{"id":"https://openalex.org/W2132420966","doi":"https://doi.org/10.1109/icassp.1981.1171200","title":"A comparison of spectral estimators for real data","display_name":"A comparison of spectral estimators for real data","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2132420966","doi":"https://doi.org/10.1109/icassp.1981.1171200","mag":"2132420966"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1981.1171200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1981.1171200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '81. 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/A5003662782","display_name":"A. Mordojovich","orcid":null},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. Mordojovich","raw_affiliation_strings":["Department of Electrical Engineering, University of Colorado, Boulder, CO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Colorado, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043043381","display_name":"Richard A. Roberts","orcid":"https://orcid.org/0000-0001-9964-2860"},"institutions":[{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Roberts","raw_affiliation_strings":["Department of Electrical Engineering, University of Colorado, Boulder, CO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Colorado, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003662782"],"corresponding_institution_ids":["https://openalex.org/I188538660"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14423901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"492","last_page":"495"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9581000208854675,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9581000208854675,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11236","display_name":"Control Systems and Identification","score":0.9247999787330627,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/estimator","display_name":"Estimator","score":0.800002932548523},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7728378772735596},{"id":"https://openalex.org/keywords/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.7265908122062683},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.6627397537231445},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.5809771418571472},{"id":"https://openalex.org/keywords/maximum-entropy-spectral-estimation","display_name":"Maximum entropy spectral estimation","score":0.5348032712936401},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5290511846542358},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.480981707572937},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4767345190048218},{"id":"https://openalex.org/keywords/periodogram","display_name":"Periodogram","score":0.4640810489654541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45039620995521545},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.44809606671333313},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.4312613606452942},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4174690842628479},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"Spectral analysis","score":0.4122810363769531},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.389990895986557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27090612053871155},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.0812387466430664}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.800002932548523},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7728378772735596},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.7265908122062683},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.6627397537231445},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.5809771418571472},{"id":"https://openalex.org/C89735579","wikidata":"https://www.wikidata.org/wiki/Q6795894","display_name":"Maximum entropy spectral estimation","level":3,"score":0.5348032712936401},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5290511846542358},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.480981707572937},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4767345190048218},{"id":"https://openalex.org/C197680801","wikidata":"https://www.wikidata.org/wiki/Q587619","display_name":"Periodogram","level":2,"score":0.4640810489654541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45039620995521545},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.44809606671333313},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.4312613606452942},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4174690842628479},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.4122810363769531},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.389990895986557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27090612053871155},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.0812387466430664},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","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},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1981.1171200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1981.1171200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '81. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W1956105798","https://openalex.org/W1999185746"],"related_works":["https://openalex.org/W1629001578","https://openalex.org/W262848098","https://openalex.org/W2915530280","https://openalex.org/W2349959085","https://openalex.org/W2133638105","https://openalex.org/W2948173547","https://openalex.org/W2292590677","https://openalex.org/W1865917254","https://openalex.org/W4242418671","https://openalex.org/W2132420966"],"abstract_inverted_index":{"Spectral":[0],"estimation":[1],"of":[2,11,18,32,35,40,47,78,114],"real":[3],"data":[4],"can":[5],"be":[6],"performed":[7],"by":[8],"a":[9,85,88,112],"number":[10],"algorithms.":[12],"This":[13],"paper":[14],"compares":[15],"four":[16,51],"methods":[17,108],"estimation.":[19],"The":[20,50,81],"comparisons":[21],"are":[22,28,53,109],"based":[23],"on":[24],"three":[25],"examples":[26,82],"which":[27],"evaluated":[29],"in":[30,99,111],"terms":[31],"the":[33,36,38,41,44,48,54,76,106],"quality":[34],"estimate,":[37],"complexity":[39],"algorithm,":[42],"and":[43,63,93,96],"noise":[45],"immunity":[46],"estimate.":[49],"estimators":[52],"well-known":[55],"periodogram,":[56],"Burg's":[57],"maximum":[58],"entropy":[59],"(AR":[60],"modelling)":[61],"method,":[62],"two":[64,97],"autoregressive-moving":[65],"average":[66],"(ARMA)":[67],"models":[68],"that":[69,105],"have":[70],"been":[71],"developed":[72],"recently":[73],"here":[74],"at":[75],"University":[77],"Colorado":[79],"[1,2].":[80],"chosen":[83],"contain":[84],"smooth":[86],"spectrum,":[87],"spectrum":[89],"with":[90],"\"high":[91],"peaks\"":[92],"\"deep":[94],"valleys\",":[95],"sinusoids":[98],"white":[100],"noise.":[101],"Our":[102],"results":[103],"indicate":[104],"ARMA":[107],"superior":[110],"majority":[113],"cases.":[115]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
