{"id":"https://openalex.org/W4388821225","doi":"https://doi.org/10.1109/apsipaasc58517.2023.10317384","title":"Multitaper Adaptive Time-Frequency Windowed Fourier Transform Based on the Reliable Region of Window Widths","display_name":"Multitaper Adaptive Time-Frequency Windowed Fourier Transform Based on the Reliable Region of Window Widths","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388821225","doi":"https://doi.org/10.1109/apsipaasc58517.2023.10317384"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc58517.2023.10317384","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/apsipaasc58517.2023.10317384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5102802755","display_name":"Jen\u2010Chieh Cheng","orcid":"https://orcid.org/0000-0003-4894-2964"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Chieh Cheng","raw_affiliation_strings":["National Taiwan University,Taiwan","National Taiwan University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022371410","display_name":"Jian\u2013Jiun Ding","orcid":"https://orcid.org/0000-0003-4510-2273"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jian-Jiun Ding","raw_affiliation_strings":["National Taiwan University,Taiwan","National Taiwan University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University,Taiwan","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.3397,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59495612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2354","last_page":"2361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9843999743461609,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9807999730110168,"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/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.8298388719558716},{"id":"https://openalex.org/keywords/multitaper","display_name":"Multitaper","score":0.7716671228408813},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.6655644178390503},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.6420801281929016},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6369085907936096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5674851536750793},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5556010007858276},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5460725426673889},{"id":"https://openalex.org/keywords/window-function","display_name":"Window function","score":0.5266901254653931},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.49902963638305664},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4342876672744751},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4122242033481598},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36450493335723877},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.22096121311187744},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16611558198928833},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.1625579595565796},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.12625917792320251},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09447932243347168},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08043953776359558}],"concepts":[{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.8298388719558716},{"id":"https://openalex.org/C2777067715","wikidata":"https://www.wikidata.org/wiki/Q3327726","display_name":"Multitaper","level":2,"score":0.7716671228408813},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.6655644178390503},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.6420801281929016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6369085907936096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5674851536750793},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5556010007858276},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5460725426673889},{"id":"https://openalex.org/C140101238","wikidata":"https://www.wikidata.org/wiki/Q1404885","display_name":"Window function","level":3,"score":0.5266901254653931},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.49902963638305664},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4342876672744751},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4122242033481598},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36450493335723877},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.22096121311187744},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16611558198928833},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.1625579595565796},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.12625917792320251},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09447932243347168},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08043953776359558},{"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:10.1109/apsipaasc58517.2023.10317384","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/apsipaasc58517.2023.10317384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1971696102","https://openalex.org/W1980721798","https://openalex.org/W2006023518","https://openalex.org/W2013454018","https://openalex.org/W2054878302","https://openalex.org/W2083652170","https://openalex.org/W2090218979","https://openalex.org/W2140147143","https://openalex.org/W2158158564","https://openalex.org/W2243550199","https://openalex.org/W2541373928","https://openalex.org/W2603233227","https://openalex.org/W2791363971","https://openalex.org/W2921245937","https://openalex.org/W2963786287","https://openalex.org/W2963960917","https://openalex.org/W2964141725","https://openalex.org/W3119740068","https://openalex.org/W3172955253","https://openalex.org/W4206711804","https://openalex.org/W4213070475","https://openalex.org/W4223967273","https://openalex.org/W4307723614"],"related_works":["https://openalex.org/W4205152111","https://openalex.org/W2393357744","https://openalex.org/W4221076379","https://openalex.org/W2337188777","https://openalex.org/W2326454079","https://openalex.org/W564939545","https://openalex.org/W2100209102","https://openalex.org/W2158469563","https://openalex.org/W2105558903","https://openalex.org/W4232826315"],"abstract_inverted_index":{"The":[0],"window":[1,88,113,133,141],"width":[2,52],"of":[3,16,26,86,111],"the":[4,14,17,24,27,38,42,50,56,73,83,87,99,108,112,120,139,145,149],"short-time":[5],"Fourier":[6,29,125],"transform":[7,30,45,126],"(STFT)":[8],"has":[9,66,129],"a":[10,60,67,117,154],"critical":[11],"effect":[12],"on":[13,107],"resolution":[15],"time-frequency":[18,123,155],"distribution.":[19],"Until":[20],"now,":[21],"due":[22,71],"to":[23,72],"limitation":[25],"fast":[28],"(FFT)":[31],"algorithm,":[32],"traditional":[33],"adaptive":[34,39,43,63,122],"methods,":[35],"such":[36],"as":[37],"STFT":[40],"and":[41,93,131,148,152],"synchrosqueezing":[44],"(ST),":[46],"either":[47],"only":[48,54],"considerer":[49,55],"time-domain":[51],"or":[53],"frequency-domain":[57],"width.":[58],"However,":[59],"more":[61],"general":[62],"method":[64,118],"usually":[65],"higher":[68],"computation":[69],"complexity":[70],"search":[74],"for":[75,90,102,143],"optimal":[76,103,140],"parameters.":[77,104],"In":[78],"this":[79],"paper,":[80],"we":[81,115],"propose":[82,116],"reliable":[84,109],"region":[85,110],"widths":[89],"both":[91,144],"time":[92,146],"frequency":[94,150],"axes.":[95],"We":[96],"also":[97],"simplify":[98],"searching":[100],"process":[101],"Moreover,":[105],"based":[106],"widths,":[114],"called":[119],"multitaper":[121],"windowed":[124],"(MATFWFT)":[127],"that":[128],"time-variant":[130],"frequency-variant":[132],"size.":[134],"It":[135],"can":[136],"simultaneously":[137],"estimate":[138],"size":[142],"axis":[147,151],"achieve":[153],"analysis":[156],"result":[157],"with":[158],"high":[159],"energy":[160],"concentration.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
