{"id":"https://openalex.org/W2166314066","doi":"https://doi.org/10.1109/isit.2013.6620233","title":"Time invariant error bounds for modified-CS based sparse signal sequence recovery","display_name":"Time invariant error bounds for modified-CS based sparse signal sequence recovery","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2166314066","doi":"https://doi.org/10.1109/isit.2013.6620233","mag":"2166314066"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2013.6620233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2013.6620233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Information Theory","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/A5070860907","display_name":"Jinchun Zhan","orcid":null},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinchun Zhan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005043504","display_name":"Namrata Vaswani","orcid":"https://orcid.org/0000-0003-2774-0650"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Namrata Vaswani","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I173911158"],"apc_list":null,"apc_paid":null,"fwci":1.7637,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84928318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"59","issue":null,"first_page":"286","last_page":"290"},"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":0.9990000128746033,"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":0.9988999962806702,"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/bounded-function","display_name":"Bounded function","score":0.6888411641120911},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.6430793404579163},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6246359348297119},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6207987666130066},{"id":"https://openalex.org/keywords/basis-pursuit","display_name":"Basis pursuit","score":0.5951014757156372},{"id":"https://openalex.org/keywords/signal-recovery","display_name":"Signal recovery","score":0.5918759703636169},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5853824019432068},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5172781944274902},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4875947833061218},{"id":"https://openalex.org/keywords/lti-system-theory","display_name":"LTI system theory","score":0.479042649269104},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4699820578098297},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4683147370815277},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4657476842403412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45150598883628845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4447479844093323},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.44443902373313904},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4208420217037201},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.40674254298210144},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.2587226927280426},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.23093855381011963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18272027373313904},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1421428918838501},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.09242743253707886},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06864938139915466}],"concepts":[{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6888411641120911},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.6430793404579163},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6246359348297119},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6207987666130066},{"id":"https://openalex.org/C99217422","wikidata":"https://www.wikidata.org/wiki/Q4867576","display_name":"Basis pursuit","level":4,"score":0.5951014757156372},{"id":"https://openalex.org/C2989281035","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Signal recovery","level":3,"score":0.5918759703636169},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5853824019432068},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5172781944274902},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4875947833061218},{"id":"https://openalex.org/C87698059","wikidata":"https://www.wikidata.org/wiki/Q1808960","display_name":"LTI system theory","level":3,"score":0.479042649269104},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4699820578098297},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4683147370815277},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4657476842403412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45150598883628845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4447479844093323},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.44443902373313904},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4208420217037201},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.40674254298210144},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2587226927280426},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.23093855381011963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18272027373313904},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1421428918838501},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.09242743253707886},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06864938139915466},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2013.6620233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2013.6620233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1527917680","https://openalex.org/W1659148824","https://openalex.org/W1978885364","https://openalex.org/W1997017524","https://openalex.org/W2015418199","https://openalex.org/W2021583769","https://openalex.org/W2034260606","https://openalex.org/W2103450980","https://openalex.org/W2121830132","https://openalex.org/W2122216974","https://openalex.org/W2127455914","https://openalex.org/W2129131372","https://openalex.org/W2138500679","https://openalex.org/W2145096794","https://openalex.org/W2146000945","https://openalex.org/W2147656689","https://openalex.org/W2163654892","https://openalex.org/W2166314066","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W2540033587","https://openalex.org/W2762625016","https://openalex.org/W2952062907","https://openalex.org/W3105340263","https://openalex.org/W4234595371","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2543920651","https://openalex.org/W4287751532","https://openalex.org/W2467900735","https://openalex.org/W2158962363","https://openalex.org/W3037219774","https://openalex.org/W2166314066","https://openalex.org/W2465351041","https://openalex.org/W3213910434","https://openalex.org/W2103221199","https://openalex.org/W2077520262"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2,118],"we":[3,35],"obtain":[4],"performance":[5],"guarantees":[6],"for":[7,10,15,29,61,94,109],"modified-CS":[8],"and":[9,28,50,129],"its":[11],"improved":[12],"version,":[13],"modified-CS-Add-LS-Del,":[14],"recursive":[16],"reconstruction":[17,63],"of":[18,42,80],"sparse":[19],"signal":[20,32,102,121],"sequences":[21],"from":[22],"noisy":[23],"measurements.":[24],"Under":[25,65],"mild":[26],"assumptions,":[27],"a":[30,48,66],"realistic":[31],"change":[33,69,122],"model,":[34],"show":[36],"that":[37],"the":[38,62,78,92,101,107,120],"support":[39,68],"recovery":[40],"error":[41],"both":[43],"algorithms":[44],"is":[45,58],"bounded":[46],"by":[47],"time-invariant":[49],"small":[51],"value":[52],"at":[53],"all":[54],"times.":[55],"The":[56],"same":[57],"also":[59],"true":[60],"error.":[64],"slow":[67],"assumption,":[70],"our":[71],"results":[72,112],"hold":[73],"under":[74,97],"weaker":[75,98],"assumptions":[76,99],"on":[77,100],"number":[79],"measurements":[81],"than":[82,106],"what":[83],"simple":[84,128],"compressive":[85],"sensing":[86],"(basis":[87],"pursuit":[88],"denoising)":[89],"needs.":[90],"Also,":[91],"result":[93,108],"modified-CS-add-LS-del":[95],"holds":[96],"magnitude":[103],"increase":[104],"rate":[105],"modified-CS.":[110],"Similar":[111],"were":[113],"obtained":[114],"in":[115],"an":[116],"earlier":[117],"however":[119],"model":[123],"assumed":[124],"there":[125],"was":[126],"very":[127],"not":[130],"practically":[131],"valid.":[132]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
