{"id":"https://openalex.org/W2104134148","doi":"https://doi.org/10.1109/acssc.2008.5074721","title":"Adaptive discovery of sparse signals in noise","display_name":"Adaptive discovery of sparse signals in noise","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2104134148","doi":"https://doi.org/10.1109/acssc.2008.5074721","mag":"2104134148"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2008.5074721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2008.5074721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 42nd Asilomar Conference on Signals, Systems and Computers","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/A5011305900","display_name":"Jarvis Haupt","orcid":"https://orcid.org/0000-0002-1570-7071"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jarvis Haupt","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Wisconsin, Madison, Madison, WI, USA","Dept. of Elec. & Comp. Engr., Univ. of Wisconsin - Madison, Madison, WI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Wisconsin, Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"Dept. of Elec. & Comp. Engr., Univ. of Wisconsin - Madison, Madison, WI","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023119616","display_name":"Rui Castro","orcid":"https://orcid.org/0000-0002-3108-8880"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Castro","raw_affiliation_strings":["Department of Electrical Engineering, Columbia University, New York, NY, USA","Dept. of Electrical Engineering, Columbia Univ., New York, 10027, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Columbia Univ., New York, 10027, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106921483","display_name":"Robert D. Nowak","orcid":"https://orcid.org/0000-0001-8743-0887"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Nowak","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Wisconsin, Madison, Madison, WI, USA","Dept. of Elec. & Comp. Engr., Univ. of Wisconsin - Madison, Madison, WI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Wisconsin, Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"Dept. of Elec. & Comp. Engr., Univ. of Wisconsin - Madison, Madison, WI","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4791,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94176093,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"45","issue":null,"first_page":"1727","last_page":"1731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9980000257492065,"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":0.9980000257492065,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9965999722480774,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9922000169754028,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7253962159156799},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.7028294801712036},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6708900928497314},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6280895471572876},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.557404637336731},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5396753549575806},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.5042935609817505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5012795925140381},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4789339005947113},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.4501211941242218},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.42086875438690186},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3449753224849701},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.32040292024612427},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20571300387382507},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.15003344416618347},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08865422010421753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7253962159156799},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.7028294801712036},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6708900928497314},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6280895471572876},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.557404637336731},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5396753549575806},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.5042935609817505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5012795925140381},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4789339005947113},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.4501211941242218},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.42086875438690186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3449753224849701},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.32040292024612427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20571300387382507},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.15003344416618347},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08865422010421753},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/acssc.2008.5074721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2008.5074721","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 42nd Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/91c25a38-7126-4597-9205-fdbd41e95b3d","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/91c25a38-7126-4597-9205-fdbd41e95b3d","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Haupt, J, Castro, R M & Nowak, R 2008, Adaptive discovery of sparse signals in noise. in Proeedings 42nd Asilomar Conference on Signals, Systems and Computers (Pacific Grove CA, USA, October 26-29, 2008). Institute of Electrical and Electronics Engineers, pp. 1727-1731. https://doi.org/10.1109/ACSSC.2008.5074721","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:674645","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=674645","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.710.2734","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.710.2734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.umn.edu/%7Ejdhaupt/publications/asilomar08_adapt.pdf","raw_type":"text"},{"id":"pmh:oai:library.tue.nl:674645","is_oa":false,"landing_page_url":"http://repository.tue.nl/674645","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:tue:oai:pure.tue.nl:publications/91c25a38-7126-4597-9205-fdbd41e95b3d","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/91c25a38-7126-4597-9205-fdbd41e95b3d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proeedings 42nd Asilomar Conference on Signals, Systems and Computers (Pacific Grove CA, USA, October 26-29, 2008), 1727 - 1731","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1507434582","https://openalex.org/W1981106668","https://openalex.org/W2042587503","https://openalex.org/W2912369344"],"related_works":["https://openalex.org/W2379264914","https://openalex.org/W2153912708","https://openalex.org/W2118094278","https://openalex.org/W2639400695","https://openalex.org/W2949173582","https://openalex.org/W4300048032","https://openalex.org/W2089410207","https://openalex.org/W2367577754","https://openalex.org/W2387532542","https://openalex.org/W2362066488"],"abstract_inverted_index":{"A":[0],"multi-step":[1],"adaptive":[2,71],"resampling":[3],"procedure":[4,26,73],"is":[5],"proposed,":[6],"and":[7,48],"shown":[8],"to":[9,38],"be":[10,39,97],"an":[11,28],"effective":[12],"approach":[13],"when":[14],"detecting":[15],"high-dimensional":[16],"sparse":[17,64],"signals":[18,89],"in":[19],"noise.":[20],"Each":[21],"step":[22],"of":[23,30,46,53,88],"the":[24,31,44,51,54,63,69,75,86],"proposed":[25,70],"refines":[27],"estimate":[29],"true":[32],"signal":[33,65],"subspace,":[34],"allowing":[35,84],"sensing":[36,72],"energy":[37],"focused":[40],"more":[41],"directly":[42],"into":[43],"subspace":[45],"interest":[47],"significantly":[49],"improving":[50],"performance":[52],"final":[55],"detection":[56,66,78,87],"test.":[57],"Large-sample":[58],"analysis":[59],"shows":[60],"that":[61,90],"for":[62,85],"problems":[67],"considered,":[68],"outperforms":[74],"best":[76],"possible":[77],"methods":[79],"based":[80],"on":[81],"non-adaptive":[82,100],"sensing,":[83],"are":[91],"exponentially":[92],"weaker":[93],"than":[94],"what":[95],"can":[96],"detected":[98],"using":[99],"samples.":[101]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}