{"id":"https://openalex.org/W2588589998","doi":"https://doi.org/10.1155/2017/3927486","title":"Noise Attenuation Estimation for Maximum Length Sequences in Deconvolution Process of Auditory Evoked Potentials","display_name":"Noise Attenuation Estimation for Maximum Length Sequences in Deconvolution Process of Auditory Evoked Potentials","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2588589998","doi":"https://doi.org/10.1155/2017/3927486","mag":"2588589998","pmid":"https://pubmed.ncbi.nlm.nih.gov/28316637"},"language":"en","primary_location":{"id":"doi:10.1155/2017/3927486","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/3927486","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2017/3927486.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/cmmm/2017/3927486.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102786920","display_name":"Xian Peng","orcid":"https://orcid.org/0000-0003-1346-0594"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Peng","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0003-1346-0594","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053189794","display_name":"Yuner Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun\u2019er Chen","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-7683-8067","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072654239","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-9715-9389"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-9715-9389","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101654842","display_name":"Lei Ding","orcid":"https://orcid.org/0000-0003-2277-267X"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Ding","raw_affiliation_strings":["Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USA"],"raw_orcid":"https://orcid.org/0000-0003-2277-267X","affiliations":[{"raw_affiliation_string":"Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086506015","display_name":"Xiaodan Tan","orcid":"https://orcid.org/0000-0002-4005-3022"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaodan Tan","raw_affiliation_strings":["School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-4005-3022","affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I58200834"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086506015"],"corresponding_institution_ids":["https://openalex.org/I58200834"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.56,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6328509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2017","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9991000294685364,"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":0.9975000023841858,"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/deconvolution","display_name":"Deconvolution","score":0.8181145191192627},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6502690315246582},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.6299635767936707},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6284514665603638},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.595341145992279},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.556473970413208},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5426999926567078},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.530983030796051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34831559658050537},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.24737116694450378},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1902531385421753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12245333194732666},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08446556329727173},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0834152102470398}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8181145191192627},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6502690315246582},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.6299635767936707},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6284514665603638},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.595341145992279},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.556473970413208},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5426999926567078},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.530983030796051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34831559658050537},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.24737116694450378},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1902531385421753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12245333194732666},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08446556329727173},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0834152102470398},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000161","descriptor_name":"Acoustic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000161","descriptor_name":"Acoustic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000161","descriptor_name":"Acoustic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005072","descriptor_name":"Evoked Potentials, Auditory","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005072","descriptor_name":"Evoked Potentials, Auditory","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005072","descriptor_name":"Evoked Potentials, Auditory","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009622","descriptor_name":"Noise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009622","descriptor_name":"Noise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009622","descriptor_name":"Noise","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D064368","descriptor_name":"Healthy Volunteers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D064368","descriptor_name":"Healthy Volunteers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D064368","descriptor_name":"Healthy Volunteers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2017/3927486","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/3927486","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2017/3927486.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:28316637","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28316637","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:2c1ad22bd65d4d1588b26e9e37ac49a9","is_oa":true,"landing_page_url":"https://doaj.org/article/2c1ad22bd65d4d1588b26e9e37ac49a9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational and Mathematical Methods in Medicine, Vol 2017 (2017)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4206661","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5337798","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2017/3927486","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/3927486","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2017/3927486.