{"id":"https://openalex.org/W1845744288","doi":"https://doi.org/10.1109/icassp.1980.1170864","title":"Event location using recursive least squares signal processing","display_name":"Event location using recursive least squares signal processing","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1845744288","doi":"https://doi.org/10.1109/icassp.1980.1170864","mag":"1845744288"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1980.1170864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1980.1170864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '80. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5005015191","display_name":"W. Dove","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. Dove","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002249579","display_name":"A. Oppenheim","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Oppenheim","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"848","last_page":"850"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9922999739646912,"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":0.9922999739646912,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9915000200271606,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.7836581468582153},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7061765789985657},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.692692756652832},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6367323994636536},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6152120232582092},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5770771503448486},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5464555025100708},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.5133739709854126},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.48448678851127625},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.44774681329727173},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3607936203479767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3373420834541321},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3320470452308655},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.28513357043266296},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.25265586376190186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21263650059700012},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20417198538780212},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.07195267081260681}],"concepts":[{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.7836581468582153},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7061765789985657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.692692756652832},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6367323994636536},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6152120232582092},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5770771503448486},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5464555025100708},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.5133739709854126},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.48448678851127625},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.44774681329727173},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3607936203479767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3373420834541321},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3320470452308655},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.28513357043266296},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.25265586376190186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21263650059700012},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20417198538780212},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.07195267081260681},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1980.1170864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1980.1170864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '80. IEEE International Conference on Acoustics, Speech, and Signal Processing","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":2,"referenced_works":["https://openalex.org/W1966264494","https://openalex.org/W2158208985"],"related_works":["https://openalex.org/W1525886636","https://openalex.org/W1602531054","https://openalex.org/W4242740646","https://openalex.org/W4239999152","https://openalex.org/W2973191244","https://openalex.org/W2145213470","https://openalex.org/W2038428770","https://openalex.org/W1972943862","https://openalex.org/W4291198056","https://openalex.org/W2951738848"],"abstract_inverted_index":{"The":[0,40],"problem":[1],"of":[2,6,12,31,44,64],"locating":[3],"the":[4,20,24,29,49,62,67],"position":[5],"individual":[7],"pulses":[8,14],"within":[9],"a":[10],"group":[11],"overlapping":[13],"can":[15],"be":[16],"simplified":[17],"by":[18],"preprocessing":[19],"data":[21,56,68],"to":[22],"reduce":[23],"overlap.":[25],"This":[26],"paper":[27],"proposes":[28],"use":[30],"Recursive":[32],"Least":[33],"Squares":[34],"(RLS)":[35],"prediction":[36],"for":[37],"this":[38],"purpose.":[39],"pulse":[41],"compression":[42],"performance":[43],"two":[45],"signals":[46],"derived":[47],"from":[48],"RLS":[50],"algorithm":[51],"is":[52],"compared":[53],"using":[54],"all-pole":[55],"with":[57],"different":[58],"noise":[59],"levels,":[60],"and":[61,69],"effects":[63],"zeroes":[65],"in":[66],"prefiltering":[70],"are":[71],"discussed.":[72]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
