{"id":"https://openalex.org/W2160483226","doi":"https://doi.org/10.1109/cdc.2010.5717521","title":"Noisy filtered sparse processes: Reconstruction and compression","display_name":"Noisy filtered sparse processes: Reconstruction and compression","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2160483226","doi":"https://doi.org/10.1109/cdc.2010.5717521","mag":"2160483226"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2010.5717521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2010.5717521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"49th IEEE Conference on Decision and Control (CDC)","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/A5101551661","display_name":"Manqi Zhao","orcid":"https://orcid.org/0000-0002-5953-0079"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Manqi Zhao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048704387","display_name":"Venkatesh Saligrama","orcid":"https://orcid.org/0000-0002-0675-2268"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venkatesh Saligrama","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101551661"],"corresponding_institution_ids":["https://openalex.org/I111088046"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19033509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"abs 910 239","issue":null,"first_page":"2930","last_page":"2935"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7601688504219055},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5153717398643494},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.5116532444953918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4893633723258972},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4816776216030121},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4582078456878662},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.43453747034072876},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4175226390361786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37198173999786377},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.34500548243522644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33784282207489014},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1999259889125824},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.09693476557731628}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7601688504219055},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5153717398643494},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.5116532444953918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4893633723258972},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4816776216030121},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4582078456878662},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.43453747034072876},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4175226390361786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37198173999786377},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.34500548243522644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33784282207489014},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1999259889125824},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.09693476557731628},{"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cdc.2010.5717521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2010.5717521","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"49th IEEE Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.704.8662","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.704.8662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://blogs.bu.edu/srv/files/2011/03/1894_OL.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":23,"referenced_works":["https://openalex.org/W345956458","https://openalex.org/W628029314","https://openalex.org/W1588776578","https://openalex.org/W1605227975","https://openalex.org/W1858176818","https://openalex.org/W1979558037","https://openalex.org/W2050834445","https://openalex.org/W2062245945","https://openalex.org/W2101491378","https://openalex.org/W2107925995","https://openalex.org/W2121194215","https://openalex.org/W2131825174","https://openalex.org/W2164452299","https://openalex.org/W2296616510","https://openalex.org/W2800750158","https://openalex.org/W3101762025","https://openalex.org/W4250955649","https://openalex.org/W6611605438","https://openalex.org/W6619888207","https://openalex.org/W6635074043","https://openalex.org/W6638888235","https://openalex.org/W6678032703","https://openalex.org/W6751198401"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2156466545","https://openalex.org/W2379468505","https://openalex.org/W3104324607","https://openalex.org/W4206981968","https://openalex.org/W1987102304","https://openalex.org/W4285251805","https://openalex.org/W2537887767","https://openalex.org/W1606356673","https://openalex.org/W2601968125"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,89],"consider":[4,59,68],"estimation":[5,60],"and":[6,86,108,116],"compression":[7,69],"of":[8,48,61,70,74],"filtered":[9,14],"sparse":[10,15,118],"processes.":[11],"Specifically,":[12],"the":[13,112,117],"process":[16],"is":[17,55],"a":[18,29,49,103],"signal":[19,31,53],"x":[20,92],"\u2208":[21,33],"\u211d":[22,34],"<sup":[23,35],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[24,36],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">n</sup>":[25,37],"obtained":[26],"by":[27,72],"driving":[28],"k-sparse":[30],"u":[32,120],"through":[38],"an":[39],"arbitrary":[40],"unknown":[41,113],"stable":[42],"discrete-linear":[43],"time":[44],"invariant":[45],"system":[46],"H":[47,115],"known":[50],"order.":[51],"The":[52],"x(t)":[54,62,71],"measured":[56],"noisily.":[57],"We":[58,66,101],"from":[63,97],"noisy":[64],"measurements.":[65,100],"also":[67],"means":[73],"random":[75],"projections":[76],"analogous":[77],"to":[78],"compressed":[79],"sensing.":[80],"For":[81],"different":[82],"cases":[83],"including":[84],"AR":[85],"MA":[87],"systems":[88],"show":[90,109],"that":[91,110],"can":[93,121],"indeed":[94],"be":[95,122],"reconstructed":[96],"O(k":[98],"log(n))":[99],"develop":[102],"novel":[104],"LP":[105],"optimization":[106],"algorithm":[107],"both":[111],"filter":[114],"input":[119],"reliably":[123],"estimated.":[124]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
