},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4114912152290344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22056123614311218},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08542785048484802}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7563753128051758},{"id":"https://openalex.org/C41425797","wikidata":"https://www.wikidata.org/wiki/Q4926640","display_name":"Blind equalization","level":4,"score":0.6755547523498535},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6515499353408813},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6419034600257874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6264302134513855},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.597937822341919},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.5331399440765381},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49491995573043823},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4693732261657715},{"id":"https://openalex.org/C75755367","wikidata":"https://www.wikidata.org/wiki/Q104531076","display_name":"Equalization (audio)","level":3,"score":0.4508792757987976},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.44377297163009644},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4290938675403595},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4114912152290344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22056123614311218},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08542785048484802},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecs.2003.1302045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs.2003.1302045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th IEEE International Conference on Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2097385613","https://openalex.org/W2097987904","https://openalex.org/W2100185294","https://openalex.org/W2111512576","https://openalex.org/W2121202969","https://openalex.org/W2123258152","https://openalex.org/W2136302582","https://openalex.org/W2137358528","https://openalex.org/W2152552797","https://openalex.org/W2159289458","https://openalex.org/W2166239636"],"related_works":["https://openalex.org/W2545553786","https://openalex.org/W2349154090","https://openalex.org/W2993703512","https://openalex.org/W2133621247","https://openalex.org/W2186363603","https://openalex.org/W2384751807","https://openalex.org/W2118910124","https://openalex.org/W2381494073","https://openalex.org/W5068284","https://openalex.org/W2100151641"],"abstract_inverted_index":{"Subspace":[0],"(SS)":[1],"methods":[2,53],"are":[3,63,138,165],"effective":[4],"approaches":[5],"for":[6,10],"blind":[7,74],"channel":[8,39,59,75,108],"identification,":[9],"they":[11,32,62],"achieve":[12,148],"a":[13,45,73],"good":[14],"performance":[15,96],"with":[16,133,151],"relatively":[17],"short":[18],"data":[19],"lengths":[20],"and":[21,77,89,111,162],"work":[22],"well":[23],"at":[24],"low":[25],"signal":[26,143],"to":[27,65,107,114,147,167],"noise":[28,116,141],"ratio":[29],"(SNR).":[30],"However,":[31],"require":[33,124],"the":[34,38,56,82,94,99,120,125,128,139,152],"accurate":[35],"knowledge":[36],"of":[37,58,85,127],"order,":[40],"which":[41],"is":[42,97,105,157],"difficult":[43],"in":[44,101],"noisy":[46],"environment.":[47],"Although":[48,93],"linear":[49,134],"prediction":[50,135],"(LP)":[51],"based":[52,80],"can":[54],"handle":[55],"problem":[57],"order":[60,109],"overestimation,":[61],"sensitive":[64,113],"observation":[66,115],"noise.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"proposed":[72],"identification":[76,149],"equalization":[78],"algorithm,":[79],"on":[81],"eigen":[83,144],"analysis":[84,161],"shifted":[86],"correlation":[87,129],"matrices":[88],"their":[90],"associated":[91],"properties.":[92],"algorithm's":[95],"not":[98,112,123],"optimal":[100],"some":[102],"cases,":[103],"it":[104,156],"robust":[106],"overestimation":[110],"as":[117,132,150],"well.":[118],"Furthermore,":[119],"algorithm":[121],"does":[122],"computation":[126],"matrix":[130],"pseudo-inverse,":[131],"algorithms,":[136],"nor":[137],"whole":[140],"or":[142],"vectors":[145],"necessary":[146],"subspace":[153],"algorithm.":[154],"So":[155],"computationally":[158],"efficient.":[159],"Theoretical":[160],"simulation":[163],"results":[164],"provided":[166],"verify":[168],"these":[169],"facts.":[170]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
