{"id":"https://openalex.org/W1897098407","doi":"https://doi.org/10.1109/icassp.1978.1170417","title":"Frequency estimation by linear prediction","display_name":"Frequency estimation by linear prediction","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1897098407","doi":"https://doi.org/10.1109/icassp.1978.1170417","mag":"1897098407"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1978.1170417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1978.1170417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '78. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digitalcommons.uri.edu/ele_facpubs/639","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113006205","display_name":"L. Jackson","orcid":null},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"L. Jackson","raw_affiliation_strings":["University of Rhode Island, Kingston, RI, USA","University of Rhode Island , Kingston, Rhode Island"],"affiliations":[{"raw_affiliation_string":"University of Rhode Island, Kingston, RI, USA","institution_ids":["https://openalex.org/I17626003"]},{"raw_affiliation_string":"University of Rhode Island , Kingston, Rhode Island","institution_ids":["https://openalex.org/I17626003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037549266","display_name":"D.W. Tufts","orcid":null},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Tufts","raw_affiliation_strings":["University of Rhode Island, Kingston, RI, USA","University of Rhode Island Kingston, RI, USA"],"affiliations":[{"raw_affiliation_string":"University of Rhode Island, Kingston, RI, USA","institution_ids":["https://openalex.org/I17626003"]},{"raw_affiliation_string":"University of Rhode Island Kingston, RI, USA","institution_ids":["https://openalex.org/I17626003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065394791","display_name":"Frank K. Soong","orcid":"https://orcid.org/0000-0002-9088-3577"},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"F. Soong","raw_affiliation_strings":["University of Rhode Island, Kingston, RI, USA","University of Rhode Island Kingston, RI, USA"],"affiliations":[{"raw_affiliation_string":"University of Rhode Island, Kingston, RI, USA","institution_ids":["https://openalex.org/I17626003"]},{"raw_affiliation_string":"University of Rhode Island Kingston, RI, USA","institution_ids":["https://openalex.org/I17626003"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086374145","display_name":"R Rao","orcid":"https://orcid.org/0000-0002-0492-242X"},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Rao","raw_affiliation_strings":["University of Rhode Island, Kingston, RI, USA","University of Rhode Island Kingston, RI, USA"],"affiliations":[{"raw_affiliation_string":"University of Rhode Island, Kingston, RI, USA","institution_ids":["https://openalex.org/I17626003"]},{"raw_affiliation_string":"University of Rhode Island Kingston, RI, USA","institution_ids":["https://openalex.org/I17626003"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113006205"],"corresponding_institution_ids":["https://openalex.org/I17626003"],"apc_list":null,"apc_paid":null,"fwci":17.104,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.99180405,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"352","last_page":"356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9975000023841858,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9957000017166138,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5537319779396057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5536952614784241},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.5498563647270203},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.49785900115966797},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4933687746524811},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48683804273605347},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.47319671511650085},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.44589024782180786},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.43738436698913574},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43187665939331055},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43025535345077515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4291863739490509},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3609324097633362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.149952232837677},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11848565936088562}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5537319779396057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5536952614784241},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.5498563647270203},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.49785900115966797},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4933687746524811},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48683804273605347},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.47319671511650085},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.44589024782180786},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.43738436698913574},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43187665939331055},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43025535345077515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4291863739490509},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3609324097633362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.149952232837677},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11848565936088562},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.1978.1170417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1978.1170417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '78. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.uri.edu:ele_facpubs-1638","is_oa":true,"landing_page_url":"https://digitalcommons.uri.edu/ele_facpubs/639","pdf_url":null,"source":{"id":"https://openalex.org/S2764761010","display_name":"Journal of Media Literacy Education","issn_l":"2167-8715","issn":["2167-8715"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316378","host_organization_name":"National Association for Media Literacy Education","host_organization_lineage":["https://openalex.org/P4310316378"],"host_organization_lineage_names":["National Association for Media Literacy Education"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical, Computer, and Biomedical Engineering Faculty Publications","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:digitalcommons.uri.edu:ele_facpubs-1638","is_oa":true,"landing_page_url":"https://digitalcommons.uri.edu/ele_facpubs/639","pdf_url":null,"source":{"id":"https://openalex.org/S2764761010","display_name":"Journal of Media Literacy Education","issn_l":"2167-8715","issn":["2167-8715"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316378","host_organization_name":"National Association for Media Literacy Education","host_organization_lineage":["https://openalex.org/P4310316378"],"host_organization_lineage_names":["National Association for Media Literacy Education"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical, Computer, and Biomedical Engineering Faculty Publications","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1935517055","https://openalex.org/W1966264494","https://openalex.org/W2046678262","https://openalex.org/W2061571294","https://openalex.org/W2091696547","https://openalex.org/W2108794019","https://openalex.org/W2127772275","https://openalex.org/W2131604740","https://openalex.org/W3093664000"],"related_works":["https://openalex.org/W2009454197","https://openalex.org/W2030139799","https://openalex.org/W4317939968","https://openalex.org/W1576477388","https://openalex.org/W2752753867","https://openalex.org/W2638372604","https://openalex.org/W1508438133","https://openalex.org/W2438418151","https://openalex.org/W2093353624","https://openalex.org/W2281804591"],"abstract_inverted_index":{"The":[0,41],"application":[1],"of":[2,28,43,57,62,75],"linear":[3],"prediction":[4,79],"to":[5],"frequency":[6,67,70],"estimation":[7],"for":[8],"sinusoidal":[9],"signals":[10],"in":[11,47,52],"noise":[12,49],"is":[13,16,21,50],"investigated.":[14],"It":[15],"shown":[17],"that":[18],"improved":[19],"performance":[20],"obtained":[22],"by":[23,39],"processing":[24],"a":[25,44,73],"complex-valued":[26],"version":[27],"the":[29,34,55,58,63],"real-valued":[30],"input":[31,76],"signal,":[32],"with":[33],"corresponsing":[35],"sampling":[36],"rate":[37],"reduced":[38],"one-half.":[40],"case":[42],"single":[45],"sinusoid":[46],"white":[48],"studied":[51],"detail,":[53],"including":[54],"eigenvalues":[56],"covariance":[59],"matrix,":[60],"zeros":[61],"inverse":[64],"filter":[65],"polynomial,":[66],"bias,":[68],"and":[69,78],"variance":[71],"as":[72],"function":[74],"SNR":[77],"order.":[80]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}