{"id":"https://openalex.org/W1917899497","doi":"https://doi.org/10.1109/icassp.1982.1171782","title":"Fast approximate whitening ladder filter","display_name":"Fast approximate whitening ladder filter","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1917899497","doi":"https://doi.org/10.1109/icassp.1982.1171782","mag":"1917899497"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1982.1171782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. 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/A5032551088","display_name":"John F. Turner","orcid":"https://orcid.org/0000-0001-7584-0985"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J. Turner","raw_affiliation_strings":["Information Systems Laboratory, University of Stanford, Stanford, CA, USA","Stanford University Stanford CA"],"affiliations":[{"raw_affiliation_string":"Information Systems Laboratory, University of Stanford, Stanford, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Stanford University Stanford CA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032551088"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1169464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"655","last_page":"658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998000264167786,"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":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6802315711975098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6763863563537598},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5187838077545166},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.5021011829376221},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48041701316833496},{"id":"https://openalex.org/keywords/lookup-table","display_name":"Lookup table","score":0.4752233624458313},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.47270843386650085},{"id":"https://openalex.org/keywords/bandlimiting","display_name":"Bandlimiting","score":0.44761922955513},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.44749096035957336},{"id":"https://openalex.org/keywords/lattice-phase-equaliser","display_name":"Lattice phase equaliser","score":0.42097172141075134},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4205250144004822},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.3278653919696808},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.2564266622066498},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21642997860908508},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1356111466884613},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1288939118385315},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.10695770382881165}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6802315711975098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6763863563537598},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5187838077545166},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.5021011829376221},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48041701316833496},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.4752233624458313},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.47270843386650085},{"id":"https://openalex.org/C129997835","wikidata":"https://www.wikidata.org/wiki/Q806263","display_name":"Bandlimiting","level":3,"score":0.44761922955513},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.44749096035957336},{"id":"https://openalex.org/C111104540","wikidata":"https://www.wikidata.org/wiki/Q1807061","display_name":"Lattice phase equaliser","level":3,"score":0.42097172141075134},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4205250144004822},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.3278653919696808},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.2564266622066498},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21642997860908508},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1356111466884613},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1288939118385315},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.10695770382881165},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1982.1171782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W626217036","https://openalex.org/W1928336484","https://openalex.org/W1930777297","https://openalex.org/W1955877992","https://openalex.org/W1960456018","https://openalex.org/W2004823017","https://openalex.org/W2022554507","https://openalex.org/W2052659645","https://openalex.org/W2122303316","https://openalex.org/W2125275685","https://openalex.org/W3093664000"],"related_works":["https://openalex.org/W1843447117","https://openalex.org/W2088199157","https://openalex.org/W1865052810","https://openalex.org/W2105105123","https://openalex.org/W2141480002","https://openalex.org/W4381571466","https://openalex.org/W2016687470","https://openalex.org/W1974641914","https://openalex.org/W2095135700","https://openalex.org/W2114975100"],"abstract_inverted_index":{"The":[0,30,133,178,249],"process":[1,266],"of":[2,52,62,146,167,180,233,251],"whitening":[3,136,255],"or":[4,55,95,116],"decorrelating":[5],"is":[6,82,88,220,223,236,258],"used":[7,126,195,242],"extensively":[8],"in":[9,154,171,196,205],"detection":[10],"and":[11,143,174,216],"estimation":[12,239],"problems.":[13],"Far":[14],"situations":[15],"where":[16,229],"the":[17,53,78,85,102,120,129,140,147,155,168,181,206,210,231,234,252],"signal":[18,247],"characteristics":[19,73],"are":[20,28,36,105],"time":[21,70,93],"varying,":[22],"adaptive":[23],"processing":[24],"that":[25,194,222,272],"will":[26],"track":[27,69],"necessary.":[29],"standard":[31],"block":[32],"data":[33,43,79,235],"autoregressive":[34],"model":[35,103,198],"computationally":[37,173],"inefficient":[38],"when":[39,77],"applied":[40],"to":[41,68,107,112,127,208,243,245,261],"sliding":[42,227],"frames":[44],"with":[45],"high":[46],"percentage":[47],"overlaps.":[48],"Recursive":[49],"techniques,":[50],"either":[51],"gradient":[54],"exact":[56],"solution":[57],"type":[58],"using":[59,274],"exponential":[60],"weighting":[61],"post":[63],"data,":[64],"have":[65,108],"been":[66,185],"shown":[67],"varying":[71],"spectral":[72],"quite":[74],"accurately.":[75],"However":[76],"sampling":[80],"rate":[81],"very":[83],"high,":[84],"computational":[86],"complexity":[87],"too":[89],"much":[90],"for":[91,187],"real":[92],"implementation":[94,131],"requires":[96],"several":[97],"expensive":[98],"multiplier":[99,277],"chips.":[100,278],"When":[101],"coefficients":[104,145],"required":[106],"only":[109,230],"limited":[110],"accuracy":[111,179,192],"meet":[113],"transmission":[114],"bandwidth":[115],"storage":[117],"memory":[118,228],"requirements,":[119],"technique":[121,240],"presented":[122],"here":[123],"can":[124,199,241],"be":[125,200],"reduce":[128],"hardware":[130],"requirements.":[132],"fast":[134,148,253],"approximate":[135,162,254],"ladder":[137,141,157,256],"filter":[138,257],"uses":[139],"structure":[142],"reflection":[144,182,211],"tracking":[149],"recursive":[150,156],"algorithms":[151],"above.":[152],"As":[153],"algorithms,":[158],"it":[159],"performs":[160],"an":[161],"stage":[163,165,204],"by":[164],"orthogonalization":[166],"input":[169],"signal,":[170],"a":[172,217,226,265],"implementationally":[175],"simple":[176],"fashion.":[177],"coefficient":[183,212],"has":[184],"compromised":[186],"this":[188,238],"simplicity.":[189],"but":[190],"similar":[191],"as":[193],"speech":[197],"obtained.":[201],"At":[202],"each":[203],"ladder,":[207],"estimate":[209],"polarity":[213],"coincidence":[214],"counting":[215],"table":[218],"lookup":[219],"all":[221],"required.":[224],"Using":[225],"sign":[232],"stored,":[237],"adapt":[244],"changing":[246],"characteristics.":[248],"virtue":[250],"its":[259],"ability":[260],"adaptively":[262],"decorrelate":[263],"(whiten)":[264],"sampled":[267],"at":[268],"rates":[269],"faster":[270],"than":[271],"possible":[273],"computations":[275],"requiring":[276]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
