{"id":"https://openalex.org/W3045853766","doi":"https://doi.org/10.1109/tcsii.2020.3012386","title":"Neural-Network Based Self-Initializing Algorithm for Multi-Parameter Optimization of High-Speed ADCs","display_name":"Neural-Network Based Self-Initializing Algorithm for Multi-Parameter Optimization of High-Speed ADCs","publication_year":2020,"publication_date":"2020-07-27","ids":{"openalex":"https://openalex.org/W3045853766","doi":"https://doi.org/10.1109/tcsii.2020.3012386","mag":"3045853766"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2020.3012386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2020.3012386","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/A5073225302","display_name":"Shrestha Bansal","orcid":"https://orcid.org/0000-0002-4818-3366"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shrestha Bansal","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA"],"raw_orcid":"https://orcid.org/0000-0002-4818-3366","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043213695","display_name":"Erfan Ghaderi","orcid":"https://orcid.org/0000-0002-5519-8048"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erfan Ghaderi","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5519-8048","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044307058","display_name":"Chase Puglisi","orcid":null},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chase Puglisi","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054523682","display_name":"Subhanshu Gupta","orcid":"https://orcid.org/0000-0003-4754-3451"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Subhanshu Gupta","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4754-3451","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA","institution_ids":["https://openalex.org/I72951846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073225302"],"corresponding_institution_ids":["https://openalex.org/I72951846"],"apc_list":null,"apc_paid":null,"fwci":1.6643,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.84180672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"68","issue":"1","first_page":"106","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9955999851226807,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9937000274658203,"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/initialization","display_name":"Initialization","score":0.7001091241836548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.647743821144104},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5849960446357727},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5344314575195312},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5019266605377197},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4742385745048523},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.44412940740585327},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.44283580780029297},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44082656502723694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18981802463531494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18271246552467346}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7001091241836548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.647743821144104},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5849960446357727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5344314575195312},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5019266605377197},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4742385745048523},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.44412940740585327},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.44283580780029297},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44082656502723694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18981802463531494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18271246552467346},{"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.2020.3012386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2020.3012386","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":[{"id":"https://metadata.un.org/sdg/8","score":0.4099999964237213,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G3032445318","display_name":null,"funder_award_id":"N00014-18-1-2254","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1608024616","https://openalex.org/W1621942048","https://openalex.org/W1993827666","https://openalex.org/W2061570747","https://openalex.org/W2103248455","https://openalex.org/W2112860605","https://openalex.org/W2129077180","https://openalex.org/W2136922672","https://openalex.org/W2137699621","https://openalex.org/W2152195021","https://openalex.org/W2154300649","https://openalex.org/W2159728432","https://openalex.org/W2162287622","https://openalex.org/W2162335146","https://openalex.org/W2537106893","https://openalex.org/W2543580944","https://openalex.org/W2553458792","https://openalex.org/W2589586115","https://openalex.org/W2609875481","https://openalex.org/W2885447634","https://openalex.org/W2895977457","https://openalex.org/W2898857372","https://openalex.org/W3015454294","https://openalex.org/W3016242505","https://openalex.org/W6648674553","https://openalex.org/W6728826630"],"related_works":["https://openalex.org/W4226299596","https://openalex.org/W4309434778","https://openalex.org/W3214759249","https://openalex.org/W2984511682","https://openalex.org/W4283773090","https://openalex.org/W4206903459","https://openalex.org/W2754816816","https://openalex.org/W2358550275","https://openalex.org/W4366280654","https://openalex.org/W3160167280"],"abstract_inverted_index":{"This":[0],"brief":[1],"proposes":[2],"a":[3,21],"new":[4],"automatic":[5],"model":[6],"parameter":[7],"selection":[8],"approach":[9],"for":[10,45],"determining":[11],"the":[12,40,50,61,64,69,78,82,87,101,113,125,130,134,143,150],"optimal":[13,46,95],"configuration":[14,48],"of":[15,23,77,86,142],"high-speed":[16],"analog-to-digital":[17],"converters":[18],"(ADCs)":[19],"using":[20],"combination":[22],"particle":[24],"swarm":[25],"optimization":[26],"(PSO)":[27],"and":[28,81,118,156,161],"stochastic":[29],"gradient":[30],"descent":[31],"(SGD)":[32],"algorithm.":[33],"The":[34,73],"proposed":[35,144],"hybrid":[36],"method":[37],"first":[38],"initializes":[39],"PSO":[41,62,79],"algorithm":[42,66,80,132,145],"to":[43,92,100,111,122],"search":[44,55,75,84],"neural-network":[47],"via":[49],"particles":[51],"moving":[52],"in":[53,115],"finite":[54],"space":[56],"with":[57,104,158],"coarse":[58],"quantization.":[59],"Using":[60],"estimates,":[63],"SGD":[65,88],"then":[67],"finds":[68],"global":[70,74,102],"optimum":[71,103],"solution.":[72],"ability":[76,85],"local":[83],"are":[89],"thus":[90],"exploited":[91],"determine":[93],"an":[94],"solution":[96],"that":[97,124,152],"is":[98,146],"close":[99],"reduced":[105],"latency.":[106],"Several":[107],"experiments":[108],"were":[109],"constructed":[110],"optimize":[112],"non-linearities":[114],"Nyquist":[116],"flash":[117],"pipeline":[119],"ADC":[120],"datasets":[121],"show":[123],"neural":[126],"networks":[127],"trained":[128],"by":[129],"PSO-SGD":[131],"outperform":[133],"random":[135],"search-based":[136],"performance":[137,157],"optimization.":[138],"Comparative":[139],"resource":[140],"analysis":[141],"also":[147],"conducted":[148],"against":[149],"state-of-the-art":[151],"highlights":[153],"improved":[154],"latencies":[155],"similar":[159],"area":[160],"implementation":[162],"complexity.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}