{"id":"https://openalex.org/W2570729364","doi":"https://doi.org/10.1109/ewdts.2016.7807651","title":"A multi-criteria method for noise reduction","display_name":"A multi-criteria method for noise reduction","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2570729364","doi":"https://doi.org/10.1109/ewdts.2016.7807651","mag":"2570729364"},"language":"en","primary_location":{"id":"doi:10.1109/ewdts.2016.7807651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ewdts.2016.7807651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE East-West Design & Test Symposium (EWDTS)","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/A5059103390","display_name":"Evgeny A. Semenishchev","orcid":"https://orcid.org/0000-0001-9817-0021"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Evgeny Semenishchev","raw_affiliation_strings":["Technical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034929287","display_name":"Igor Shraifel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Igor Shraifel","raw_affiliation_strings":["Technical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102981113","display_name":"\u0412. \u0418. \u041c\u0430\u0440\u0447\u0443\u043a","orcid":"https://orcid.org/0000-0001-8576-0081"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vladimir Marchuk","raw_affiliation_strings":["Technical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080559279","display_name":"Svirin Ilia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ilia Svirin","raw_affiliation_strings":["CJSC Nordavind"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CJSC Nordavind","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026430708","display_name":"Sergey Makov","orcid":"https://orcid.org/0000-0001-7317-6216"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sergei Makov","raw_affiliation_strings":["Technical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11236","display_name":"Control Systems and Identification","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9889000058174133,"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/T13732","display_name":"Aerospace, Electronics, Mathematical Modeling","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.7023947238922119},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6934826970100403},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6734077334403992},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6477956175804138},{"id":"https://openalex.org/keywords/uniqueness","display_name":"Uniqueness","score":0.585978090763092},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5631186962127686},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5620818734169006},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5551280975341797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4860263466835022},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4645853340625763},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4190903902053833},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4034045934677124},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3976594805717468},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25690755248069763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14657139778137207},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06760847568511963}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.7023947238922119},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6934826970100403},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6734077334403992},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6477956175804138},{"id":"https://openalex.org/C2777021972","wikidata":"https://www.wikidata.org/wiki/Q22976830","display_name":"Uniqueness","level":2,"score":0.585978090763092},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5631186962127686},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5620818734169006},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5551280975341797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4860263466835022},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4645853340625763},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4190903902053833},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4034045934677124},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3976594805717468},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25690755248069763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14657139778137207},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06760847568511963},{"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/ewdts.2016.7807651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ewdts.2016.7807651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE East-West Design & Test Symposium (EWDTS)","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":13,"referenced_works":["https://openalex.org/W1600362533","https://openalex.org/W1848091346","https://openalex.org/W1984441060","https://openalex.org/W2008476021","https://openalex.org/W2040563603","https://openalex.org/W2042255131","https://openalex.org/W2103406330","https://openalex.org/W2115156609","https://openalex.org/W2116470432","https://openalex.org/W2129276500","https://openalex.org/W2147217256","https://openalex.org/W2624183933","https://openalex.org/W6652562992"],"related_works":["https://openalex.org/W571281153","https://openalex.org/W2949403936","https://openalex.org/W4301247218","https://openalex.org/W3108403339","https://openalex.org/W2162712524","https://openalex.org/W4287867034","https://openalex.org/W2175872006","https://openalex.org/W3005783148","https://openalex.org/W3021143552","https://openalex.org/W2004821155"],"abstract_inverted_index":{"The":[0,9,22,41],"article":[1],"presents":[2],"two":[3,20],"multi-criteria":[4],"methods":[5,13],"for":[6],"noise":[7,75,90],"reduction.":[8,76,91],"idea":[10],"of":[11,19,28,30,34,47,62,68,74,80,87],"these":[12],"is":[14,25,44],"based":[15],"on":[16,71],"a":[17],"combination":[18],"criteria.":[21],"first":[23,36],"criterion":[24,43],"the":[26,31,35,38,54,58,72,78,85],"sum":[27],"squares":[29],"finite":[32],"differences":[33],"and/or":[37],"second":[39,42],"order.":[40],"square":[45],"difference":[46],"input":[48],"signal":[49],"and":[50,60,89],"its":[51],"evaluation.":[52],"In":[53],"work,":[55],"we":[56,83],"prove":[57],"convergence":[59],"uniqueness":[61],"solutions":[63],"obtained.":[64],"We":[65],"discuss":[66],"influence":[67],"method's":[69],"parameters":[70],"result":[73],"On":[77],"set":[79],"test":[81],"signals,":[82],"show":[84],"effectiveness":[86],"smoothing":[88]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}