{"id":"https://openalex.org/W4240714193","doi":"https://doi.org/10.1109/date.2004.1268941","title":"Trim bit setting of analog filters using wavelet-based supply current analysis","display_name":"Trim bit setting of analog filters using wavelet-based supply current analysis","publication_year":2004,"publication_date":"2004-06-21","ids":{"openalex":"https://openalex.org/W4240714193","doi":"https://doi.org/10.1109/date.2004.1268941"},"language":"en","primary_location":{"id":"doi:10.1109/date.2004.1268941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/date.2004.1268941","pdf_url":null,"source":{"id":"https://openalex.org/S4363608792","display_name":"Proceedings Design, Automation and Test in Europe Conference and Exhibition","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":"Proceedings Design, Automation and Test in Europe Conference and Exhibition","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/A5039442844","display_name":"Swarup Bhunia","orcid":"https://orcid.org/0000-0001-6082-6961"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Bhunia","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069464293","display_name":"A. Raychowdhury","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Raychowdhury","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065153166","display_name":"K. Roy","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Roy","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"708","last_page":"709"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9962000250816345,"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/T10320","display_name":"Neural Networks and Applications","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/wavelet","display_name":"Wavelet","score":0.6916033029556274},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6803112030029297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5379498600959778},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5041779279708862},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.48388537764549255},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4568536877632141},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.41456088423728943},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3487921953201294},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14920654892921448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13938093185424805}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6916033029556274},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6803112030029297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5379498600959778},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5041779279708862},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.48388537764549255},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4568536877632141},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.41456088423728943},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3487921953201294},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14920654892921448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13938093185424805},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/date.2004.1268941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/date.2004.1268941","pdf_url":null,"source":{"id":"https://openalex.org/S4363608792","display_name":"Proceedings Design, Automation and Test in Europe Conference and Exhibition","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":"Proceedings Design, Automation and Test in Europe Conference and Exhibition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1506809288","https://openalex.org/W2137282157","https://openalex.org/W2141111294"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W2085792030","https://openalex.org/W2023142747","https://openalex.org/W2037009764","https://openalex.org/W2501033992","https://openalex.org/W1967182499","https://openalex.org/W2088723847","https://openalex.org/W2039128285","https://openalex.org/W3021969771","https://openalex.org/W2379361621"],"abstract_inverted_index":{"Wavelet":[0,59],"transform":[1],"has":[2],"the":[3,43],"property":[4],"of":[5,28,46,61,73],"resolving":[6],"signal":[7],"in":[8,42,53],"both":[9],"time":[10],"and":[11,83],"frequency":[12,44,71],"unlike":[13],"Fourier":[14],"transform.":[15],"In":[16],"this":[17],"work,":[18],"we":[19,99],"show":[20],"that":[21,98],"time-domain":[22],"information":[23],"obtained":[24],"from":[25],"wavelet":[26],"analysis":[27,60],"supply":[29,62],"current":[30,63],"can":[31,64,100],"be":[32,65],"used":[33],"to":[34,51,69],"efficiently":[35],"trim":[36],"analog":[37,47,74],"filters.":[38],"The":[39],"pole/zero":[40,102],"locations":[41],"response":[45],"filters":[48],"shift":[49,103],"due":[50],"change":[52],"component":[54],"values":[55],"with":[56,104],"process":[57],"variations.":[58],"a":[66],"promising":[67],"alternative":[68],"test":[70,81,95],"specification":[72],"filters,":[75],"since":[76],"it":[77],"needs":[78],"only":[79],"one":[80],"stimulus":[82],"is":[84],"virtually":[85],"unaffected":[86],"by":[87],"transistor":[88],"threshold":[89],"variation.":[90],"Simulation":[91],"results":[92],"on":[93],"two":[94],"circuits":[96],"demonstrate":[97],"estimate":[101],"less":[105],"than":[106],"3%":[107],"error.":[108]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
