{"id":"https://openalex.org/W1892281010","doi":"https://doi.org/10.1109/icassp.1982.1171781","title":"On a covariance-lattice algorithm for linear prediction","display_name":"On a covariance-lattice algorithm for linear prediction","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1892281010","doi":"https://doi.org/10.1109/icassp.1982.1171781","mag":"1892281010"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1982.1171781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. 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/A5033322116","display_name":"Aldo Cumani","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"A. Cumani","raw_affiliation_strings":["Torino, Italy","Istituto Elettrotecnico Nazionale Galileo Ferraris, Torino, Italy#TAB#"],"affiliations":[{"raw_affiliation_string":"Torino, Italy","institution_ids":[]},{"raw_affiliation_string":"Istituto Elettrotecnico Nazionale Galileo Ferraris, Torino, Italy#TAB#","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5033322116"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":2.1938,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.88483283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"651","last_page":"654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9973999857902527,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9973999857902527,"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/T10320","display_name":"Neural Networks and Applications","score":0.9855999946594238,"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/T10860","display_name":"Speech and Audio Processing","score":0.9832000136375427,"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/covariance","display_name":"Covariance","score":0.8034054040908813},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.6304136514663696},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5857349038124084},{"id":"https://openalex.org/keywords/lattice","display_name":"Lattice (music)","score":0.5513758063316345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5378787517547607},{"id":"https://openalex.org/keywords/fixed-point-arithmetic","display_name":"Fixed-point arithmetic","score":0.5072733759880066},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.45067572593688965},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.41142213344573975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3372892141342163},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.2227640450000763},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17767751216888428}],"concepts":[{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.8034054040908813},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.6304136514663696},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5857349038124084},{"id":"https://openalex.org/C2781204021","wikidata":"https://www.wikidata.org/wiki/Q6497091","display_name":"Lattice (music)","level":2,"score":0.5513758063316345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5378787517547607},{"id":"https://openalex.org/C163973906","wikidata":"https://www.wikidata.org/wiki/Q649900","display_name":"Fixed-point arithmetic","level":3,"score":0.5072733759880066},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45067572593688965},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.41142213344573975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3372892141342163},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.2227640450000763},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17767751216888428},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1982.1171781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1982.1171781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '82. 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":5,"referenced_works":["https://openalex.org/W1966264494","https://openalex.org/W2004823017","https://openalex.org/W2038083880","https://openalex.org/W2073557785","https://openalex.org/W3093664000"],"related_works":["https://openalex.org/W2788344745","https://openalex.org/W2062336688","https://openalex.org/W2371168111","https://openalex.org/W2910677864","https://openalex.org/W2148213881","https://openalex.org/W2046078371","https://openalex.org/W1576035430","https://openalex.org/W2494809169","https://openalex.org/W2118469145","https://openalex.org/W1892281010"],"abstract_inverted_index":{"The":[0,15],"paper":[1],"presents":[2],"a":[3],"new":[4,16],"formulation":[5],"of":[6,22,43],"the":[7,23,30,49],"so-called":[8],"\"covariance-lattice\"":[9],"algorithm":[10],"for":[11],"linear":[12],"predictive":[13],"analysis.":[14],"method":[17],"makes":[18],"no":[19],"explicit":[20],"use":[21],"predictor":[24],"coefficients":[25],"but":[26],"works":[27],"directly":[28],"on":[29],"reflection":[31],"coefficients,":[32],"so":[33],"being":[34],"better":[35],"suited":[36],"to":[37,45],"fixed-point":[38],"arithmetic":[39],"implementation.":[40],"An":[41],"example":[42],"application":[44],"speech":[46],"data":[47],"illustrates":[48],"above":[50],"point.":[51]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
