{"id":"https://openalex.org/W4408354063","doi":"https://doi.org/10.1109/icassp49660.2025.10890724","title":"Fast Sparse DFT Computation for Arbitrary Length by Circular Convolution","display_name":"Fast Sparse DFT Computation for Arbitrary Length by Circular Convolution","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354063","doi":"https://doi.org/10.1109/icassp49660.2025.10890724"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5085279585","display_name":"Soo\u2010Chang Pei","orcid":"https://orcid.org/0000-0003-2448-4196"},"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":true,"raw_author_name":"Soo-Chang Pei","raw_affiliation_strings":["National Taiwan University,Department of Electrical Engineering,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Electrical Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054825387","display_name":"Kuo-Wei Chang","orcid":"https://orcid.org/0000-0002-5987-6862"},"institutions":[{"id":"https://openalex.org/I92172085","display_name":"Chunghwa Telecom (Taiwan)","ror":"https://ror.org/04f786589","country_code":"TW","type":"company","lineage":["https://openalex.org/I92172085"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuo-Wei Chang","raw_affiliation_strings":["Chunghwa Telecom Co., Ltd.,Advanced Technology Laboratory Telecommunication Laboratories,Taipei,Taiwan"],"affiliations":[{"raw_affiliation_string":"Chunghwa Telecom Co., Ltd.,Advanced Technology Laboratory Telecommunication Laboratories,Taipei,Taiwan","institution_ids":["https://openalex.org/I92172085"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085279585"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.7467,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69339826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10299","display_name":"Photonic and Optical Devices","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10299","display_name":"Photonic and Optical Devices","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10232","display_name":"Optical Network Technologies","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/convolution","display_name":"Convolution (computer science)","score":0.6891027688980103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6297138929367065},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6210640668869019},{"id":"https://openalex.org/keywords/circular-convolution","display_name":"Circular convolution","score":0.5585247278213501},{"id":"https://openalex.org/keywords/overlap\u2013add-method","display_name":"Overlap\u2013add method","score":0.4423033595085144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4252152442932129},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3243022859096527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15904119610786438},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09030783176422119},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.08146235346794128}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6891027688980103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6297138929367065},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6210640668869019},{"id":"https://openalex.org/C194980680","wikidata":"https://www.wikidata.org/wiki/Q245450","display_name":"Circular convolution","level":5,"score":0.5585247278213501},{"id":"https://openalex.org/C181002996","wikidata":"https://www.wikidata.org/wiki/Q1611641","display_name":"Overlap\u2013add method","level":5,"score":0.4423033595085144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4252152442932129},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3243022859096527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15904119610786438},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09030783176422119},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.08146235346794128},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.0},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"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":14,"referenced_works":["https://openalex.org/W1966904279","https://openalex.org/W1983695700","https://openalex.org/W1985765205","https://openalex.org/W1996933093","https://openalex.org/W2058426737","https://openalex.org/W2061171222","https://openalex.org/W2086890109","https://openalex.org/W2107625832","https://openalex.org/W2982699408","https://openalex.org/W3129757672","https://openalex.org/W4213144751","https://openalex.org/W4388286247","https://openalex.org/W6606131910","https://openalex.org/W6650076440"],"related_works":["https://openalex.org/W2133280289","https://openalex.org/W3106959200","https://openalex.org/W2267589039","https://openalex.org/W2382152453","https://openalex.org/W4372260258","https://openalex.org/W2388359778","https://openalex.org/W2385700956","https://openalex.org/W2143803328","https://openalex.org/W2126886659","https://openalex.org/W2361284596"],"abstract_inverted_index":{"Efficient":[0],"computation":[1],"of":[2,63,79,102,125,132,141],"the":[3,66,77,80,111,119,130,139,145],"Discrete":[4],"Fourier":[5,24],"Transform":[6,25],"(DFT)":[7],"for":[8,36,50,100,147],"signals":[9,37,51,88,101],"with":[10,38,52,89],"structured":[11,40,126],"frequency":[12,81],"support":[13],"remains":[14],"a":[15,56,61,64],"significant":[16],"challenge":[17],"in":[18,71,152],"signal":[19,134,150],"processing.":[20],"The":[21],"traditional":[22],"Fast":[23],"(FFT)":[26],"algorithm":[27],"achieves":[28],"O(NlogN)":[29],"complexity,":[30],"but":[31],"substantial":[32],"improvements":[33],"are":[34],"possible":[35],"known":[39],"supports.":[41],"In":[42],"prior":[43],"work,":[44],"Pochimireddy":[45],"et":[46],"al.":[47],"demonstrated":[48],"that":[49,59],"homogeneous":[53],"supports":[54],"and":[55,122],"length":[57],"N":[58],"is":[60,76],"power":[62],"prime,":[65],"DFT":[67,127],"can":[68],"be":[69],"computed":[70],"O(klogk)":[72],"time,":[73],"where":[74],"k":[75],"size":[78],"support.":[82],"However,":[83],"this":[84],"work":[85],"was":[86],"restricted":[87],"specific":[90],"lengths.":[91,135],"This":[92],"paper":[93],"extends":[94],"these":[95],"results":[96],"by":[97],"developing":[98],"algorithms":[99],"arbitrary":[103],"lengths":[104],"using":[105],"circular":[106],"convolution":[107],"techniques":[108],"to":[109],"achieve":[110],"same":[112],"computational":[113],"efficiency.":[114],"Our":[115],"proposed":[116],"methods":[117],"enhance":[118],"theoretical":[120],"framework":[121],"practical":[123],"utility":[124],"computation,":[128],"extending":[129],"range":[131],"applicable":[133],"Numerous":[136],"examples":[137],"demonstrate":[138],"effectiveness":[140],"our":[142],"approach,":[143],"paving":[144],"way":[146],"more":[148],"efficient":[149],"processing":[151],"various":[153],"modern":[154],"applications.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}