{"id":"https://openalex.org/W2165245045","doi":"https://doi.org/10.1109/icassp.2003.1201678","title":"Signals in coloured noise: joint non-parametric estimation of signal and of noise spectrum","display_name":"Signals in coloured noise: joint non-parametric estimation of signal and of noise spectrum","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W2165245045","doi":"https://doi.org/10.1109/icassp.2003.1201678","mag":"2165245045"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2003.1201678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1201678","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091154507","display_name":"Victor Solo","orcid":"https://orcid.org/0000-0002-5123-7708"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"V. Solo","raw_affiliation_strings":["School of Electrical Engineering, University of New South Wales, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5091154507"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.5188,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61187488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"VI","last_page":"301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","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/T11447","display_name":"Blind Source Separation Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9969000220298767,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7508364915847778},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.728486180305481},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6670358180999756},{"id":"https://openalex.org/keywords/value-noise","display_name":"Value noise","score":0.6208122372627258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5732501149177551},{"id":"https://openalex.org/keywords/noise-spectrum","display_name":"Noise spectrum","score":0.5597154498100281},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5568643808364868},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.5068181157112122},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.50101637840271},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.5009849071502686},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4993283748626709},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.4869869649410248},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.47035813331604004},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4582265317440033},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.44382476806640625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44285038113594055},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.41738513112068176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36151444911956787},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22323298454284668},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.22263145446777344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17320993542671204},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10217669606208801},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09282442927360535},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.05354231595993042}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7508364915847778},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.728486180305481},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6670358180999756},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.6208122372627258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5732501149177551},{"id":"https://openalex.org/C2983980114","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Noise spectrum","level":3,"score":0.5597154498100281},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5568643808364868},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.5068181157112122},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.50101637840271},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.5009849071502686},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4993283748626709},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.4869869649410248},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.47035813331604004},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4582265317440033},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.44382476806640625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44285038113594055},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.41738513112068176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36151444911956787},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22323298454284668},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.22263145446777344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17320993542671204},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10217669606208801},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09282442927360535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.05354231595993042},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2003.1201678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2003.1201678","pdf_url":null,"source":{"id":"https://openalex.org/S4363608982","display_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).","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":17,"referenced_works":["https://openalex.org/W1534799688","https://openalex.org/W1597926580","https://openalex.org/W1969611343","https://openalex.org/W1983472209","https://openalex.org/W2012885882","https://openalex.org/W2072246452","https://openalex.org/W2110429782","https://openalex.org/W2146766088","https://openalex.org/W2171126132","https://openalex.org/W2325993455","https://openalex.org/W2611210475","https://openalex.org/W2792296590","https://openalex.org/W4212783130","https://openalex.org/W4230382800","https://openalex.org/W4238717354","https://openalex.org/W4298876635","https://openalex.org/W4301231745"],"related_works":["https://openalex.org/W2594273119","https://openalex.org/W2170781407","https://openalex.org/W3125397569","https://openalex.org/W1988789108","https://openalex.org/W2079755857","https://openalex.org/W2810312662","https://openalex.org/W2369507939","https://openalex.org/W2370832149","https://openalex.org/W2032021057","https://openalex.org/W1986743941"],"abstract_inverted_index":{"There":[0],"is":[1,58,71,75],"a":[2,21,45,92],"considerable":[3,22],"literature":[4,23],"on":[5,24],"non-parametric":[6,25],"estimation":[7,26],"of":[8,14,27,30,41],"signals":[9],"buried":[10],"in":[11,47],"coloured":[12,33,48,54],"noise":[13,49,55],"known":[15],"or":[16],"finitely":[17],"parameterised":[18],"spectrum.":[19,56],"And":[20],"the":[28,38,53,80,89],"spectrum":[29],"an":[31],"observed":[32],"noise.":[34],"Here":[35],"we":[36],"consider":[37],"bivariate":[39],"problem":[40],"jointly,":[42],"non-parametrically":[43],"estimating":[44],"signal":[46],"as":[50,52],"well":[51],"It":[57],"straightforward":[59],"enough":[60],"to":[61,77],"develop":[62],"estimators":[63],"for":[64,88],"each":[65],"infinite":[66],"dimensional":[67],"parameter":[68],"but":[69],"what":[70],"much":[72],"less":[73],"clear":[74],"how":[76],"choose":[78],"jointly":[79],"two":[81],"required":[82],"tuning":[83],"parameters.":[84],"We":[85],"develop,":[86],"apparently":[87],"first":[90],"time,":[91],"criterion":[93],"that":[94],"achieves":[95],"this.":[96]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
