{"id":"https://openalex.org/W2995886420","doi":"https://doi.org/10.1109/tencon.2019.8929701","title":"Study and Noise Analysis of a Linearizing Front-End Circuit for GMR Sensors","display_name":"Study and Noise Analysis of a Linearizing Front-End Circuit for GMR Sensors","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2995886420","doi":"https://doi.org/10.1109/tencon.2019.8929701","mag":"2995886420"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2019.8929701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-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/A5004960048","display_name":"Sagnik Dutta","orcid":"https://orcid.org/0000-0002-7584-1643"},"institutions":[{"id":"https://openalex.org/I882761360","display_name":"Indian Institute of Space Science and Technology","ror":"https://ror.org/05k37ht14","country_code":"IN","type":"education","lineage":["https://openalex.org/I882761360"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sagnik Dutta","raw_affiliation_strings":["Dept. of Avionics, Indian Institute of Space Science and Technology, Trivandrum, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Avionics, Indian Institute of Space Science and Technology, Trivandrum, India","institution_ids":["https://openalex.org/I882761360"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054433984","display_name":"Tapabrata Sen","orcid":"https://orcid.org/0000-0002-1068-3840"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tapabrata Sen","raw_affiliation_strings":["Dept. of Electrical Engg, Indian Institute of Technology Kharagpur, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engg, Indian Institute of Technology Kharagpur, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041679557","display_name":"C. S. Anoop","orcid":"https://orcid.org/0000-0003-4819-7386"},"institutions":[{"id":"https://openalex.org/I882761360","display_name":"Indian Institute of Space Science and Technology","ror":"https://ror.org/05k37ht14","country_code":"IN","type":"education","lineage":["https://openalex.org/I882761360"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. S. Anoop","raw_affiliation_strings":["Dept. of Avionics, Indian Institute of Space Science and Technology, Trivandrum, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Avionics, Indian Institute of Space Science and Technology, Trivandrum, India","institution_ids":["https://openalex.org/I882761360"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004960048"],"corresponding_institution_ids":["https://openalex.org/I882761360"],"apc_list":null,"apc_paid":null,"fwci":0.5305,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70456384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2275","last_page":"2279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12692","display_name":"Magnetic Field Sensors Techniques","score":0.9995999932289124,"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/T10320","display_name":"Neural Networks and Applications","score":0.9968000054359436,"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/noise","display_name":"Noise (video)","score":0.7220638990402222},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.6340970993041992},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.6209547519683838},{"id":"https://openalex.org/keywords/linearity","display_name":"Linearity","score":0.5877482891082764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5756017565727234},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.534302830696106},{"id":"https://openalex.org/keywords/linear-circuit","display_name":"Linear circuit","score":0.41043156385421753},{"id":"https://openalex.org/keywords/equivalent-circuit","display_name":"Equivalent circuit","score":0.37841176986694336},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.29599207639694214},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24378517270088196},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07629945874214172}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7220638990402222},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.6340970993041992},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.6209547519683838},{"id":"https://openalex.org/C77170095","wikidata":"https://www.wikidata.org/wiki/Q1753188","display_name":"Linearity","level":2,"score":0.5877482891082764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5756017565727234},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.534302830696106},{"id":"https://openalex.org/C194571574","wikidata":"https://www.wikidata.org/wiki/Q2251187","display_name":"Linear circuit","level":4,"score":0.41043156385421753},{"id":"https://openalex.org/C23572009","wikidata":"https://www.wikidata.org/wiki/Q964981","display_name":"Equivalent circuit","level":3,"score":0.37841176986694336},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.29599207639694214},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24378517270088196},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07629945874214172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2019.8929701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W657160673","https://openalex.org/W1977077255","https://openalex.org/W2014408857","https://openalex.org/W2067738080","https://openalex.org/W2089611880","https://openalex.org/W2098175786","https://openalex.org/W2100859981","https://openalex.org/W2171260279","https://openalex.org/W2502108917","https://openalex.org/W2605750331","https://openalex.org/W2769914128","https://openalex.org/W2944438468","https://openalex.org/W2955023942","https://openalex.org/W6673173690","https://openalex.org/W6724690345"],"related_works":["https://openalex.org/W2354821598","https://openalex.org/W2218509615","https://openalex.org/W2100431333","https://openalex.org/W3213114159","https://openalex.org/W2029201205","https://openalex.org/W2383380665","https://openalex.org/W4237539720","https://openalex.org/W1950731043","https://openalex.org/W1984812621","https://openalex.org/W2063539863"],"abstract_inverted_index":{"This":[0,48,61],"paper":[1,62],"reports":[2],"an":[3],"extensive":[4],"noise":[5,89,103,191],"analysis":[6,104],"of":[7,53,69,90,105,116,160,198],"a":[8,23,42,107,157],"simple":[9,82],"linearizing":[10,56,74],"interface":[11],"circuit":[12,80,92,162],"for":[13,50,58,76,101],"Giant":[14],"Magneto-Resistance":[15],"(GMR)":[16],"sensors.":[17,60],"Commercially":[18],"available":[19],"GMR":[20,59],"sensors":[21],"have":[22],"non-linear":[24],"relationship":[25],"with":[26,152],"respect":[27],"to":[28,35,109,138,148,176,189],"magnetic":[29],"fields.":[30],"Yet,":[31],"they":[32],"are":[33],"required":[34],"be":[36,149,177],"used":[37],"in":[38,67,150,178,205],"many":[39],"applications":[40],"where":[41],"linear":[43],"input-output":[44],"characteristics":[45],"is":[46,81],"needed.":[47],"calls":[49],"the":[51,64,70,88,91,96,102,111,117,140,161,171,179,183,199,206],"development":[52],"high":[54],"performing":[55],"circuits":[57,75,200],"extends":[63],"work,":[65],"presented":[66],"one":[68],"research":[71],"papers,":[72],"on":[73,195],"GMR.":[77],"The":[78,167],"reported":[79],"and":[83,128,165,192],"provides":[84],"excellent":[85],"linearity.":[86],"However,":[87],"elements":[93],"can":[94],"affect":[95],"performance.":[97],"Hence,":[98],"this":[99],"necessitates":[100],"such":[106],"front-end":[108],"determine":[110],"subtle":[112],"parameters":[113],"like":[114],"resolution":[115],"circuit.":[118],"Noise":[119],"formulation":[120],"using":[121],"mathematical":[122,141],"studies":[123,134],"has":[124,130,201],"been":[125,131,203],"carried":[126],"out":[127],"performance":[129,197],"evaluated.":[132],"Simulation":[133],"were":[135,146],"also":[136,202],"conducted":[137],"validate":[139],"formulation.":[142],"Results":[143],"from":[144,170],"simulation":[145],"found":[147,175],"agreement":[151],"mathematically":[153],"obtained":[154,169],"results.":[155,185],"Further,":[156],"hardware":[158],"model":[159],"was":[163,174],"developed":[164],"tested.":[166],"results":[168],"experimental":[172],"setup":[173],"same":[180],"order":[181],"as":[182],"previous":[184],"A":[186],"compensation":[187],"method":[188],"reduce":[190],"its":[193],"effect":[194],"dynamic":[196],"briefed":[204],"paper.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}