{"id":"https://openalex.org/W2054985218","doi":"https://doi.org/10.1109/icinfa.2013.6720434","title":"A comparative study on estimation of instantaneous frequency by means of LMD","display_name":"A comparative study on estimation of instantaneous frequency by means of LMD","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2054985218","doi":"https://doi.org/10.1109/icinfa.2013.6720434","mag":"2054985218"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2013.6720434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2013.6720434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5028817995","display_name":"Haomin Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haomin Dai","raw_affiliation_strings":["Institute of Aircraft Detection and Application, College of Naval Aeronautical and Engineering, Yantai, Shandong Province, China","Inst. of Aircraft Detection & Applic., Coll. of Naval Aeronaut. & Eng., Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Aircraft Detection and Application, College of Naval Aeronautical and Engineering, Yantai, Shandong Province, China","institution_ids":["https://openalex.org/I4210162215"]},{"raw_affiliation_string":"Inst. of Aircraft Detection & Applic., Coll. of Naval Aeronaut. & Eng., Yantai, China","institution_ids":["https://openalex.org/I4210162215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100758712","display_name":"Aiqiang Xu","orcid":"https://orcid.org/0000-0001-9109-3385"},"institutions":[{"id":"https://openalex.org/I4210162215","display_name":"Naval Aeronautical and Astronautical University","ror":"https://ror.org/02j2yhq26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiqiang Xu","raw_affiliation_strings":["Institute of Aircraft Detection and Application, College of Naval Aeronautical and Engineering, Yantai, Shandong Province, China","Inst. of Aircraft Detection & Applic., Coll. of Naval Aeronaut. & Eng., Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Aircraft Detection and Application, College of Naval Aeronautical and Engineering, Yantai, Shandong Province, China","institution_ids":["https://openalex.org/I4210162215"]},{"raw_affiliation_string":"Inst. of Aircraft Detection & Applic., Coll. of Naval Aeronaut. & Eng., Yantai, China","institution_ids":["https://openalex.org/I4210162215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210162215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18060599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"964","last_page":"969"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9961000084877014,"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":0.9961000084877014,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9754999876022339,"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"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9682999849319458,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/instantaneous-phase","display_name":"Instantaneous phase","score":0.8530302047729492},{"id":"https://openalex.org/keywords/energy-operator","display_name":"Energy operator","score":0.6304143071174622},{"id":"https://openalex.org/keywords/hilbert-transform","display_name":"Hilbert transform","score":0.6060178875923157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5722655057907104},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5440773367881775},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.5013372898101807},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.4996955394744873},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49569380283355713},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.4748794436454773},{"id":"https://openalex.org/keywords/spline-interpolation","display_name":"Spline interpolation","score":0.4674051105976105},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.3881837725639343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32426929473876953},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.2238381803035736},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.2014186978340149},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12312117218971252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11639639735221863},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.08461254835128784}],"concepts":[{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.8530302047729492},{"id":"https://openalex.org/C19579662","wikidata":"https://www.wikidata.org/wiki/Q461145","display_name":"Energy operator","level":3,"score":0.6304143071174622},{"id":"https://openalex.org/C28799612","wikidata":"https://www.wikidata.org/wiki/Q685437","display_name":"Hilbert transform","level":3,"score":0.6060178875923157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5722655057907104},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5440773367881775},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.5013372898101807},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.4996955394744873},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49569380283355713},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.4748794436454773},{"id":"https://openalex.org/C31447003","wikidata":"https://www.wikidata.org/wiki/Q545002","display_name":"Spline interpolation","level":3,"score":0.4674051105976105},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3881837725639343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32426929473876953},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.2238381803035736},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2014186978340149},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12312117218971252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11639639735221863},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.08461254835128784},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2013.6720434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2013.6720434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1991946919","https://openalex.org/W2007221293","https://openalex.org/W2066532218","https://openalex.org/W2088202114","https://openalex.org/W2114537326","https://openalex.org/W2140554090","https://openalex.org/W2164847051","https://openalex.org/W2322180979","https://openalex.org/W2382484111","https://openalex.org/W3182605359","https://openalex.org/W4299552129"],"related_works":["https://openalex.org/W4242644833","https://openalex.org/W1963866720","https://openalex.org/W2118564157","https://openalex.org/W2021616674","https://openalex.org/W2384389642","https://openalex.org/W2002496381","https://openalex.org/W2107880197","https://openalex.org/W2356737465","https://openalex.org/W1969685563","https://openalex.org/W2065925315"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,67,69,120],"solve":[3,100],"the":[4,8,36,43,50,75,94,101,122,138,145,150],"problem":[5],"of":[6,13,35,40,52,96,103,125,147,152],"calculating":[7],"instantaneous":[9,97,104,123,153],"frequency":[10,105,124,154],"by":[11,55,87,106],"means":[12],"local":[14],"mean":[15],"decomposition,":[16],"four":[17],"methods":[18],"were":[19],"introduced":[20],"such":[21],"as":[22],"Hilbert":[23,56],"transform,":[24],"Teager":[25,61],"energy":[26,62],"operator,":[27],"direct":[28],"quadrature":[29],"and":[30,38,72,74,91,134,149],"inverse":[31,81,107,140],"cosine.":[32],"By":[33],"analysis":[34],"advantages":[37],"disadvantages":[39],"various":[41],"methods,":[42],"following":[44],"conclusions":[45],"could":[46,84,143],"be":[47,85],"made:":[48],"first,":[49],"phenomenon":[51,146],"end":[53],"swing":[54],"transform":[57],"was":[58,65,77,113,130,155],"obvious;":[59],"second,":[60],"operator":[63],"method":[64,83,142],"easy":[66],"susceptible":[68],"signal":[70,88,126],"form":[71],"noise,":[73],"error":[76,151],"relatively":[78],"large;":[79],"third,":[80],"cosine":[82,108,141],"influenced":[86],"extreme":[89,127],"points":[90],"brought":[92],"in":[93],"mutations":[95,102],"frequency.":[98],"To":[99],"method,":[109],"an":[110],"improved":[111,139],"algorithm":[112],"proposed,":[114],"which":[115],"used":[116],"cubic":[117],"B-spline":[118],"interpolation":[119],"obtain":[121],"points.":[128],"It":[129],"shown":[131],"from":[132],"simulation":[133],"experimental":[135],"results":[136],"that":[137],"avoid":[144],"mutation":[148],"smaller.":[156]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}