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1302835428","display_name":null,"funder_award_id":"ECCS-0955260","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1387516838","display_name":null,"funder_award_id":"EPSCoR RII Track-2","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2073698830","display_name":null,"funder_award_id":"0955260","funder_id":"https://openalex.org/F4320337392","funder_display_name":"Division of Electrical, Communications and Cyber Systems"},{"id":"https://openalex.org/G2602550720","display_name":null,"funder_award_id":"NSF CAREER ECCS-0955260","funder_id":"https://openalex.org/F4320337392","funder_display_name":"Division of Electrical, Communications and Cyber Systems"},{"id":"https://openalex.org/G2677174835","display_name":null,"funder_award_id":"A2015074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G292470685","display_name":null,"funder_award_id":"61271154","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3273184557","display_name":null,"funder_award_id":"RII Track-2","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3564331089","display_name":null,"funder_award_id":"CAREER ECCS-0955260","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3840981423","display_name":null,"funder_award_id":"ECCS-0955260","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4087854071","display_name":null,"funder_award_id":"61271154","funder_id":"https://openalex.org/F4320322161","funder_display_name":"Guangdong Medical Research Foundation"},{"id":"https://openalex.org/G4776690180","display_name":null,"funder_award_id":"1539068","funder_id":"https://openalex.org/F4320338283","funder_display_name":"Office of Experimental Program to Stimulate Competitive Research"},{"id":"https://openalex.org/G5135798412","display_name":null,"funder_award_id":"A2015074","funder_id":"https://openalex.org/F4320322161","funder_display_name":"Guangdong Medical Research Foundation"},{"id":"https://openalex.org/G5385574871","display_name":null,"funder_award_id":"1539068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G561647726","display_name":null,"funder_award_id":"A2015074","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6739855257","display_name":null,"funder_award_id":"61271154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6903938789","display_name":"CAREER: Large-Scale Computational Neuroimaging of Brain Electrical Activity","funder_award_id":"0955260","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7315225960","display_name":null,"funder_award_id":"ECCS-0955260","funder_id":"https://openalex.org/F4320322161","funder_display_name":"Guangdong Medical Research Foundation"},{"id":"https://openalex.org/G8180782357","display_name":null,"funder_award_id":"1539068","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8907895973","display_name":null,"funder_award_id":"1539068","funder_id":"https://openalex.org/F4320322161","funder_display_name":"Guangdong Medical Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322161","display_name":"Guangdong Medical Research Foundation","ror":null},{"id":"https://openalex.org/F4320337392","display_name":"Division of Electrical, Communications and Cyber Systems","ror":"https://ror.org/01krpsy48"},{"id":"https://openalex.org/F4320338283","display_name":"Office of Experimental Program to Stimulate Competitive Research","ror":"https://ror.org/04k9mqs78"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2588589998.pdf","grobid_xml":"https://content.openalex.org/works/W2588589998.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1967104055","https://openalex.org/W1968812270","https://openalex.org/W1972987997","https://openalex.org/W1984728972","https://openalex.org/W2006124022","https://openalex.org/W2021765286","https://openalex.org/W2025526269","https://openalex.org/W2028674175","https://openalex.org/W2031019611","https://openalex.org/W2045537535","https://openalex.org/W2050903205","https://openalex.org/W2053417533","https://openalex.org/W2062209086","https://openalex.org/W2068646998","https://openalex.org/W2068650196","https://openalex.org/W2079048828","https://openalex.org/W2089033641","https://openalex.org/W2090990389","https://openalex.org/W2158707513","https://openalex.org/W2158951270","https://openalex.org/W2394671979","https://openalex.org/W2466820387"],"related_works":["https://openalex.org/W4250106855","https://openalex.org/W2037261263","https://openalex.org/W3149087629","https://openalex.org/W4231036715","https://openalex.org/W2032074591","https://openalex.org/W2062605435","https://openalex.org/W1986156575","https://openalex.org/W3193619106","https://openalex.org/W2176016075","https://openalex.org/W4306167235"],"abstract_inverted_index":{"The":[0,168],"use":[1],"of":[2,30,35,149,160],"maximum":[3],"length":[4,159],"sequence":[5],"(m-sequence)":[6],"has":[7],"been":[8,87],"found":[9],"beneficial":[10],"for":[11,174],"recovering":[12],"both":[13],"linear":[14],"and":[15,62,98,116,127,139,153,186],"nonlinear":[16,118],"components":[17],"at":[18],"rapid":[19],"stimulation.":[20],"Since":[21],"m-sequence":[22,45,151,175,191],"is":[23,46,55,146,154],"fully":[24],"characterized":[25],"by":[26,64,156],"a":[27,50,117,172],"primitive":[28],"polynomial":[29,36],"different":[31],"orders,":[32],"the":[33,44,59,65,74,96,102,113,144,150,157],"selection":[34],"order":[37,125,152],"can":[38,178],"be":[39,179],"problematic":[40],"in":[41,49,89,101,189],"practice.":[42],"Usually,":[43],"repetitively":[47],"delivered":[48],"looped":[51],"fashion.":[52],"Ensemble":[53],"averaging":[54,97],"carried":[56],"out":[57],"as":[58,163,165],"first":[60],"step":[61],"followed":[63],"cross-correlation":[66],"analysis":[67],"to":[68,73,111,130,181],"deconvolve":[69],"linear/nonlinear":[70],"responses.":[71],"According":[72],"classical":[75],"noise":[76,82,91],"reduction":[77],"property":[78],"based":[79],"on":[80],"additive":[81],"model,":[83],"theoretical":[84,138],"equations":[85],"have":[86],"derived":[88,114],"measuring":[90],"attenuation":[92],"ratios":[93],"(NARs)":[94],"after":[95],"correlation":[99],"processes":[100],"present":[103,169],"study.":[104],"A":[105],"computer":[106],"simulation":[107],"experiment":[108,120],"was":[109,121],"conducted":[110,123],"test":[112],"equations,":[115],"deconvolution":[119],"also":[122],"using":[124],"7":[126],"9":[128],"m-sequences":[129],"address":[131],"this":[132],"issue":[133],"with":[134],"real":[135],"data.":[136],"Both":[137],"experimental":[140],"results":[141],"show":[142],"that":[143],"NAR":[145],"essentially":[147],"independent":[148],"decided":[155],"total":[158],"valid":[161],"data,":[162],"well":[164],"stimulation":[166],"rate.":[167],"study":[170],"offers":[171],"guideline":[173],"selections,":[176],"which":[177],"used":[180],"estimate":[182],"required":[183],"recording":[184],"time":[185],"signal-to-noise":[187],"ratio":[188],"designing":[190],"experiments.":[192]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
