{"id":"https://openalex.org/W1819808564","doi":"https://doi.org/10.1109/icassp.1985.1168258","title":"Rational parametric coherence estimation via convolved correlations","display_name":"Rational parametric coherence estimation via convolved correlations","publication_year":2005,"publication_date":"2005-03-23","ids":{"openalex":"https://openalex.org/W1819808564","doi":"https://doi.org/10.1109/icassp.1985.1168258","mag":"1819808564"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1985.1168258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. 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/A5023611913","display_name":"J.A. Cadzow","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J. Cadzow","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Arizona State University, Tempe, AZ, USA","Arizona State University , Tempe , AZ , USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arizona State University , Tempe , AZ , USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110303230","display_name":"O.M. Solomon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]},{"id":"https://openalex.org/I192454743","display_name":"Sandia National Laboratories California","ror":"https://ror.org/058m7ey48","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1330989302","https://openalex.org/I192454743","https://openalex.org/I198811213","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"O. Solomon","raw_affiliation_strings":["Sandia National Laboratories, Albuquerque, NM, USA","Sandia National Lab, Albuquerque, NM (USA)"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I4210104735"]},{"raw_affiliation_string":"Sandia National Lab, Albuquerque, NM (USA)","institution_ids":["https://openalex.org/I192454743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033821693","display_name":"S.D. Stearns","orcid":null},"institutions":[{"id":"https://openalex.org/I192454743","display_name":"Sandia National Laboratories California","ror":"https://ror.org/058m7ey48","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1330989302","https://openalex.org/I192454743","https://openalex.org/I198811213","https://openalex.org/I198811213","https://openalex.org/I4210104735"]},{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Stearns","raw_affiliation_strings":["Sandia National Laboratories, Albuquerque, NM, USA","Sandia National Lab, Albuquerque, NM (USA)"],"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I4210104735"]},{"raw_affiliation_string":"Sandia National Lab, Albuquerque, NM (USA)","institution_ids":["https://openalex.org/I192454743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023611913"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08295778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"1341","last_page":"1344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9943000078201294,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9918000102043152,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.7440224289894104},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.6851890087127686},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6647547483444214},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6131786108016968},{"id":"https://openalex.org/keywords/cross-correlation","display_name":"Cross-correlation","score":0.45047080516815186},{"id":"https://openalex.org/keywords/rational-function","display_name":"Rational function","score":0.443109929561615},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.43176740407943726},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42633700370788574},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4156598150730133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30993857979774475},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27528536319732666},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2257218360900879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1844489574432373}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.7440224289894104},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.6851890087127686},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6647547483444214},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6131786108016968},{"id":"https://openalex.org/C163018871","wikidata":"https://www.wikidata.org/wiki/Q1302587","display_name":"Cross-correlation","level":2,"score":0.45047080516815186},{"id":"https://openalex.org/C75190567","wikidata":"https://www.wikidata.org/wiki/Q41237","display_name":"Rational function","level":2,"score":0.443109929561615},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.43176740407943726},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42633700370788574},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4156598150730133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30993857979774475},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27528536319732666},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2257218360900879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1844489574432373},{"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/icassp.1985.1168258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. 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":4,"referenced_works":["https://openalex.org/W2023196517","https://openalex.org/W2113221784","https://openalex.org/W2172248931","https://openalex.org/W2796104303"],"related_works":["https://openalex.org/W747394405","https://openalex.org/W1987236514","https://openalex.org/W174653542","https://openalex.org/W2381153750","https://openalex.org/W2041235277","https://openalex.org/W2088220880","https://openalex.org/W3121354342","https://openalex.org/W2027411114","https://openalex.org/W2120285461","https://openalex.org/W2138548210"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,12,24,31,39,59,62,68,71],"magnitude":[4],"squared":[5],"(MS)":[6],"coherence":[7,27,77],"is":[8,28,96,104],"computed":[9],"by":[10],"estimating":[11,38],"parameters":[13,19,78],"of":[14,61,70,85,93],"a":[15,82],"rational":[16],"model.":[17],"The":[18,34,75,102],"are":[20,51],"constrained":[21],"so":[22],"that":[23],"estimated":[25],"MS":[26,76],"real-valued":[29],"on":[30],"unit":[32],"circle.":[33],"method":[35],"entails":[36],"first":[37],"auto-":[40],"and":[41,67],"cross-correlation":[42,63],"lags":[43],"from":[44],"raw":[45],"data":[46],"sequences.":[47,90],"These":[48],"lag":[49],"estimates":[50],"then":[52],"used":[53],"to":[54],"define":[55],"two":[56,72,107],"auxiliary":[57,89],"sequences,":[58],"convolution":[60,69],"function":[64],"with":[65,106],"itself":[66],"autocorrelation":[73],"functions.":[74],"will":[79],"nearly":[80],"satisfy":[81],"homogeneous":[83],"set":[84],"equations":[86,95],"involving":[87],"these":[88],"This":[91],"system":[92],"linear":[94],"solved":[97],"via":[98],"an":[99],"eigenspace":[100],"decomposition.":[101],"algorithm":[103],"compared":[105],"traditional":[108],"periodogram":[109],"based":[110],"estimation":[111],"methods.":[112]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
