{"id":"https://openalex.org/W4297823844","doi":"https://doi.org/10.3233/jifs-212021","title":"Why Daubechies wavelets are so successful","display_name":"Why Daubechies wavelets are so successful","publication_year":2022,"publication_date":"2022-08-05","ids":{"openalex":"https://openalex.org/W4297823844","doi":"https://doi.org/10.3233/jifs-212021"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-212021","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-212021","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5059258284","display_name":"Solymar Ayala Cortez","orcid":"https://orcid.org/0000-0001-9227-1016"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Solymar Ayala Cortez","raw_affiliation_strings":["Department of Geological Sciences, University of Texas at El Paso, 500 W. University, El Paso, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geological Sciences, University of Texas at El Paso, 500 W. University, El Paso, TX, USA","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040974146","display_name":"Laxman Bokati","orcid":"https://orcid.org/0009-0002-5835-3397"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laxman Bokati","raw_affiliation_strings":["Computational Science Program, University of Texasat El Paso, 500 W. University, El Paso, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computational Science Program, University of Texasat El Paso, 500 W. University, El Paso, TX, USA","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091300485","display_name":"A. A. Velasco","orcid":"https://orcid.org/0000-0003-0695-6153"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Velasco","raw_affiliation_strings":["Department of Geological Sciences, University of Texas at El Paso, 500 W. University, El Paso, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geological Sciences, University of Texas at El Paso, 500 W. University, El Paso, TX, USA","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061275811","display_name":"\u0412\u043b\u0430\u0434\u0438\u043a \u041a\u0440\u0435\u0439\u043d\u043e\u0432\u0438\u0447","orcid":"https://orcid.org/0000-0002-1244-1650"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vladik Kreinovich","raw_affiliation_strings":["Department of Computer Science, University of Texas at El Paso, 500 W. University, El Paso, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Texas at El Paso, 500 W. University, El Paso, TX, USA","institution_ids":["https://openalex.org/I164936912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061275811"],"corresponding_institution_ids":["https://openalex.org/I164936912"],"apc_list":null,"apc_paid":null,"fwci":0.7104,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7067569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"43","issue":"6","first_page":"6933","last_page":"6938"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11757","display_name":"Seismic Waves and Analysis","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.922271728515625},{"id":"https://openalex.org/keywords/daubechies-wavelet","display_name":"Daubechies wavelet","score":0.7313502430915833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5823516249656677},{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.530754566192627},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4124307632446289},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.36051565408706665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3536703586578369},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.3438345193862915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3277099132537842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32136809825897217},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.05540516972541809},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.044439345598220825}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.922271728515625},{"id":"https://openalex.org/C2779855323","wikidata":"https://www.wikidata.org/wiki/Q1172774","display_name":"Daubechies wavelet","level":5,"score":0.7313502430915833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5823516249656677},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.530754566192627},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4124307632446289},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.36051565408706665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3536703586578369},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.3438345193862915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3277099132537842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32136809825897217},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.05540516972541809},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.044439345598220825}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/jifs-212021","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-212021","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"},{"id":"pmh:oai:scholarworks.utep.edu:cs_techrep-2582","is_oa":false,"landing_page_url":"https://scholarworks.utep.edu/cs_techrep/1595","pdf_url":null,"source":{"id":"https://openalex.org/S4377196403","display_name":"scholarworks - UTEP (The University of Texas at El Paso)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I164936912","host_organization_name":"The University of Texas at El Paso","host_organization_lineage":["https://openalex.org/I164936912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Departmental Technical Reports (CS)","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1481101934","https://openalex.org/W1964576035","https://openalex.org/W1990309165","https://openalex.org/W2028880424","https://openalex.org/W2037983029","https://openalex.org/W2111473877","https://openalex.org/W3005049820","https://openalex.org/W4255272544"],"related_works":["https://openalex.org/W1710806717","https://openalex.org/W2394322125","https://openalex.org/W2355521768","https://openalex.org/W2138197360","https://openalex.org/W2055938957","https://openalex.org/W4210684035","https://openalex.org/W2784961696","https://openalex.org/W2902714807","https://openalex.org/W2501033992","https://openalex.org/W3199035354"],"abstract_inverted_index":{"In":[0,18],"many":[1],"applications,":[2],"including":[3],"analysis":[4],"of":[5,16,31,53],"seismic":[6],"signals,":[7],"Daubechies":[8,32],"wavelets":[9,39],"perform":[10],"much":[11],"better":[12],"than":[13],"other":[14],"families":[15],"wavelets.":[17,33],"this":[19],"paper,":[20],"we":[21,35],"provide":[22],"a":[23],"possible":[24],"theoretical":[25],"explanation":[26],"for":[27],"the":[28,50],"empirical":[29],"success":[30],"Specifically,":[34],"show":[36],"that":[37,48],"these":[38],"are":[40],"optimal":[41],"with":[42],"respect":[43],"to":[44],"any":[45],"optimality":[46],"criterion":[47],"satisfies":[49],"natural":[51],"properties":[52],"scale-":[54],"and":[55],"shift-invariance.":[56]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
