{"id":"https://openalex.org/W3097375743","doi":"https://doi.org/10.1007/s10489-020-01958-z","title":"Dictionary adaptation and variational mode decomposition for gyroscope signal enhancement","display_name":"Dictionary adaptation and variational mode decomposition for gyroscope signal enhancement","publication_year":2020,"publication_date":"2020-11-03","ids":{"openalex":"https://openalex.org/W3097375743","doi":"https://doi.org/10.1007/s10489-020-01958-z","mag":"3097375743"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-020-01958-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-020-01958-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-020-01958-z.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10489-020-01958-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081645262","display_name":"Krzysztof Brzostowski","orcid":"https://orcid.org/0000-0003-3398-0773"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Krzysztof Brzostowski","raw_affiliation_strings":["Faculty of Computer Science and Management, Wroc\u0142aw University of Science and Technology, Wybrze\u017ce Wyspia\u0144skiego 27, 50-370, Wroc\u0142aw, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Management, Wroc\u0142aw University of Science and Technology, Wybrze\u017ce Wyspia\u0144skiego 27, 50-370, Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083502688","display_name":"Jerzy \u015awi\u0105tek","orcid":"https://orcid.org/0000-0002-4986-8092"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jerzy \u015awia\u0327tek","raw_affiliation_strings":["Faculty of Computer Science and Management, Wroc\u0142aw University of Science and Technology, Wybrze\u017ce Wyspia\u0144skiego 27, 50-370, Wroc\u0142aw, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Management, Wroc\u0142aw University of Science and Technology, Wybrze\u017ce Wyspia\u0144skiego 27, 50-370, Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081645262"],"corresponding_institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.7356,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71617262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"51","issue":"4","first_page":"2312","last_page":"2330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9980999827384949,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9980999827384949,"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":0.9943000078201294,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7322161197662354},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6365190744400024},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6110302209854126},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5754030346870422},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.5506246089935303},{"id":"https://openalex.org/keywords/augmented-lagrangian-method","display_name":"Augmented Lagrangian method","score":0.5097529292106628},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43743833899497986},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4272872805595398},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41987305879592896},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4142172038555145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2757130563259125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7322161197662354},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6365190744400024},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6110302209854126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5754030346870422},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.5506246089935303},{"id":"https://openalex.org/C150452318","wikidata":"https://www.wikidata.org/wiki/Q4820432","display_name":"Augmented Lagrangian method","level":2,"score":0.5097529292106628},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43743833899497986},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4272872805595398},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41987305879592896},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4142172038555145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2757130563259125},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-020-01958-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-020-01958-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-020-01958-z.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10489-020-01958-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-020-01958-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-020-01958-z.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3097375743.pdf","grobid_xml":"https://content.openalex.org/works/W3097375743.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W42203131","https://openalex.org/W821560991","https://openalex.org/W1495934886","https://openalex.org/W1650958574","https://openalex.org/W1964897957","https://openalex.org/W1973261402","https://openalex.org/W1990623371","https://openalex.org/W1999940729","https://openalex.org/W2000982976","https://openalex.org/W2004884583","https://openalex.org/W2007221293","https://openalex.org/W2012551753","https://openalex.org/W2099371695","https://openalex.org/W2100705753","https://openalex.org/W2109896502","https://openalex.org/W2110075977","https://openalex.org/W2122958405","https://openalex.org/W2123031198","https://openalex.org/W2125527601","https://openalex.org/W2131420149","https://openalex.org/W2132680427","https://openalex.org/W2134321002","https://openalex.org/W2158940042","https://openalex.org/W2163621334","https://openalex.org/W2171487891","https://openalex.org/W2202408356","https://openalex.org/W2212561299","https://openalex.org/W2267520283","https://openalex.org/W2283544056","https://openalex.org/W2298544912","https://openalex.org/W2322780580","https://openalex.org/W2325207088","https://openalex.org/W2498101330","https://openalex.org/W2524052612","https://openalex.org/W2588251699","https://openalex.org/W2754542292","https://openalex.org/W2796945257","https://openalex.org/W2800431972","https://openalex.org/W2804873607","https://openalex.org/W2939392446","https://openalex.org/W2944644372","https://openalex.org/W2971595387","https://openalex.org/W3023883218","https://openalex.org/W3083052962","https://openalex.org/W3106359998","https://openalex.org/W4296928088"],"related_works":["https://openalex.org/W1889129279","https://openalex.org/W4387451989","https://openalex.org/W2532412374","https://openalex.org/W2063137106","https://openalex.org/W23275807","https://openalex.org/W2358715846","https://openalex.org/W2761234876","https://openalex.org/W2168042464","https://openalex.org/W4229455305","https://openalex.org/W2015060724"],"abstract_inverted_index":{"Abstract":[0],"The":[1,110,140],"paper":[2],"proposes":[3],"an":[4],"approach":[5,32,112,147],"to":[6],"signal":[7,68,88,153],"denoising":[8,38,154],"based":[9,114],"on":[10,115,135],"a":[11,34,149,158],"combination":[12],"of":[13,37,67,102,131,138,161],"Variational":[14],"Mode":[15],"Decomposition":[16],"with":[17],"the":[18,30,43,46,53,57,61,72,78,89,103,116,124,129,136,145],"Split":[19,117],"Augmented":[20,118],"Lagrangian":[21,119],"Shrinkage":[22,120],"Algorithm.":[23],"In":[24,41],"our":[25],"research,":[26],"we":[27],"found":[28],"that":[29,144],"proposed":[31,58,90,111,146],"gives":[33,60,92,148],"great":[35,150],"improvement":[36,151],"gyroscopic":[39],"signals.":[40],"turn,":[42],"results":[44,63,94,142],"for":[45,64,71,85],"synthetic":[47,55,76],"signals":[48,77],"are":[49],"not":[50],"straightforward.":[51],"For":[52],"bumps":[54],"signals,":[56],"algorithm":[59,91,105],"best":[62],"different":[65],"levels":[66],"degradation.":[69],"While":[70],"Doppler":[73],"and":[74,155],"blocks":[75],"reference":[79],"methods":[80],"give":[81],"better":[82,93],"results.":[83],"However,":[84],"heavisine":[86],"test":[87],"in":[95,152],"almost":[96],"all":[97],"cases.":[98],"A":[99],"weak":[100],"point":[101],"presented":[104,141],"is":[106,113,123,157],"its":[107],"time":[108,130],"complexity.":[109],"Algorithm,":[121],"which":[122],"iterative":[125],"optimization":[126],"method":[127],"since":[128],"computation":[132],"strongly":[133],"depends":[134],"number":[137],"iterations.":[139],"show":[143],"it":[156],"promising":[159],"direction":[160],"future":[162],"research.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}