{"id":"https://openalex.org/W1987572122","doi":"https://doi.org/10.1109/tsp.2012.2190064","title":"A New Encoder for Continuous-Time Gaussian Signals With Fixed Rate and Reconstruction Delay","display_name":"A New Encoder for Continuous-Time Gaussian Signals With Fixed Rate and Reconstruction Delay","publication_year":2012,"publication_date":"2012-03-06","ids":{"openalex":"https://openalex.org/W1987572122","doi":"https://doi.org/10.1109/tsp.2012.2190064","mag":"1987572122"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2012.2190064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2012.2190064","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 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/A5044084361","display_name":"Dami\u00e1n Marelli","orcid":"https://orcid.org/0000-0003-4543-5721"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dami\u00e1n Marelli","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan, NSW, Australia","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033583535","display_name":"Kaushik Mahata","orcid":"https://orcid.org/0000-0001-8501-3596"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kaushik Mahata","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan, NSW, Australia","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065677770","display_name":"Minyue Fu","orcid":"https://orcid.org/0000-0002-4659-601X"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Minyue Fu","raw_affiliation_strings":["Department of Control Science and Engineering, University of Zhejiang, China","School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, University of Zhejiang, China","institution_ids":[]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan, NSW, Australia","institution_ids":["https://openalex.org/I78757542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78757542"],"apc_list":null,"apc_paid":null,"fwci":0.4349,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71066262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"60","issue":"6","first_page":"3052","last_page":"3064"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/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":0.6380733251571655},{"id":"https://openalex.org/keywords/state-vector","display_name":"State vector","score":0.5258529782295227},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5082475543022156},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5048890709877014},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5030099749565125},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.49772027134895325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.488135427236557},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4850722849369049},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4772724509239197},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.46678173542022705},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4591372311115265},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.44328573346138},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39615166187286377},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37999361753463745},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3457377254962921},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21681517362594604},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.09995537996292114}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6380733251571655},{"id":"https://openalex.org/C2777798563","wikidata":"https://www.wikidata.org/wiki/Q7603916","display_name":"State vector","level":2,"score":0.5258529782295227},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5082475543022156},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5048890709877014},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5030099749565125},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.49772027134895325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.488135427236557},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4850722849369049},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4772724509239197},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.46678173542022705},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4591372311115265},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.44328573346138},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39615166187286377},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37999361753463745},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3457377254962921},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21681517362594604},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.09995537996292114},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2012.2190064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2012.2190064","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:uon:21829","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.13/1309291","pdf_url":null,"source":{"id":"https://openalex.org/S4377196471","display_name":"NOVA (University of Newcastle Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I78757542","host_organization_name":"University of Newcastle Australia","host_organization_lineage":["https://openalex.org/I78757542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1492425803","https://openalex.org/W1551480811","https://openalex.org/W1634005169","https://openalex.org/W1975330208","https://openalex.org/W1985235289","https://openalex.org/W1989008275","https://openalex.org/W2001315834","https://openalex.org/W2022806724","https://openalex.org/W2053836930","https://openalex.org/W2080096734","https://openalex.org/W2084412988","https://openalex.org/W2089758604","https://openalex.org/W2096352571","https://openalex.org/W2102753806","https://openalex.org/W2113846837","https://openalex.org/W2116343044","https://openalex.org/W2118807958","https://openalex.org/W2133472798","https://openalex.org/W2137154577","https://openalex.org/W2137356258","https://openalex.org/W2138290230","https://openalex.org/W2142901448","https://openalex.org/W2151926297","https://openalex.org/W2160337655","https://openalex.org/W2166500461","https://openalex.org/W2258043381","https://openalex.org/W2958569496","https://openalex.org/W4213068077"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2988126442","https://openalex.org/W1974414866","https://openalex.org/W2063982682","https://openalex.org/W2338543196","https://openalex.org/W1544691147","https://openalex.org/W2113565103"],"abstract_inverted_index":{"In":[0,85],"this":[1,51,86],"paper,":[2],"we":[3,67,89],"propose":[4],"a":[5,14,22,29,38,63,69,74,92],"method":[6],"for":[7,72,96],"encoding":[8],"continuous-time":[9,35],"Gaussian":[10],"signals":[11],"subject":[12],"to":[13,32,61,105],"usual":[15],"data":[16],"rate":[17],"constraint":[18],"and,":[19],"more":[20],"importantly,":[21],"reconstruction":[23,135],"delay":[24,136],"constraint.":[25],"We":[26,43],"first":[27,90],"apply":[28],"Karhunen-Lo\u00e8ve":[30],"decomposition":[31],"reparameterize":[33],"the":[34,46,56,79,97,122,134],"signal":[36],"as":[37],"discrete":[39],"sequence":[40,52,99],"of":[41,50,53],"vectors.":[42,54],"then":[44,101],"study":[45],"optimal":[47,57],"recursive":[48],"quantization":[49],"Since":[55],"scheme":[58],"turns":[59],"out":[60],"have":[62],"very":[64],"cumbersome":[65],"design,":[66],"consider":[68],"simplified":[70,87],"method,":[71,88],"which":[73],"numerical":[75],"example":[76],"suggests":[77],"that":[78,121],"incurred":[80],"performance":[81],"loss":[82],"is":[83,113,137],"negligible.":[84],"build":[91],"state":[93],"space":[94],"model":[95],"vector":[98],"and":[100],"use":[102],"Bayesian":[103],"tracking":[104,111],"sequentially":[106],"encode":[107],"each":[108],"vector.":[109],"The":[110],"task":[112],"performed":[114],"using":[115],"particle":[116],"filtering.":[117],"Numerical":[118],"experiments":[119],"show":[120],"proposed":[123],"approach":[124],"offers":[125],"visible":[126],"advantages":[127],"over":[128],"other":[129],"available":[130],"approaches,":[131],"especially":[132],"when":[133],"small.":[138]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
