{"id":"https://openalex.org/W2165134239","doi":"https://doi.org/10.1109/icassp.1986.1168707","title":"Spectral analysis of order statistic filters","display_name":"Spectral analysis of order statistic filters","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2165134239","doi":"https://doi.org/10.1109/icassp.1986.1168707","mag":"2165134239"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1986.1168707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1168707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5058180961","display_name":"Alfredo Restrepo","orcid":"https://orcid.org/0000-0003-2130-2457"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Restrepo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas, Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas, Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075463806","display_name":"Alan C. Bovik","orcid":"https://orcid.org/0000-0001-6067-710X"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Bovik","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas, Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas, Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.21129049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1353","last_page":"1356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9961000084877014,"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":0.9961000084877014,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9940000176429749,"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":0.9840999841690063,"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/autocovariance","display_name":"Autocovariance","score":0.9247156381607056},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.7708373069763184},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.6706862449645996},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6547693014144897},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6345762610435486},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.5653631687164307},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5055081844329834},{"id":"https://openalex.org/keywords/linear-filter","display_name":"Linear filter","score":0.4906269609928131},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48689237236976624},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.47117191553115845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.397796094417572},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36074721813201904},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.33872324228286743},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.28471893072128296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2627491354942322},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.23128187656402588},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.1231483519077301}],"concepts":[{"id":"https://openalex.org/C88271906","wikidata":"https://www.wikidata.org/wiki/Q786973","display_name":"Autocovariance","level":3,"score":0.9247156381607056},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.7708373069763184},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.6706862449645996},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6547693014144897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6345762610435486},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.5653631687164307},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5055081844329834},{"id":"https://openalex.org/C139722471","wikidata":"https://www.wikidata.org/wiki/Q2619517","display_name":"Linear filter","level":3,"score":0.4906269609928131},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48689237236976624},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.47117191553115845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.397796094417572},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36074721813201904},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33872324228286743},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.28471893072128296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2627491354942322},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.23128187656402588},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.1231483519077301},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1986.1168707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1986.1168707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1987188502","https://openalex.org/W2007148047","https://openalex.org/W2132012589","https://openalex.org/W2136584541","https://openalex.org/W4285719527","https://openalex.org/W6740360241"],"related_works":["https://openalex.org/W4294006382","https://openalex.org/W2186403646","https://openalex.org/W3141056701","https://openalex.org/W49922925","https://openalex.org/W6465822","https://openalex.org/W2153540021","https://openalex.org/W2033849093","https://openalex.org/W2140649649","https://openalex.org/W1538745717","https://openalex.org/W4299664004"],"abstract_inverted_index":{"We":[0],"analyze":[1],"the":[2,9,21,34,37,41,52,81],"effect":[3],"of":[4,13,27,40,51,73],"filter":[5],"coefficient":[6,74],"selection":[7],"on":[8],"power":[10,38],"spectral":[11],"density":[12],"an":[14,77],"order":[15],"statistic":[16],"filtered":[17],"signal.":[18],"Assuming":[19],"that":[20],"input":[22],"signal":[23],"is":[24,63],"a":[25],"sequence":[26],"independent":[28],"and":[29,36],"identically":[30],"distributed":[31],"random":[32],"variates,":[33],"autocovariance":[35],"spectrum":[39],"output":[42],"are":[43,47],"computed.":[44],"These":[45],"PSDs":[46],"compared":[48],"with":[49,59],"those":[50],"corresponding":[53],"linear":[54],"finite":[55],"impulse":[56],"response":[57],"filters":[58],"identical":[60],"coefficients.":[61],"It":[62],"found":[64],"that,":[65],"in":[66,80],"general,":[67],"low":[68],"frequency":[69],"components":[70],"predominate":[71],"regardless":[72],"selection,":[75],"suggesting":[76],"inherent":[78],"smoothing":[79],"ordering":[82],"process.":[83]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
