{"id":"https://openalex.org/W1987191478","doi":"https://doi.org/10.1109/icassp.2013.6638927","title":"Tracking dynamic sparse signals using Hierarchical Bayesian Kalman filters","display_name":"Tracking dynamic sparse signals using Hierarchical Bayesian Kalman filters","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1987191478","doi":"https://doi.org/10.1109/icassp.2013.6638927","mag":"1987191478"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5012028720","display_name":"Evripidis Karseras","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Evripidis Karseras","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College, London, UK","Dept. of Electr. & Electron. Eng., Imperial Coll., London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Imperial Coll., London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020917506","display_name":"Kin K. Leung","orcid":"https://orcid.org/0000-0002-3860-6257"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kin Leung","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College, London, UK","Dept. of Electr. & Electron. Eng., Imperial Coll., London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Imperial Coll., London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100752236","display_name":"Wei Dai","orcid":"https://orcid.org/0000-0002-4781-3485"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wei Dai","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College, London, UK","Dept. of Electr. & Electron. Eng., Imperial Coll., London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Imperial Coll., London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012028720"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":7.381,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.97547036,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6546","last_page":"6550"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9968000054359436,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7215807437896729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6524164080619812},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6373817920684814},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5503293871879578},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5124745965003967},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5073320269584656},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5070891380310059},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4166716933250427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41435790061950684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3504858613014221}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7215807437896729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6524164080619812},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6373817920684814},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5503293871879578},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5124745965003967},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5073320269584656},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5070891380310059},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4166716933250427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41435790061950684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3504858613014221},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2013.6638927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.640.4040","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.640.4040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.commsp.ee.ic.ac.uk/~wiser/publications/Karseras/TrackingDynamicSparseSignals.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1633751774","https://openalex.org/W1997017524","https://openalex.org/W2071284784","https://openalex.org/W2103450980","https://openalex.org/W2115606304","https://openalex.org/W2116148865","https://openalex.org/W2121830132","https://openalex.org/W2137512539","https://openalex.org/W2148154358","https://openalex.org/W2160979406","https://openalex.org/W2540033587","https://openalex.org/W6636690510","https://openalex.org/W6676940277"],"related_works":["https://openalex.org/W4388311650","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W563589758","https://openalex.org/W5922282","https://openalex.org/W2954004777","https://openalex.org/W2949638731","https://openalex.org/W2951102138","https://openalex.org/W4299447939"],"abstract_inverted_index":{"In":[0,52],"this":[1],"work":[2,100],"we":[3],"are":[4,118],"interested":[5],"in":[6,84,90,129],"the":[7,15,32,46,50,53,59,85,111,125,138],"problem":[8],"of":[9,49,55],"reconstructing":[10],"time-varying":[11,56,131],"signals":[12,58,117,133],"for":[13,41],"which":[14,88,114],"support":[16],"is":[17,28,62,82,95,122],"assumed":[18],"to":[19,30,74],"be":[20],"sparse.":[21],"For":[22],"a":[23,38,78],"single":[24],"time":[25],"instance":[26],"it":[27],"possible":[29],"reconstruct":[31],"original":[33],"signal":[34,43],"efficiently":[35],"by":[36,70,101],"employing":[37],"suitable":[39],"algorithm":[40],"sparse":[42,57,116,132],"recovery,":[44],"given":[45],"sparsity":[47,60],"level":[48,61],"signal.":[51],"case":[54],"not":[63],"necessarily":[64],"known":[65],"a-priori.":[66],"Furthermore":[67],"conventional":[68],"tracking":[69,86],"Kalman":[71,140],"filtering":[72],"fails":[73],"promote":[75],"sparsity.":[76,92],"Instead,":[77],"hierarchical":[79],"Bayesian":[80],"model":[81],"used":[83],"process":[87],"succeeds":[89,128],"modelling":[91],"One":[93],"theorem":[94,109],"provided":[96],"that":[97,124],"extends":[98],"previous":[99],"providing":[102],"some":[103],"more":[104],"general":[105],"results.":[106],"A":[107],"second":[108],"gives":[110],"conditions":[112],"under":[113],"all":[115],"recovered":[119],"exactly.":[120],"It":[121],"demonstrated":[123],"proposed":[126],"method":[127],"recovering":[130],"with":[134],"greater":[135],"accuracy":[136],"than":[137],"classic":[139],"filter":[141],"approach.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}