{"id":"https://openalex.org/W3018987886","doi":"https://doi.org/10.1109/tcsii.2020.2988799","title":"Compressed Principal Component Regression (C\u2013PCR) Algorithm and FPGA Validation","display_name":"Compressed Principal Component Regression (C\u2013PCR) Algorithm and FPGA Validation","publication_year":2020,"publication_date":"2020-04-21","ids":{"openalex":"https://openalex.org/W3018987886","doi":"https://doi.org/10.1109/tcsii.2020.2988799","mag":"3018987886"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2020.2988799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2020.2988799","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-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/A5101659822","display_name":"Hossein Zamani","orcid":"https://orcid.org/0000-0002-3759-9585"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hossein Zamani","raw_affiliation_strings":["Case Western Reserve University, Cleveland, OH, USA"],"raw_orcid":"https://orcid.org/0000-0002-3759-9585","affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, OH, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072044063","display_name":"Hamid Reza Bahrami","orcid":"https://orcid.org/0000-0001-9682-0860"},"institutions":[{"id":"https://openalex.org/I110152177","display_name":"University of Akron","ror":"https://ror.org/02kyckx55","country_code":"US","type":"education","lineage":["https://openalex.org/I110152177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hamid Reza Bahrami","raw_affiliation_strings":["University of Akron, Akron, OH, USA"],"raw_orcid":"https://orcid.org/0000-0001-9682-0860","affiliations":[{"raw_affiliation_string":"University of Akron, Akron, OH, USA","institution_ids":["https://openalex.org/I110152177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020463409","display_name":"Paul A. Garris","orcid":"https://orcid.org/0000-0002-8813-1907"},"institutions":[{"id":"https://openalex.org/I47301684","display_name":"Illinois State University","ror":"https://ror.org/050kcr883","country_code":"US","type":"education","lineage":["https://openalex.org/I47301684"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul A. Garris","raw_affiliation_strings":["School of Biological Sciences, Illinois State University, Normal, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-8813-1907","affiliations":[{"raw_affiliation_string":"School of Biological Sciences, Illinois State University, Normal, IL, USA","institution_ids":["https://openalex.org/I47301684"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024009232","display_name":"Pedram Mohseni","orcid":"https://orcid.org/0000-0002-2849-4677"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pedram Mohseni","raw_affiliation_strings":["Case Western Reserve University, Cleveland, OH, USA"],"raw_orcid":"https://orcid.org/0000-0002-2849-4677","affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, OH, USA","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3601,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5380381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"67","issue":"12","first_page":"3512","last_page":"3516"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.998199999332428,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/principal-component-analysis","display_name":"Principal component analysis","score":0.7133824825286865},{"id":"https://openalex.org/keywords/principal-component-regression","display_name":"Principal component regression","score":0.7087180018424988},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.5736620426177979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5672231912612915},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5413165092468262},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5288004875183105},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5197262763977051},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.47180381417274475},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.46168604493141174},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4596966803073883},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36103731393814087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3467225432395935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3032153248786926},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30053967237472534},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2292560338973999},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11435911059379578}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7133824825286865},{"id":"https://openalex.org/C74887250","wikidata":"https://www.wikidata.org/wiki/Q3455892","display_name":"Principal component regression","level":3,"score":0.7087180018424988},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.5736620426177979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5672231912612915},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5413165092468262},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5288004875183105},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5197262763977051},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.47180381417274475},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.46168604493141174},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4596966803073883},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36103731393814087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3467225432395935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3032153248786926},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30053967237472534},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2292560338973999},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11435911059379578},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/tcsii.2020.2988799","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2020.2988799","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1970932011","https://openalex.org/W1986736933","https://openalex.org/W1989308213","https://openalex.org/W2045591889","https://openalex.org/W2049459393","https://openalex.org/W2064030771","https://openalex.org/W2090898720","https://openalex.org/W2119667497","https://openalex.org/W2124673755","https://openalex.org/W2129812935","https://openalex.org/W2158318157","https://openalex.org/W2158720957","https://openalex.org/W2295404782","https://openalex.org/W2295843258","https://openalex.org/W2319384752","https://openalex.org/W2604852836","https://openalex.org/W2751545355","https://openalex.org/W2751681639","https://openalex.org/W2762715547","https://openalex.org/W2766275382","https://openalex.org/W2789285114","https://openalex.org/W3139860299","https://openalex.org/W4246050513","https://openalex.org/W4248717215","https://openalex.org/W4297571721","https://openalex.org/W4312258136"],"related_works":["https://openalex.org/W2040357294","https://openalex.org/W2370136657","https://openalex.org/W2076584750","https://openalex.org/W2350748373","https://openalex.org/W1976780887","https://openalex.org/W2385092268","https://openalex.org/W2128633900","https://openalex.org/W2063772782","https://openalex.org/W3093872600","https://openalex.org/W2039491306"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,24,36,51,71,89,119],"hardware":[3,115],"and/or":[4],"software":[5],"implementation":[6,116],"issues":[7],"of":[8,54,59,74,78,95,126],"principal":[9],"component":[10],"regression":[11],"(PCR),":[12],"we":[13,99],"propose":[14],"a":[15,28,40,57,81],"novel":[16],"algorithm":[17],"called":[18],"compressed":[19,37],"PCR":[20,43,55,79],"(C-PCR).":[21],"C-PCR":[22,48,75,103],"projects":[23],"input":[25],"data":[26,38],"to":[27,39,128],"lower":[29,50],"dimensional":[30],"space":[31],"first,":[32],"and":[33],"then":[34],"applies":[35],"significantly":[41],"smaller":[42],"engine.":[44],"We":[45],"show":[46,101,122],"that":[47,77,102,123],"can":[49,104,134],"computational":[52],"complexity":[53],"with":[56,80,86],"factor":[58],"compression":[60],"ratio":[61],"(CR)":[62],"squared,":[63],"i.e.,":[64],"CR":[65],"<sup":[66],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[67],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[68],".":[69],"Moreover,":[70],"output":[72],"signal":[73],"follows":[76],"small":[82],"error,":[83],"which":[84],"increases":[85],"CR,":[87],"when":[88],"projections":[90],"are":[91],"random.":[92],"Using":[93],"datasets":[94],"prerecorded":[96],"brain":[97],"neurochemicals,":[98],"experimentally":[100],"achieve":[105],"CRs":[106],"as":[107,109,114],"high":[108],"~":[110],"10.":[111],"As":[112],"far":[113],"is":[117],"concerned,":[118],"experimental":[120],"results":[121],"reduction":[124],"rates":[125],"32%":[127],"45%":[129],"in":[130],"different":[131],"FPGA":[132],"resources":[133],"be":[135],"achieved":[136],"using":[137],"C-PCR.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
