{"id":"https://openalex.org/W2884332604","doi":"https://doi.org/10.1155/2018/8426790","title":"Intrinsic Mode Chirp Multicomponent Decomposition with Kernel Sparse Learning for Overlapped Nonstationary Signals Involving Big Data","display_name":"Intrinsic Mode Chirp Multicomponent Decomposition with Kernel Sparse Learning for Overlapped Nonstationary Signals Involving Big Data","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2884332604","doi":"https://doi.org/10.1155/2018/8426790","mag":"2884332604"},"language":"en","primary_location":{"id":"doi:10.1155/2018/8426790","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/8426790","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/8426790.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://downloads.hindawi.com/journals/complexity/2018/8426790.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004012018","display_name":"Haixin Sun","orcid":"https://orcid.org/0000-0001-8249-1197"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haixin Sun","raw_affiliation_strings":["Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education, Xiamen University, Xiamen 361005, China","School of Information Science and Engineering, Xiamen University, Xiamen 361005, China","School of Information Science and Engineering, Xiamen University, Xiamen 361005","Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education, Xiamen University, Xiamen 361005"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education, Xiamen University, Xiamen 361005, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen 361005, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen 361005","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Key Laboratory of Underwater Acoustic Communication and Marine Information Technology, Ministry of Education, Xiamen University, Xiamen 361005","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017192339","display_name":"Yongchun Miao","orcid":"https://orcid.org/0000-0002-1693-2158"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchun Miao","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University, Xiamen 361005, China","School of Information Science and Engineering, Xiamen University, Xiamen 361005"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen 361005, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen 361005","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101828924","display_name":"Jie Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Qi","raw_affiliation_strings":["School of Information Science and Engineering, Xiamen University, Xiamen 361005, China","School of Information Science and Engineering, Xiamen University, Xiamen 361005"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen 361005, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"School of Information Science and Engineering, Xiamen University, Xiamen 361005","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004012018"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.3745,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60428217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2018","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/chirp","display_name":"Chirp","score":0.8299744725227356},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6341641545295715},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5669134259223938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5219345092773438},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.5047167539596558},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46187710762023926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44243982434272766},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.432783842086792},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.4259493947029114},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4236938953399658},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4216432273387909},{"id":"https://openalex.org/keywords/instantaneous-phase","display_name":"Instantaneous phase","score":0.4192933440208435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40425407886505127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3841592073440552},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.12239396572113037},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.113064706325531},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.09072566032409668}],"concepts":[{"id":"https://openalex.org/C132794960","wikidata":"https://www.wikidata.org/wiki/Q27304","display_name":"Chirp","level":3,"score":0.8299744725227356},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6341641545295715},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5669134259223938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5219345092773438},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.5047167539596558},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46187710762023926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44243982434272766},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.432783842086792},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4259493947029114},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4236938953399658},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4216432273387909},{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.4192933440208435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40425407886505127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3841592073440552},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.12239396572113037},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.113064706325531},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.09072566032409668},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2018/8426790","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/8426790","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/8426790.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:8426790","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2018/8426790.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2018/8426790","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/8426790","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/8426790.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2321219723","display_name":null,"funder_award_id":"61671394","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4872122564","display_name":null,"funder_award_id":"616713","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G510237971","display_name":null,"funder_award_id":"61471309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5670239092","display_name":null,"funder_award_id":"017004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6472682533","display_name":null,"funder_award_id":"2017004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6522019636","display_name":null,"funder_award_id":"61671394","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7536291906","display_name":null,"funder_award_id":"20720170044","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2884332604.pdf","grobid_xml":"https://content.openalex.org/works/W2884332604.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1565952470","https://openalex.org/W1966048296","https://openalex.org/W1977012271","https://openalex.org/W1980721798","https://openalex.org/W1985437849","https://openalex.org/W1997231965","https://openalex.org/W2000414470","https://openalex.org/W2025107744","https://openalex.org/W2029819238","https://openalex.org/W2054878302","https://openalex.org/W2077664060","https://openalex.org/W2090218979","https://openalex.org/W2113317424","https://openalex.org/W2140554090","https://openalex.org/W2149540930","https://openalex.org/W2153594606","https://openalex.org/W2165168465","https://openalex.org/W2166441336","https://openalex.org/W2343141272","https://openalex.org/W2344566456","https://openalex.org/W2346454973","https://openalex.org/W2416903647","https://openalex.org/W2467427493","https://openalex.org/W2557478438","https://openalex.org/W2562421216","https://openalex.org/W2583356199","https://openalex.org/W2584551907","https://openalex.org/W2600223819","https://openalex.org/W2603233227","https://openalex.org/W2618517197","https://openalex.org/W2625067038","https://openalex.org/W2742644795","https://openalex.org/W4251576161"],"related_works":["https://openalex.org/W1963866720","https://openalex.org/W2384389642","https://openalex.org/W2162548278","https://openalex.org/W2040302182","https://openalex.org/W116012085","https://openalex.org/W2078332635","https://openalex.org/W2364188284","https://openalex.org/W2108583803","https://openalex.org/W2189003114","https://openalex.org/W4283516365"],"abstract_inverted_index":{"We":[0,13],"focus":[1],"on":[2],"the":[3,15,22,27,33,39,55,58,63,73,77,88,91,108,112,120,124,135,138],"decomposition":[4,129],"problem":[5],"for":[6,21],"nonstationary":[7],"multicomponent":[8,41,113],"signals":[9],"involving":[10],"Big":[11],"Data.":[12],"propose":[14],"kernel":[16],"sparse":[17],"learning":[18],"(KSL),":[19],"developed":[20],"T\u2010F":[23,121],"reassignment":[24],"algorithm":[25],"by":[26,119],"path":[28],"penalty":[29],"function,":[30],"to":[31,53,71,144],"decompose":[32],"instantaneous":[34],"frequencies":[35],"(IFs)":[36],"ridges":[37],"of":[38,50,57,65,90,105,111,137],"overlapped":[40],"from":[42],"a":[43,100],"time\u2010frequency":[44],"representation":[45],"(TFR).":[46],"The":[47,81],"main":[48],"objective":[49],"KSL":[51],"is":[52,85,130,140],"minimize":[54],"error":[56],"prediction":[59],"process":[60],"while":[61],"minimizing":[62],"amount":[64],"training":[66,78],"samples":[67],"used":[68],"and":[69],"thus":[70],"cut":[72],"costs":[74],"interrelated":[75],"with":[76],"sample":[79],"collection.":[80],"IFs":[82,109,125],"first":[83],"extraction":[84],"decided":[86],"using":[87],"framework":[89],"intrinsic":[92],"mode":[93],"polynomial":[94],"chirp":[95],"transform":[96],"(IMPCT),":[97],"which":[98,149],"obtains":[99],"brief":[101],"local":[102],"orthogonal":[103],"TFR":[104],"signals.":[106],"Then,":[107],"curves":[110],"signal":[114],"can":[115],"be":[116],"easily":[117],"reconstructed":[118],"reassignment.":[122],"After":[123],"are":[126],"extracted,":[127],"component":[128],"performed":[131],"through":[132],"KSL.":[133],"Finally,":[134],"performance":[136],"method":[139],"compared":[141],"when":[142],"applied":[143],"several":[145],"simulated":[146],"micro\u2010Doppler":[147],"signals,":[148],"shows":[150],"its":[151],"effectiveness":[152],"in":[153],"various":[154],"applications.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}