{"id":"https://openalex.org/W3157621979","doi":"https://doi.org/10.1109/iscas51556.2021.9401576","title":"Experimental Evaluation of Backpropagation-Based Background Compensation of TI-ADC with Application to Digital Communication Receivers","display_name":"Experimental Evaluation of Backpropagation-Based Background Compensation of TI-ADC with Application to Digital Communication Receivers","publication_year":2021,"publication_date":"2021-04-27","ids":{"openalex":"https://openalex.org/W3157621979","doi":"https://doi.org/10.1109/iscas51556.2021.9401576","mag":"3157621979"},"language":"en","primary_location":{"id":"doi:10.1109/iscas51556.2021.9401576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas51556.2021.9401576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5066055527","display_name":"Fredy Solis","orcid":"https://orcid.org/0000-0003-2608-2350"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fredy Solis","raw_affiliation_strings":["Fundaci\u00f3n Fulgor, Argentina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fundaci\u00f3n Fulgor, Argentina","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017975249","display_name":"Dami\u00e1n A. Morero","orcid":null},"institutions":[{"id":"https://openalex.org/I151201029","display_name":"Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas","ror":"https://ror.org/03cqe8w59","country_code":"AR","type":"government","lineage":["https://openalex.org/I151201029","https://openalex.org/I4210123736","https://openalex.org/I4387155568"]},{"id":"https://openalex.org/I166401450","display_name":"Universidad Nacional de C\u00f3rdoba","ror":"https://ror.org/056tb7j80","country_code":"AR","type":"education","lineage":["https://openalex.org/I166401450"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"Damian Morero","raw_affiliation_strings":["Laboratorio de Comunicaciones Digitales, Universidad Nacional de Cordoba - CONICET, Argentina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratorio de Comunicaciones Digitales, Universidad Nacional de Cordoba - CONICET, Argentina","institution_ids":["https://openalex.org/I166401450","https://openalex.org/I151201029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064808015","display_name":"Mario R. Hueda","orcid":null},"institutions":[{"id":"https://openalex.org/I151201029","display_name":"Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas","ror":"https://ror.org/03cqe8w59","country_code":"AR","type":"government","lineage":["https://openalex.org/I151201029","https://openalex.org/I4210123736","https://openalex.org/I4387155568"]},{"id":"https://openalex.org/I166401450","display_name":"Universidad Nacional de C\u00f3rdoba","ror":"https://ror.org/056tb7j80","country_code":"AR","type":"education","lineage":["https://openalex.org/I166401450"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"Mario R. Hueda","raw_affiliation_strings":["Laboratorio de Comunicaciones Digitales, Universidad Nacional de Cordoba - CONICET, Argentina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratorio de Comunicaciones Digitales, Universidad Nacional de Cordoba - CONICET, Argentina","institution_ids":["https://openalex.org/I166401450","https://openalex.org/I151201029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079120202","display_name":"Benjam\u00edn T. Reyes","orcid":"https://orcid.org/0000-0003-4903-3498"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Benjamin T. Reyes","raw_affiliation_strings":["Fundaci\u00f3n Fulgor, Argentina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fundaci\u00f3n Fulgor, Argentina","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10299","display_name":"Photonic and Optical Devices","score":0.9966999888420105,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.9012525081634521},{"id":"https://openalex.org/keywords/spurious-free-dynamic-range","display_name":"Spurious-free dynamic range","score":0.6888763308525085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6324446797370911},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.5731924772262573},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5451814532279968},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47976574301719666},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.45958012342453003},{"id":"https://openalex.org/keywords/analog-to-digital-converter","display_name":"Analog-to-digital converter","score":0.4572635889053345},{"id":"https://openalex.org/keywords/bit-error-rate","display_name":"Bit error rate","score":0.456387996673584},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.41048187017440796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2582763135433197},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23838895559310913},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17836278676986694},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1265866756439209},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.11711791157722473}],"concepts":[{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.9012525081634521},{"id":"https://openalex.org/C119293636","wikidata":"https://www.wikidata.org/wiki/Q657480","display_name":"Spurious-free