{"id":"https://openalex.org/W2047795784","doi":"https://doi.org/10.1109/icdsp.2013.6622724","title":"Tracking dynamic sparse signals with hierarchical Kalman filters: A case study","display_name":"Tracking dynamic sparse signals with hierarchical Kalman filters: A case study","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2047795784","doi":"https://doi.org/10.1109/icdsp.2013.6622724","mag":"2047795784"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2013.6622724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","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/A5068719364","display_name":"Jason Filos","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":"Jason Filos","raw_affiliation_strings":["Electrical and Electronic Engineering, Imperial College London, London, UK","Electr. & Electron. Eng., Imperial Coll. London, London, UK"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Electr. & Electron. Eng., Imperial Coll. London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","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":false,"raw_author_name":"Evripidis Karseras","raw_affiliation_strings":["Electrical and Electronic Engineering, Imperial College London, London, UK","Electr. & Electron. Eng., Imperial Coll. London, London, UK"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Electr. & Electron. Eng., Imperial Coll. London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","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":["Electrical and Electronic Engineering, Imperial College London, London, UK","Electr. & Electron. Eng., Imperial Coll. London, London, UK"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Electr. & Electron. Eng., Imperial Coll. London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006915994","display_name":"Shulin Yan","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":false,"raw_author_name":"Shulin Yan","raw_affiliation_strings":["Department of Computing, Imperial College London, London, UK","Dept. of Comput., Imperial Coll. London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Comput., Imperial Coll. London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068719364"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":2.114,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86263494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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":0.9983999729156494,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.8539857864379883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7176704406738281},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.5705262422561646},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5227527618408203},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5118455290794373},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.4998466968536377},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.49712470173835754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4901667535305023},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.46217742562294006},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4155527949333191},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3601744771003723},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3333872854709625}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8539857864379883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7176704406738281},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.5705262422561646},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5227527618408203},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5118455290794373},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.4998466968536377},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.49712470173835754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4901667535305023},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.46217742562294006},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4155527949333191},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3601744771003723},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3333872854709625},{"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/icdsp.2013.6622724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.708.3622","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.708.3622","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/%7Ejf203/dsp2013.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1633751774","https://openalex.org/W1987191478","https://openalex.org/W1997017524","https://openalex.org/W2002990237","https://openalex.org/W2004544971","https://openalex.org/W2062747674","https://openalex.org/W2071284784","https://openalex.org/W2098674248","https://openalex.org/W2103450980","https://openalex.org/W2105588499","https://openalex.org/W2116148865","https://openalex.org/W2121830132","https://openalex.org/W2137512539","https://openalex.org/W2145096794","https://openalex.org/W2148154358","https://openalex.org/W2160536217","https://openalex.org/W2160979406","https://openalex.org/W2540033587","https://openalex.org/W6636690510","https://openalex.org/W6674616871"],"related_works":["https://openalex.org/W2182059946","https://openalex.org/W1580685205","https://openalex.org/W1488420340","https://openalex.org/W4206770590","https://openalex.org/W2375426323","https://openalex.org/W2164174227","https://openalex.org/W2030134288","https://openalex.org/W2363340733","https://openalex.org/W2146909562","https://openalex.org/W2103062922"],"abstract_inverted_index":{"Tracking":[0],"and":[1,59],"recovering":[2],"dynamic":[3,37,84],"sparse":[4,31,64,85],"signals":[5,22],"using":[6,69],"traditional":[7,79],"Kalman":[8,51,80],"filtering":[9],"techniques":[10],"tend":[11],"to":[12,29],"fail.":[13],"Compressive":[14],"sensing":[15],"(CS)":[16],"addresses":[17],"the":[18,25,45,74,78,91,100,103],"problem":[19],"of":[20,47,102],"reconstructing":[21],"for":[23,36],"which":[24],"support":[26],"is":[27,33,88,98],"assumed":[28],"be":[30],"but":[32],"not":[34],"fit":[35],"models.":[38],"This":[39],"paper":[40],"provides":[41],"a":[42,48],"study":[43],"on":[44],"performance":[46,108],"hierarchical":[49],"Bayesian":[50,92],"(HB-Kalman)":[52],"filter":[53,81],"that":[54,90,97],"succeeds":[55],"in":[56],"promoting":[57],"sparsity":[58],"accurately":[60],"tracks":[61],"time":[62],"varying":[63],"signals.":[65,86],"Two":[66],"case":[67],"studies":[68],"real-world":[70],"data":[71],"show":[72],"how":[73],"proposed":[75,111],"method":[76],"outperforms":[77],"when":[82],"tracking":[83],"It":[87],"shown":[89],"Subspace":[93],"Pursuit":[94],"(BSP)":[95],"algorithm,":[96],"at":[99],"core":[101],"HB-Kalman":[104],"method,":[105],"achieves":[106],"better":[107],"than":[109],"previously":[110],"greedy":[112],"methods.":[113]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
