{"id":"https://openalex.org/W3148484309","doi":"https://doi.org/10.1109/aspdac.2009.4796525","title":"Accounting for non-linear dependence using function driven component analysis","display_name":"Accounting for non-linear dependence using function driven component analysis","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W3148484309","doi":"https://doi.org/10.1109/aspdac.2009.4796525","mag":"3148484309"},"language":"en","primary_location":{"id":"doi:10.1109/aspdac.2009.4796525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspdac.2009.4796525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5104049811","display_name":"Lerong Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lerong Cheng","raw_affiliation_strings":["Department of Electrical Engineering, University of California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084229134","display_name":"Puneet Gupta","orcid":"https://orcid.org/0000-0002-6188-1134"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Puneet Gupta","raw_affiliation_strings":["Department of Electrical Engineering, University of California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008695429","display_name":"Lei He","orcid":"https://orcid.org/0000-0002-5266-3805"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei He","raw_affiliation_strings":["Department of Electrical Engineering, University of California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"474","last_page":"479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9987000226974487,"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/independent-component-analysis","display_name":"Independent component analysis","score":0.6612825393676758},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4896283745765686},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48285919427871704},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.4821614623069763},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4782118499279022},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4724319875240326},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.4477593004703522},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41852259635925293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4178299903869629},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34448158740997314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18320214748382568}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.6612825393676758},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4896283745765686},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48285919427871704},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.4821614623069763},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4782118499279022},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4724319875240326},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.4477593004703522},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41852259635925293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4178299903869629},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34448158740997314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18320214748382568},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aspdac.2009.4796525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aspdac.2009.4796525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1545891613","https://openalex.org/W1581232847","https://openalex.org/W1818850777","https://openalex.org/W1977055509","https://openalex.org/W2002591317","https://openalex.org/W2004697122","https://openalex.org/W2065183790","https://openalex.org/W2084083833","https://openalex.org/W2113992532","https://openalex.org/W2117648153","https://openalex.org/W2122538988","https://openalex.org/W2126460975","https://openalex.org/W2178225970","https://openalex.org/W4241106279","https://openalex.org/W4245502288","https://openalex.org/W6632722255","https://openalex.org/W6651411033","https://openalex.org/W6677456195"],"related_works":["https://openalex.org/W2121429698","https://openalex.org/W2182042810","https://openalex.org/W4252230435","https://openalex.org/W55679925","https://openalex.org/W3080404860","https://openalex.org/W2046761971","https://openalex.org/W3144722888","https://openalex.org/W2089650474","https://openalex.org/W2364896863","https://openalex.org/W2389189059"],"abstract_inverted_index":{"Majority":[0],"of":[1,15,55,94],"practical":[2],"multivariate":[3],"statistical":[4,159],"analyses":[5],"and":[6,28,59,104,154,163],"optimizations":[7],"model":[8],"interdependence":[9],"among":[10,19],"random":[11,36,80],"variables":[12,37],"in":[13,30,87],"terms":[14],"the":[16,70,79,85,111,123,146,174,183],"linear":[17,22,98],"correlation":[18,23,50],"them.":[20],"Though":[21],"is":[24,74,117,178],"simple":[25,53],"to":[26,42,75,122,128,144,158,182],"use":[27],"evaluate,":[29],"several":[31],"cases":[32],"non-linear":[33,57,65,131],"dependence":[34,58,66,153],"between":[35],"may":[38],"be":[39,76],"too":[40],"strong":[41],"ignore.":[43],"In":[44,126],"this":[45],"paper,":[46],"We":[47],"propose":[48],"polynomial":[49],"coefficients":[51],"as":[52,102],"measure":[54],"multivariable":[56],"show":[60,172],"that":[61,73,110,173],"need":[62],"for":[63],"modeling":[64],"strongly":[67],"depends":[68],"on":[69],"end":[71],"function":[72,138],"evaluated":[77],"from":[78,91],"variables.":[81],"Then,":[82],"we":[83,133],"calculate":[84],"errors":[86],"estimation":[88],"which":[89],"result":[90,108],"assuming":[92],"independence":[93],"components":[95],"generated":[96],"by":[97,114,149],"de-correlation":[99],"techniques":[100],"such":[101,156],"PCA":[103,185],"ICA.":[105,187],"The":[106],"experimental":[107],"shows":[109],"error":[112,120,147],"predicted":[113],"our":[115],"method":[116,177],"within":[118],"1%":[119],"compared":[121,181],"real":[124],"simulation.":[125],"order":[127,152],"deal":[129],"with":[130],"dependence,":[132],"further":[134],"develop":[135],"a":[136],"target":[137],"driven":[139],"component":[140],"analysis":[141,162],"algorithm":[142],"(FCA)":[143],"minimize":[145],"caused":[148],"ignoring":[150],"high":[151],"apply":[155],"technique":[157],"leakage":[160],"power":[161],"SRAM":[164],"cell":[165],"noise":[166],"margin":[167],"variation":[168],"analysis.":[169],"Experimental":[170],"results":[171],"proposed":[175],"FCA":[176],"more":[179],"accurate":[180],"traditional":[184],"or":[186]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