dynamic range","level":3,"score":0.6888763308525085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6324446797370911},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.5731924772262573},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5451814532279968},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47976574301719666},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.45958012342453003},{"id":"https://openalex.org/C2777271169","wikidata":"https://www.wikidata.org/wiki/Q190169","display_name":"Analog-to-digital converter","level":3,"score":0.4572635889053345},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"score":0.456387996673584},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.41048187017440796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2582763135433197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23838895559310913},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17836278676986694},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1265866756439209},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.11711791157722473},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas51556.2021.9401576","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas51556.2021.9401576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Circuits and Systems (ISCAS)","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":17,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1927058102","https://openalex.org/W2099621533","https://openalex.org/W2111186324","https://openalex.org/W2133188315","https://openalex.org/W2178958574","https://openalex.org/W2320346843","https://openalex.org/W2530368923","https://openalex.org/W2556599572","https://openalex.org/W2557283755","https://openalex.org/W2585188371","https://openalex.org/W2929858042","https://openalex.org/W2970906998","https://openalex.org/W3014057363","https://openalex.org/W3047696721","https://openalex.org/W3091177140","https://openalex.org/W6782039926"],"related_works":["https://openalex.org/W1513837800","https://openalex.org/W4308630700","https://openalex.org/W2327406767","https://openalex.org/W2025217054","https://openalex.org/W2082486400","https://openalex.org/W2341231357","https://openalex.org/W2735106728","https://openalex.org/W4295789136","https://openalex.org/W3015687113","https://openalex.org/W2186189745"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,24,97,174],"experimental":[4],"evaluation":[5],"of":[6,14,41,47,85,137,162,182],"the":[7,11,39,58,78,81,92,101,112,126,134,154,160,163,167,178,193,197],"backpropagation-based":[8],"technique":[9,139],"for":[10],"background":[12,45,150],"compensation":[13,46,76,198],"time-interleaved":[15],"analog":[16],"to":[17,65,95,118],"digital":[18,54,87],"converters":[19],"(TI-ADC).":[20],"Measurements":[21,152],"obtained":[22],"on":[23,166],"8":[25],"bit,":[26],"4":[27],"GS/s":[28],"TI-ADC":[29,48,75,102,127,164],"test":[30,156],"chip":[31,157],"fabricated":[32],"in":[33,52,69,176],"130":[34],"nm":[35],"CMOS":[36],"technology":[37],"demonstrate":[38],"effectiveness":[40],"this":[42,138],"technique.":[43],"Backpropagation-based":[44],"is":[49,89,170,190,199],"typically":[50],"used":[51,64],"high-speed":[53],"communication":[55],"receivers.":[56],"Historically,":[57],"error":[59,79,99,114],"backpropagation":[60,93],"algorithm":[61,94],"has":[62],"been":[63],"train":[66,119],"neural":[67],"networks":[68],"machine":[70],"learning":[71],"applications.":[72],"In":[73,129,172],"a":[74,86,120],"application,":[77],"at":[80,100,192],"symbol":[82],"detection":[83],"stage":[84],"receiver":[88,168],"processed":[90],"by":[91],"compute":[96],"equivalent":[98],"output,":[103],"which":[104,124],"otherwise":[105],"would":[106],"not":[107],"be":[108,116],"directly":[109],"observable.":[110],"Then,":[111],"backpropagated":[113],"can":[115],"applied":[117],"low-complexity":[121],"adaptive":[122],"equalizer":[123],"compensates":[125],"mismatches.":[128],"comparison":[130],"with":[131,153],"prior":[132],"art,":[133],"main":[135],"advantages":[136],"are":[140],"its":[141,143,148],"robustness,":[142],"high":[144],"convergence":[145],"speed,":[146],"and":[147,180,186],"intrinsic":[149],"operation.":[151],"aforementioned":[155],"show":[158],"that":[159],"impact":[161],"mismatch":[165],"performance":[169],"eliminated.":[171],"addition,":[173],"improvement":[175],"both":[177],"SNDR":[179],"SFDR":[181],"almost":[183],"24":[184],"dB":[185],"25.6":[187],"dB,":[188],"respectively,":[189],"observed":[191],"Nyquist":[194],"frequency":[195],"when":[196],"applied.":[200]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
