{"id":"https://openalex.org/W2089467210","doi":"https://doi.org/10.1109/acssc.2014.7094428","title":"Whitening 1/f-type noise in electroencephalogram signals for steady-state visual evoked potential brain-computer interfaces","display_name":"Whitening 1/f-type noise in electroencephalogram signals for steady-state visual evoked potential brain-computer interfaces","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2089467210","doi":"https://doi.org/10.1109/acssc.2014.7094428","mag":"2089467210"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2014.7094428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2014.7094428","pdf_url":null,"source":{"id":"https://openalex.org/S4363608593","display_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2015/1857","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011870495","display_name":"Alan Paris","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Alan Paris","raw_affiliation_strings":["Modeling and Simulation Program"],"affiliations":[{"raw_affiliation_string":"Modeling and Simulation Program","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090323125","display_name":"Azadeh Vosoughi","orcid":"https://orcid.org/0000-0002-1937-2838"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Azadeh Vosoughi","raw_affiliation_strings":["Dept. of Electrical Engineering and Computer Science, University of Central Florida","Department of Electrical, Engineering and Computer science, University of Central Florida#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, University of Central Florida","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Department of Electrical, Engineering and Computer science, University of Central Florida#TAB#","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003612688","display_name":"George Atia","orcid":"https://orcid.org/0000-0001-7958-9855"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Atia","raw_affiliation_strings":["Dept. of Electrical Engineering and Computer Science, University of Central Florida","Department of Electrical, Engineering and Computer science, University of Central Florida#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, University of Central Florida","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"Department of Electrical, Engineering and Computer science, University of Central Florida#TAB#","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011870495"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0348,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8516129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"204","last_page":"207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9993000030517578,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6703368425369263},{"id":"https://openalex.org/keywords/octave","display_name":"Octave (electronics)","score":0.6519136428833008},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5999745726585388},{"id":"https://openalex.org/keywords/rectification","display_name":"Rectification","score":0.5638341903686523},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5472937226295471},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5444059371948242},{"id":"https://openalex.org/keywords/visual-evoked-potentials","display_name":"Visual evoked potentials","score":0.4994673728942871},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48777657747268677},{"id":"https://openalex.org/keywords/evoked-potential","display_name":"Evoked potential","score":0.481356680393219},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4691666066646576},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.4297049045562744},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.4137461483478546},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3199211657047272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31027913093566895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15158316493034363},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12084421515464783}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6703368425369263},{"id":"https://openalex.org/C85841341","wikidata":"https://www.wikidata.org/wiki/Q1135984","display_name":"Octave (electronics)","level":2,"score":0.6519136428833008},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5999745726585388},{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.5638341903686523},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5472937226295471},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5444059371948242},{"id":"https://openalex.org/C3018323323","wikidata":"https://www.wikidata.org/wiki/Q618678","display_name":"Visual evoked potentials","level":2,"score":0.4994673728942871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48777657747268677},{"id":"https://openalex.org/C2778823896","wikidata":"https://www.wikidata.org/wiki/Q618678","display_name":"Evoked potential","level":2,"score":0.481356680393219},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4691666066646576},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.4297049045562744},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.4137461483478546},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3199211657047272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31027913093566895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15158316493034363},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12084421515464783},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/acssc.2014.7094428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2014.7094428","pdf_url":null,"source":{"id":"https://openalex.org/S4363608593","display_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 48th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-2856","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/1857","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-2856","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/1857","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1997983983","https://openalex.org/W2012510869","https://openalex.org/W2025867113","https://openalex.org/W2055264244","https://openalex.org/W2060004431","https://openalex.org/W2060607110","https://openalex.org/W2127389037","https://openalex.org/W4235855252"],"related_works":["https://openalex.org/W3149578378","https://openalex.org/W3022635403","https://openalex.org/W2111017359","https://openalex.org/W2470582703","https://openalex.org/W2354295199","https://openalex.org/W2998491768","https://openalex.org/W1968036854","https://openalex.org/W2080859999","https://openalex.org/W2404558322","https://openalex.org/W2995072435"],"abstract_inverted_index":{"A":[0],"method":[1],"is":[2,42],"proposed":[3],"to":[4,21],"whiten":[5],"1-f-type":[6],"background":[7],"noise":[8,48],"in":[9],"electroencephalogram":[10],"data":[11],"by":[12],"a":[13,22],"nonlinear":[14],"spectral":[15,40],"transformation":[16],"from":[17],"the":[18,28],"frequency":[19],"domain":[20],"newly-defined":[23],"\u221d-pitch":[24],"domain.":[25],"Based":[26],"on":[27],"\u03b1-pitch":[29],"spectra":[30],"of":[31],"steady-state":[32],"visual":[33],"evoked":[34],"potentials,":[35],"an":[36],"algorithm":[37],"called":[38],"octave-averaged":[39],"rectification":[41],"applied":[43],"which":[44],"simultaneously":[45],"attenuates":[46],"1-f":[47],"while":[49],"enhancing":[50],"resonance":[51],"peaks.":[52],"This":[53],"has":[54],"important":[55],"potential":[56],"benefits":[57],"for":[58],"gamma-band":[59],"brain-computer":[60],"interfaces.":[61]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}