{"id":"https://openalex.org/W2055149979","doi":"https://doi.org/10.1109/tassp.1985.1164536","title":"Analysis of the short-time unbiased spectrum estimation algorithm.","display_name":"Analysis of the short-time unbiased spectrum estimation algorithm.","publication_year":1985,"publication_date":"1985-02-01","ids":{"openalex":"https://openalex.org/W2055149979","doi":"https://doi.org/10.1109/tassp.1985.1164536","mag":"2055149979"},"language":"en","primary_location":{"id":"doi:10.1109/tassp.1985.1164536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tassp.1985.1164536","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/A5000193594","display_name":"V.J. Mathews","orcid":"https://orcid.org/0000-0001-6873-4172"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"V. Mathews","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Iowa, Iowa, IA, USA","The Univ. of Iowa, Iowa City, IA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Iowa, Iowa, IA, USA","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"The Univ. of Iowa, Iowa City, IA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088566093","display_name":"Dae-Hee Youn","orcid":null},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dae-Hee Youn","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Iowa, Iowa, IA, USA","University of Iowa, "],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Iowa, Iowa, IA, USA","institution_ids":["https://openalex.org/I126307644"]},{"raw_affiliation_string":"University of Iowa, ","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000193594"],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":null,"apc_paid":null,"fwci":0.6811,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73060211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"1","first_page":"136","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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":0.9991000294685364,"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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9987000226974487,"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/algorithm","display_name":"Algorithm","score":0.7351171374320984},{"id":"https://openalex.org/keywords/unbiased-estimation","display_name":"Unbiased Estimation","score":0.6049585938453674},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5936301946640015},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.5855534672737122},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.5698744058609009},{"id":"https://openalex.org/keywords/spectral-leakage","display_name":"Spectral leakage","score":0.48564398288726807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4585880935192108},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.43896815180778503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41190049052238464},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.1851106584072113},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0688924491405487},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.057612717151641846}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7351171374320984},{"id":"https://openalex.org/C2909318450","wikidata":"https://www.wikidata.org/wiki/Q15222032","display_name":"Unbiased Estimation","level":3,"score":0.6049585938453674},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5936301946640015},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.5855534672737122},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.5698744058609009},{"id":"https://openalex.org/C113407356","wikidata":"https://www.wikidata.org/wiki/Q1431214","display_name":"Spectral leakage","level":3,"score":0.48564398288726807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4585880935192108},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43896815180778503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41190049052238464},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.1851106584072113},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0688924491405487},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.057612717151641846},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tassp.1985.1164536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tassp.1985.1164536","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W209589608","https://openalex.org/W220915574","https://openalex.org/W245316033","https://openalex.org/W284525043","https://openalex.org/W2000119073","https://openalex.org/W2010864029","https://openalex.org/W2020997493","https://openalex.org/W2029159574","https://openalex.org/W2039725506","https://openalex.org/W2077429166","https://openalex.org/W2106822551","https://openalex.org/W2111460811","https://openalex.org/W2158079429","https://openalex.org/W2160502247","https://openalex.org/W2189326608","https://openalex.org/W2588878799","https://openalex.org/W4256473202"],"related_works":["https://openalex.org/W2463762105","https://openalex.org/W2166923183","https://openalex.org/W2597796268","https://openalex.org/W2057060095","https://openalex.org/W2015508332","https://openalex.org/W2005426889","https://openalex.org/W2380964641","https://openalex.org/W2394058734","https://openalex.org/W71509292","https://openalex.org/W1602604662"],"abstract_inverted_index":{"The":[0,22],"short-time":[1],"unbiased":[2,34],"spectrum":[3,18,28],"estimation":[4],"(STUSE)":[5],"algorithm":[6,24,60],"is":[7],"analyzed":[8],"and":[9,14,36,55],"expressions":[10],"for":[11],"the":[12,17,38,52,58,62],"mean":[13],"variance":[15],"of":[16],"estimates":[19,29,35],"are":[20,49],"derived.":[21],"STUSE":[23,59],"deliberately":[25],"adds":[26],"biased":[27],"in":[30],"order":[31],"to":[32],"yield":[33],"at":[37],"same":[39],"time":[40],"have":[41],"excellent":[42],"spectral":[43],"leakage":[44],"suppression":[45],"capabilities.":[46],"Computer":[47],"simulations":[48],"presented,":[50],"verifying":[51],"theoretical":[53],"results":[54],"also":[56],"comparing":[57],"with":[61],"conventional":[63],"weighted,":[64],"overlapped,":[65],"segment":[66],"averaging":[67],"(WOSA)":[68],"method.":[69]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
