{"id":"https://openalex.org/W31037602","doi":null,"title":"Sensitivity to basis mismatch of compressed sensing for spectrum analysis and beamforming","display_name":"Sensitivity to basis mismatch of compressed sensing for spectrum analysis and beamforming","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W31037602","mag":"31037602"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.413.2535","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.2535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.engr.colostate.edu/~pezeshki/PDFs/CSMismatch_ICASSP2010.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"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/A5053809095","display_name":"Yuejie Chi","orcid":"https://orcid.org/0000-0002-6766-5459","observed_orcids":["https://orcid.org/0000-0002-6766-5459"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuejie Chi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028995727","display_name":"Ali Pezeshki","orcid":"https://orcid.org/0000-0002-7142-5685","observed_orcids":["https://orcid.org/0000-0002-7142-5685"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali Pezeshki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080469112","display_name":"Louis L. Scharf","orcid":"https://orcid.org/0000-0003-1764-9335","observed_orcids":["https://orcid.org/0000-0003-1764-9335"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Louis Scharf","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5037795370","display_name":"Robert Calderbank","orcid":"https://orcid.org/0000-0003-2084-9717","observed_orcids":["https://orcid.org/0000-0003-2084-9717"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robert Calderbank","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6844,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.81352527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.0,"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"compressed sensing","score":0.9959999918937683},{"id":"https://openalex.org/keywords/basis-mismatch","display_name":"basis mismatch","score":0.984000027179718},{"id":"https://openalex.org/keywords/basis-pursuit","display_name":"basis pursuit","score":0.75},{"id":"https://openalex.org/keywords/sparse-signal-recovery","display_name":"sparse signal recovery","score":0.9179999828338623},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"spectral analysis","score":0.8669999837875366},{"id":"https://openalex.org/keywords/beamforming","display_name":"beamforming","score":0.9750000238418579},{"id":"https://openalex.org/keywords/image-reconstruction","display_name":"image reconstruction","score":0.7229999899864197}],"concepts":[{"id":"https://openalex.org/C99217422","wikidata":"https://www.wikidata.org/wiki/Q4867576","display_name":"Basis pursuit","level":4,"score":0.8264138698577881},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.7070034146308899},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6108134984970093},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.6048286557197571},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.5437217950820923},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.47865545749664307},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4739542007446289},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47244197130203247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4682617783546448},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.45836740732192993},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.44926804304122925},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4265858829021454},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4245757758617401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4084371328353882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33504652976989746},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.17667382955551147},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1228659451007843},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11684733629226685},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09474533796310425},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.413.2535","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.2535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.engr.colostate.edu/~pezeshki/PDFs/CSMismatch_ICASSP2010.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1618478980","https://openalex.org/W1981745143","https://openalex.org/W2015418199","https://openalex.org/W2042442229","https://openalex.org/W2091256848","https://openalex.org/W2096650463","https://openalex.org/W2097816293","https://openalex.org/W2099100030","https://openalex.org/W2114832444","https://openalex.org/W2129131372","https://openalex.org/W2140122025","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W2565753657","https://openalex.org/W2798762838","https://openalex.org/W2798909945","https://openalex.org/W3147705998"],"related_works":["https://openalex.org/W2039479881","https://openalex.org/W7095740230","https://openalex.org/W2542178727","https://openalex.org/W2003440804","https://openalex.org/W2021151186","https://openalex.org/W1048996569","https://openalex.org/W2067878805","https://openalex.org/W2312918527","https://openalex.org/W2140609183","https://openalex.org/W2086419783"],"abstract_inverted_index":{"Compressed":[0,166],"sensing":[1,126],"theory":[2],"suggests":[3],"that":[4,31,149],"successful":[5],"inversion":[6],"of":[7,10,52,99,124,152,160],"an":[8,37,57,77],"image":[9,28,33,168,170],"the":[11,27,32,53,72,88,91,97,100,109,112,122,135,138,150,158],"physical":[12,67],"world":[13],"from":[14],"its":[15],"modal":[16],"parameters":[17],"can":[18],"be":[19,130],"achieved":[20],"at":[21],"measurement":[22],"dimensions":[23],"far":[24],"lower":[25],"than":[26],"dimension,":[29],"provided":[30],"is":[34,69,105],"sparse":[35,70,176],"in":[36,60,64,71,76,96,157],"a":[38,50,78],"priori":[39,79],"known":[40,80],"basis.":[41,81],"The":[42],"assumed":[43,110,136],"basis":[44,74,153,161,174],"for":[45,115],"sparsity":[46,140],"typically":[47],"corresponds":[48],"to":[49,129,132,173],"gridding":[51],"parameter":[54,89],"space,":[55],"e.g.,":[56],"DFT":[58,73],"grid":[59,87,101],"spectrum":[61],"analysis.":[62],"However,":[63],"reality":[65],"no":[66],"field":[68],"or":[75],"No":[82],"matter":[83],"how":[84],"finely":[85],"we":[86,120],"space":[90],"sources":[92],"may":[93],"not":[94],"lie":[95],"center":[98],"cells":[102],"and":[103,111,137,145],"there":[104],"always":[106],"mismatch":[107,133],"between":[108,134],"actual":[113,139],"bases":[114],"sparsity.":[116],"In":[117],"this":[118],"paper,":[119],"study":[121],"sensitivity":[123,172],"compressed":[125],"(basis":[127],"pursuit":[128,154],"exact)":[131],"bases.":[141],"Our":[142],"mathematical":[143],"analysis":[144],"numerical":[146],"examples":[147],"show":[148],"performance":[151],"degrades":[155],"considerably":[156],"presence":[159],"mismatch.":[162],"Index":[163],"Terms":[164],"\u2014":[165],"sensing,":[167],"inversion,":[169],"reconstruction,":[171],"mismatch,":[175],"recovery.":[177],"1.":[178]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2026-08-07T00:00:00"}
