{"id":"https://openalex.org/W2170493321","doi":"https://doi.org/10.1109/cca.2009.5281040","title":"Nonlinear multi-scale statistical identification approach for data processing enhancing and quantitative study","display_name":"Nonlinear multi-scale statistical identification approach for data processing enhancing and quantitative study","publication_year":2009,"publication_date":"2009-07-01","ids":{"openalex":"https://openalex.org/W2170493321","doi":"https://doi.org/10.1109/cca.2009.5281040","mag":"2170493321"},"language":"en","primary_location":{"id":"doi:10.1109/cca.2009.5281040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cca.2009.5281040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","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/A5101519387","display_name":"Zhengmao Ye","orcid":"https://orcid.org/0000-0001-8897-574X"},"institutions":[{"id":"https://openalex.org/I145610796","display_name":"Southern University and Agricultural and Mechanical College","ror":"https://ror.org/04r3m2882","country_code":"US","type":"education","lineage":["https://openalex.org/I145610796"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhengmao Ye","raw_affiliation_strings":["College of Engineering, Southern University, Baton Rouge, LA 70813, USA","College of Engineering, Southern University, Baton Rouge, LA, USA"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Southern University, Baton Rouge, LA 70813, USA","institution_ids":["https://openalex.org/I145610796"]},{"raw_affiliation_string":"College of Engineering, Southern University, Baton Rouge, LA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038916499","display_name":"Habib Mohamadian","orcid":null},"institutions":[{"id":"https://openalex.org/I145610796","display_name":"Southern University and Agricultural and Mechanical College","ror":"https://ror.org/04r3m2882","country_code":"US","type":"education","lineage":["https://openalex.org/I145610796"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Habib Mohamadian","raw_affiliation_strings":["College of Engineering, Southern University, Baton Rouge, LA 70813, USA","College of Engineering, Southern University, Baton Rouge, LA, USA"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Southern University, Baton Rouge, LA 70813, USA","institution_ids":["https://openalex.org/I145610796"]},{"raw_affiliation_string":"College of Engineering, Southern University, Baton Rouge, LA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101519387"],"corresponding_institution_ids":["https://openalex.org/I145610796"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1575033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1027","last_page":"1032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9853000044822693,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/principal-component-analysis","display_name":"Principal component analysis","score":0.7080737948417664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6843693256378174},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6362813711166382},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6156092882156372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6144235730171204},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6105965375900269},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5931373238563538},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5804588794708252},{"id":"https://openalex.org/keywords/statistical-signal-processing","display_name":"Statistical signal processing","score":0.5053189396858215},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4847659468650818},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4819319248199463},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4786751866340637},{"id":"https://openalex.org/keywords/multidimensional-signal-processing","display_name":"Multidimensional signal processing","score":0.47774022817611694},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47669312357902527},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42256608605384827},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41381973028182983},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24956366419792175},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.21124404668807983}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7080737948417664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6843693256378174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6362813711166382},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6156092882156372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6144235730171204},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6105965375900269},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5931373238563538},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5804588794708252},{"id":"https://openalex.org/C105125183","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Statistical signal processing","level":4,"score":0.5053189396858215},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4847659468650818},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4819319248199463},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4786751866340637},{"id":"https://openalex.org/C501101116","wikidata":"https://www.wikidata.org/wiki/Q18378116","display_name":"Multidimensional signal processing","level":4,"score":0.47774022817611694},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47669312357902527},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42256608605384827},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41381973028182983},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24956366419792175},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.21124404668807983},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cca.2009.5281040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cca.2009.5281040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC)","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":20,"referenced_works":["https://openalex.org/W1490760466","https://openalex.org/W1968715895","https://openalex.org/W1973076992","https://openalex.org/W1979053768","https://openalex.org/W1984819514","https://openalex.org/W2008278511","https://openalex.org/W2034310170","https://openalex.org/W2046807888","https://openalex.org/W2073514162","https://openalex.org/W2124753288","https://openalex.org/W2126995517","https://openalex.org/W2164042580","https://openalex.org/W2165363188","https://openalex.org/W2285257517","https://openalex.org/W2487852074","https://openalex.org/W2799061466","https://openalex.org/W3140968660","https://openalex.org/W4244494905","https://openalex.org/W4256068510","https://openalex.org/W6678323476"],"related_works":["https://openalex.org/W2019933734","https://openalex.org/W4362661884","https://openalex.org/W2467620780","https://openalex.org/W2111075373","https://openalex.org/W4200622203","https://openalex.org/W2129111551","https://openalex.org/W2045551057","https://openalex.org/W4239711548","https://openalex.org/W4292830007","https://openalex.org/W2134464598"],"abstract_inverted_index":{"Integration":[0],"of":[1,33],"the":[2,30,65,74,108,113],"nonlinear":[3,20,109],"approaches":[4],"for":[5,10],"system":[6],"identification":[7,81],"is":[8,83],"proposed":[9],"spectral":[11],"differentiation":[12],"and":[13,35,52,77,94],"object":[14],"recognition":[15],"in":[16,70],"this":[17],"research.":[18],"Multi-scale":[19],"principal":[21,66],"component":[22],"analysis":[23],"(NCA)":[24],"has":[25,44],"been":[26,45,57],"implemented":[27],"to":[28,47,72,85,106],"analyze":[29,107],"individual":[31],"components":[32,67],"approximations":[34],"details":[36],"based":[37],"on":[38,92],"wavelet":[39,54],"transform.":[40],"Neural":[41],"network":[42],"training":[43],"applied":[46],"NCA":[48],"while":[49],"both":[50,98],"1D":[51],"2D":[53],"transform":[55],"have":[56],"conducted":[58],"across":[59],"different":[60],"scales.":[61],"At":[62],"each":[63],"scale,":[64],"are":[68,97,104],"selected":[69],"order":[71],"reconstruct":[73],"intrinsic":[75],"signal":[76,93],"image.":[78],"This":[79],"statistical":[80],"approach":[82,111],"essential":[84],"enhance":[86],"multivariate":[87],"data":[88],"processing.":[89],"Case":[90],"studies":[91],"image":[95],"processing":[96],"conducted.":[99],"In":[100],"addition,":[101],"quantitative":[102],"measures":[103],"presented":[105],"multi-scale":[110],"from":[112],"objective":[114],"perspectives.":[115]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}