{"id":"https://openalex.org/W2013500730","doi":"https://doi.org/10.1142/s0219691313500227","title":"TRANSIENT TIME-FREQUENCY DISTRIBUTION BASED ON MONO-COMPONENT DECOMPOSITIONS","display_name":"TRANSIENT TIME-FREQUENCY DISTRIBUTION BASED ON MONO-COMPONENT DECOMPOSITIONS","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2013500730","doi":"https://doi.org/10.1142/s0219691313500227","mag":"2013500730"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691313500227","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691313500227","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","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/A5103101821","display_name":"Pei Dang","orcid":null},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"PEI DANG","raw_affiliation_strings":["Department of General Education, Macau University of Science and Technology, Macau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of General Education, Macau University of Science and Technology, Macau","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061909226","display_name":"Tao Qian","orcid":"https://orcid.org/0000-0002-8780-9958"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"TAO QIAN","raw_affiliation_strings":["Department of Mathematics, University of Macau, Macau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Macau, Macau","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101852750","display_name":"Yuan Guo","orcid":"https://orcid.org/0000-0001-6484-4999"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YUAN YUAN GUO","raw_affiliation_strings":["School of Communication &amp; Information Engineering, Shanghai University, Shanghai, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication &amp; Information Engineering, Shanghai University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103101821"],"corresponding_institution_ids":["https://openalex.org/I111950717"],"apc_list":null,"apc_paid":null,"fwci":2.0354,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.8767424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"11","issue":"03","first_page":"1350022","last_page":"1350022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9858999848365784,"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":0.9778000116348267,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.7300801873207092},{"id":"https://openalex.org/keywords/instantaneous-phase","display_name":"Instantaneous phase","score":0.7276047468185425},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.7193560600280762},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.6417593955993652},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5956039428710938},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.5345145463943481},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5217210054397583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44460174441337585},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.3596190810203552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2954155206680298},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.23079359531402588},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07093659043312073}],"concepts":[{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.7300801873207092},{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.7276047468185425},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.7193560600280762},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.6417593955993652},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5956039428710938},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.5345145463943481},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5217210054397583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44460174441337585},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.3596190810203552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2954155206680298},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23079359531402588},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07093659043312073},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691313500227","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691313500227","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W142899727","https://openalex.org/W612406868","https://openalex.org/W1488877410","https://openalex.org/W1570384079","https://openalex.org/W1572758332","https://openalex.org/W1814775863","https://openalex.org/W1963547093","https://openalex.org/W1967867504","https://openalex.org/W1982568209","https://openalex.org/W1993291428","https://openalex.org/W2013209941","https://openalex.org/W2050327327","https://openalex.org/W2071336090","https://openalex.org/W2071743899","https://openalex.org/W2071835567","https://openalex.org/W2082004514","https://openalex.org/W2086494340","https://openalex.org/W2101861455","https://openalex.org/W2115398199","https://openalex.org/W2132085292","https://openalex.org/W2134679800","https://openalex.org/W2141802348","https://openalex.org/W3015646000","https://openalex.org/W3165898261","https://openalex.org/W4235848843"],"related_works":["https://openalex.org/W2134843605","https://openalex.org/W3091698330","https://openalex.org/W1619742598","https://openalex.org/W116012085","https://openalex.org/W2121898104","https://openalex.org/W2362530701","https://openalex.org/W2394182905","https://openalex.org/W2889771308","https://openalex.org/W3099055523","https://openalex.org/W2138631181"],"abstract_inverted_index":{"In":[0,98],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,34,90],"new":[6],"type":[7],"of":[8,33,49,81,84,94,102],"non-negative":[9],"time-frequency":[10,24,66,71],"distribution":[11,25,72],"associated":[12],"with":[13],"mono-components":[14,88,92],"in":[15,89],"both":[16],"the":[17,56,79,82,85,95,100,106,109],"non-periodic":[18],"and":[19,27,104,112],"periodic":[20],"cases,":[21],"called":[22,68],"transient":[23,70],"(TTFD),":[26],"study":[28],"its":[29,42,52],"properties.":[30],"The":[31,46],"TTFD":[32,50,103],"mono-component":[35],"signal":[36],"can":[37],"be":[38],"obtained":[39],"directly":[40],"through":[41],"analytic":[43,57,113],"instantaneous":[44,58,114],"frequency.":[45],"characteristic":[47],"property":[48],"is":[51,76],"complete":[53],"concentration":[54],"along":[55],"frequency":[59,111,115],"graph.":[60],"For":[61],"multi-components":[62],"there":[63],"are":[64,116],"induced":[65],"distributions":[67],"composing":[69,86],"(CTTFD).":[73],"Each":[74],"CTTFD":[75,105],"defined":[77],"as":[78],"superposition":[80],"TTFDs":[83],"intrinsic":[87],"suitable":[91],"decomposition":[93],"targeted":[96],"multi-component.":[97],"studying":[99],"properties":[101],"relations":[107],"between":[108],"Fourier":[110],"examined.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
