{"id":"https://openalex.org/W2160977321","doi":"https://doi.org/10.1109/tassp.1987.1165264","title":"A transform domain circular convolution algorithm for adaptive filtering","display_name":"A transform domain circular convolution algorithm for adaptive filtering","publication_year":1987,"publication_date":"1987-08-01","ids":{"openalex":"https://openalex.org/W2160977321","doi":"https://doi.org/10.1109/tassp.1987.1165264","mag":"2160977321"},"language":"en","primary_location":{"id":"doi:10.1109/tassp.1987.1165264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tassp.1987.1165264","pdf_url":null,"source":{"id":"https://openalex.org/S98930721","display_name":"IEEE Transactions on Acoustics Speech and Signal Processing","issn_l":"0096-3518","issn":["0096-3518"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Acoustics, Speech, and Signal 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/A5058369056","display_name":"Gayadhar Panda","orcid":"https://orcid.org/0000-0002-0156-3134"},"institutions":[{"id":"https://openalex.org/I112754052","display_name":"Sambalpur University","ror":"https://ror.org/04s222234","country_code":"IN","type":"education","lineage":["https://openalex.org/I112754052"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB","IN"],"is_corresponding":false,"raw_author_name":"G. Panda","raw_affiliation_strings":["Sambalpur University, India","University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sambalpur University, India","institution_ids":["https://openalex.org/I112754052"]},{"raw_affiliation_string":"University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":null,"display_name":"A. Alvarez","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"A. Alvarez","raw_affiliation_strings":["University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112145900","display_name":"Peter Grant","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"P. Grant","raw_affiliation_strings":["Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109238330","display_name":"C.F.N. Cowan","orcid":null},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"C. Cowan","raw_affiliation_strings":["Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.25644192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"35","issue":"8","first_page":"1217","last_page":"1220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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/convolution","display_name":"Convolution (computer science)","score":0.6833020448684692},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.6789134740829468},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6306227445602417},{"id":"https://openalex.org/keywords/circular-convolution","display_name":"Circular convolution","score":0.6264321804046631},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5918344855308533},{"id":"https://openalex.org/keywords/overlap\u2013add-method","display_name":"Overlap\u2013add method","score":0.5747286081314087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5629662275314331},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5281776785850525},{"id":"https://openalex.org/keywords/multidelay-block-frequency-domain-adaptive-filter","display_name":"Multidelay block frequency domain adaptive filter","score":0.5201249718666077},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.5190039873123169},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5183175802230835},{"id":"https://openalex.org/keywords/kernel-adaptive-filter","display_name":"Kernel adaptive filter","score":0.4923490285873413},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.4797840714454651},{"id":"https://openalex.org/keywords/raders-fft-algorithm","display_name":"Rader's FFT algorithm","score":0.43918681144714355},{"id":"https://openalex.org/keywords/convolution-theorem","display_name":"Convolution theorem","score":0.4233311414718628},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4073067009449005},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.2556569576263428},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.17777308821678162},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1543995440006256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14792117476463318},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06777998805046082},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.059510231018066406}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6833020448684692},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.6789134740829468},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6306227445602417},{"id":"https://openalex.org/C194980680","wikidata":"https://www.wikidata.org/wiki/Q245450","display_name":"Circular convolution","level":5,"score":0.6264321804046631},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5918344855308533},{"id":"https://openalex.org/C181002996","wikidata":"https://www.wikidata.org/wiki/Q1611641","display_name":"Overlap\u2013add method","level":5,"score":0.5747286081314087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5629662275314331},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5281776785850525},{"id":"https://openalex.org/C36638914","wikidata":"https://www.wikidata.org/wiki/Q17104404","display_name":"Multidelay block frequency domain adaptive filter","level":5,"score":0.5201249718666077},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.5190039873123169},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5183175802230835},{"id":"https://openalex.org/C13107197","wikidata":"https://www.wikidata.org/wiki/Q6394192","display_name":"Kernel adaptive filter","level":4,"score":0.4923490285873413},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.4797840714454651},{"id":"https://openalex.org/C69598009","wikidata":"https://www.wikidata.org/wiki/Q7280126","display_name":"Rader's FFT algorithm","level":5,"score":0.43918681144714355},{"id":"https://openalex.org/C79587385","wikidata":"https://www.wikidata.org/wiki/Q2638931","display_name":"Convolution theorem","level":5,"score":0.4233311414718628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4073067009449005},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.2556569576263428},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.17777308821678162},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1543995440006256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14792117476463318},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06777998805046082},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.059510231018066406},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tassp.1987.1165264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tassp.1987.1165264","pdf_url":null,"source":{"id":"https://openalex.org/S98930721","display_name":"IEEE Transactions on Acoustics Speech and Signal Processing","issn_l":"0096-3518","issn":["0096-3518"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Acoustics, Speech, and Signal 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":17,"referenced_works":["https://openalex.org/W1966264494","https://openalex.org/W1985817935","https://openalex.org/W2010473430","https://openalex.org/W2033133303","https://openalex.org/W2059699096","https://openalex.org/W2073086065","https://openalex.org/W2101620555","https://openalex.org/W2102800590","https://openalex.org/W2110075977","https://openalex.org/W2112704467","https://openalex.org/W2117481010","https://openalex.org/W2123718970","https://openalex.org/W2133247229","https://openalex.org/W2142603808","https://openalex.org/W2156300197","https://openalex.org/W2164729314","https://openalex.org/W4236087597"],"related_works":["https://openalex.org/W4363675452","https://openalex.org/W4372260258","https://openalex.org/W2267589039","https://openalex.org/W1483140925","https://openalex.org/W2759540840","https://openalex.org/W4253408561","https://openalex.org/W2982446276","https://openalex.org/W2049065832","https://openalex.org/W4134551","https://openalex.org/W2127814561"],"abstract_inverted_index":{"A":[0],"new":[1],"transform":[2,46],"domain":[3,47],"adaptive":[4,58],"digital":[5,59],"filter":[6,25],"using":[7],"the":[8,41,45,55],"common":[9],"LMS":[10],"adaptation":[11],"algorithm":[12,20],"based":[13],"on":[14],"a":[15],"highly":[16],"efficient":[17],"circular":[18],"convolution":[19],"is":[21,36],"presented.":[22],"The":[23],"proposed":[24],"has":[26,49],"an":[27],"easily":[28],"implementable":[29],"structure":[30],"involving":[31],"only":[32],"real-valued":[33],"arithmetic.":[34],"It":[35],"shown":[37],"to":[38,40],"converge":[39],"Wiener":[42],"solution":[43],"in":[44,52],"and":[48],"significant":[50],"advantage":[51],"efficiency":[53],"over":[54],"corresponding":[56],"FFT-based":[57],"filters.":[60]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}