{"id":"https://openalex.org/W2594481050","doi":"https://doi.org/10.1109/mwscas.2016.7870054","title":"Blind sparse channel identification using subspace-based algorithm","display_name":"Blind sparse channel identification using subspace-based algorithm","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2594481050","doi":"https://doi.org/10.1109/mwscas.2016.7870054","mag":"2594481050"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas.2016.7870054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2016.7870054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS)","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/A5053614553","display_name":"Nicthe Nataly Jimenez","orcid":null},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Nicthe Nataly Jimenez","raw_affiliation_strings":["Department of Electronics, Institute INAOE, Puebla, Mexico"],"affiliations":[{"raw_affiliation_string":"Department of Electronics, Institute INAOE, Puebla, Mexico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105413931","display_name":"Alfonso Fernandez-Vazquez","orcid":null},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Alfonso Fernandez-Vazquez","raw_affiliation_strings":["Escuela Superior de C\u00f3mputo, Instituto Polit\u00e8cnico Nacional, Mexico City"],"affiliations":[{"raw_affiliation_string":"Escuela Superior de C\u00f3mputo, Instituto Polit\u00e8cnico Nacional, Mexico City","institution_ids":["https://openalex.org/I59361560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056974264","display_name":"Gordana Jovanovi\u0107 Dole\u010dek","orcid":"https://orcid.org/0000-0003-1258-5176"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Gordana Jovanovic Dolecek","raw_affiliation_strings":["Department of Electronics, Institute INAOE, Puebla, Mexico"],"affiliations":[{"raw_affiliation_string":"Department of Electronics, Institute INAOE, Puebla, Mexico","institution_ids":["https://openalex.org/I39824353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053614553"],"corresponding_institution_ids":["https://openalex.org/I39824353"],"apc_list":null,"apc_paid":null,"fwci":0.2522,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58532809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9987999796867371,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7970472574234009},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.672715425491333},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6295543909072876},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6140188574790955},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5786306858062744},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5779595375061035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.567090630531311},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4351702630519867},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3366638720035553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26090866327285767},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14537253975868225},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09214696288108826}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7970472574234009},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.672715425491333},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6295543909072876},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6140188574790955},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5786306858062744},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5779595375061035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.567090630531311},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4351702630519867},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3366638720035553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26090866327285767},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14537253975868225},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09214696288108826},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas.2016.7870054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2016.7870054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS)","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":18,"referenced_works":["https://openalex.org/W1548553108","https://openalex.org/W1595120382","https://openalex.org/W1608525392","https://openalex.org/W1971986480","https://openalex.org/W1998795630","https://openalex.org/W2008943098","https://openalex.org/W2030335664","https://openalex.org/W2053716963","https://openalex.org/W2069489543","https://openalex.org/W2118297240","https://openalex.org/W2129108650","https://openalex.org/W2131665779","https://openalex.org/W2135241014","https://openalex.org/W2158832052","https://openalex.org/W2168625863","https://openalex.org/W2172201990","https://openalex.org/W2270233494","https://openalex.org/W2289917018"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2364594919","https://openalex.org/W2075768550","https://openalex.org/W3022218857","https://openalex.org/W2167092671","https://openalex.org/W2369178846","https://openalex.org/W1861706286","https://openalex.org/W2370289839","https://openalex.org/W2219338811","https://openalex.org/W2149583853"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,19,33,41,47,51,58,67,70,88,91],"problem":[4],"of":[5,18,53,69,90,101],"blind":[6,21,29],"channel":[7,11,22,30,78],"identification":[8,23,31,52],"under":[9,76],"sparse":[10,54,77],"condition.":[12],"Our":[13],"approach":[14,103],"is":[15,35],"an":[16],"extension":[17,49],"subspace":[20],"methods.":[24],"Unlike":[25],"previous":[26,74],"approaches":[27],"for":[28],"where":[32],"optimization":[34],"in":[36,84],"least":[37],"square":[38],"sense,":[39],"i.e.,":[40],"L":[42],"<sub":[43],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[44],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[45],"norm,":[46],"proposed":[48,71,92],"includes":[50],"channels":[55],"and":[56,97],"uses":[57],"Li":[59],"norm.":[60],"By":[61],"doing":[62],"so,":[63],"we":[64],"show":[65],"that":[66],"performance":[68],"method":[72],"outperforms":[73],"approach,":[75],"conditions.":[79],"Numerical":[80],"examples":[81],"are":[82,104],"included":[83],"order":[85],"to":[86],"demonstrate":[87],"effectiveness":[89],"approach.":[93],"Bit":[94],"Error":[95],"Rate":[96],"normalized":[98],"error":[99],"performances":[100],"our":[102],"also":[105],"included.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
