{"id":"https://openalex.org/W2157184353","doi":"https://doi.org/10.1109/icassp.2009.4960244","title":"Inflating compressed samples: A joint source-channel coding approach for noise-resistant compressed sensing","display_name":"Inflating compressed samples: A joint source-channel coding approach for noise-resistant compressed sensing","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2157184353","doi":"https://doi.org/10.1109/icassp.2009.4960244","mag":"2157184353"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4960244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5077628622","display_name":"A. HesamMohseni","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"A. HesamMohseni","raw_affiliation_strings":["Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083199991","display_name":"Massoud Babaie\u2010Zadeh","orcid":"https://orcid.org/0000-0001-8864-4756"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"M. Babaie-Zadeh","raw_affiliation_strings":["Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055562421","display_name":"Christian Jutten","orcid":"https://orcid.org/0000-0002-4477-4847"},"institutions":[{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C. Jutten","raw_affiliation_strings":["GIPSA Laboratory, Grenoble, France"],"affiliations":[{"raw_affiliation_string":"GIPSA Laboratory, Grenoble, France","institution_ids":["https://openalex.org/I4210124956"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077628622"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.7104,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75023449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"333","issue":null,"first_page":"2957","last_page":"2960"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/compressed-sensing","display_name":"Compressed sensing","score":0.8188252449035645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6300849318504333},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5544975399971008},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5147940516471863},{"id":"https://openalex.org/keywords/random-projection","display_name":"Random projection","score":0.5079780220985413},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4962955117225647},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.493522047996521},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.49345722794532776},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.4655868113040924},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4311872124671936},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41218191385269165},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.29759493470191956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21629446744918823},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09922495484352112}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8188252449035645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6300849318504333},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5544975399971008},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5147940516471863},{"id":"https://openalex.org/C2777036070","wikidata":"https://www.wikidata.org/wiki/Q18393452","display_name":"Random projection","level":2,"score":0.5079780220985413},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4962955117225647},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.493522047996521},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.49345722794532776},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.4655868113040924},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4311872124671936},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41218191385269165},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.29759493470191956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21629446744918823},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09922495484352112},{"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/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2009.4960244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.324.4429","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.4429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hal.archives-ouvertes.fr/docs/00/40/06/93/PDF/ICASSP2009_CCS_HesamMohseniBJ.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2020593864","https://openalex.org/W2030449718","https://openalex.org/W2062747674","https://openalex.org/W2083042020","https://openalex.org/W2083563565","https://openalex.org/W2100068253","https://openalex.org/W2114147096","https://openalex.org/W2119118829","https://openalex.org/W2129131372","https://openalex.org/W2140817291","https://openalex.org/W2164452299","https://openalex.org/W2289917018","https://openalex.org/W6681072642"],"related_works":["https://openalex.org/W1991133639","https://openalex.org/W2159720070","https://openalex.org/W2157134024","https://openalex.org/W2463830379","https://openalex.org/W2985488186","https://openalex.org/W2165264176","https://openalex.org/W2290527899","https://openalex.org/W2286538174","https://openalex.org/W2571655022","https://openalex.org/W3143566216"],"abstract_inverted_index":{"Recently,":[0],"a":[1,19,69,87,124,149],"lot":[2],"of":[3,21,29,35,72,86,90,114,156,168],"research":[4],"has":[5],"been":[6,103],"done":[7,47],"on":[8,126],"compressed":[9,127],"sensing,":[10],"capturing":[11],"compressible":[12],"signals":[13],"using":[14],"random":[15],"linear":[16,42],"projections":[17,101],"to":[18,59,75,111,133],"space":[20],"radically":[22,40],"lower":[23],"dimension":[24,28],"than":[25],"the":[26,30,39,61,84,112,115,154,171],"ambient":[27],"signal.":[31],"The":[32],"main":[33],"impetus":[34],"this":[36],"is":[37,137,170],"that":[38,105,129,183],"dimension-lowering":[41],"projection":[43],"step":[44],"can":[45],"be":[46,76],"totally":[48],"in":[49,52,56,63,80,117,148,153,176,188],"analog":[50,141],"hardware,":[51],"some":[53],"cases":[54],"even":[55,200],"constant":[57],"time,":[58],"avoid":[60],"bottleneck":[62],"sensing":[64,128,195],"and":[65,78,94,173,187,197],"quantization":[66],"steps":[67],"where":[68],"large":[70,88],"number":[71,89,155],"samples":[73],"need":[74],"sensed":[77],"quantized":[79],"short":[81],"order,":[82],"mandating":[83],"use":[85],"fast":[91],"expensive":[92],"sensors":[93],"A/D":[95],"converters.":[96],"Reconstruction":[97],"algorithms":[98],"from":[99],"these":[100],"have":[102],"found":[104],"come":[106],"within":[107],"distortion":[108],"levels":[109],"comparable":[110],"state":[113],"art":[116],"lossy":[118],"compression":[119],"algorithms.":[120],"This":[121,136],"paper":[122],"considers":[123],"variation":[125],"makes":[130,159],"it":[131],"resistant":[132],"spiky":[134,163],"noise.":[135,206],"achieved":[138],"by":[139],"an":[140],"real-field":[142],"error-correction":[143],"coding":[144],"step.":[145],"It":[146],"results":[147],"small":[150,202],"asymptotic":[151],"overhead":[152],"samples,":[157],"but":[158],"exact":[160],"reconstruction":[161,192],"under":[162,193,201],"measurement":[164],"noise,":[165],"one":[166],"type":[167],"which":[169],"salt":[172],"pepper":[174],"noise":[175],"imaging":[177],"devices,":[178],"possible.":[179],"Simulations":[180],"are":[181,198],"performed":[182],"corroborate":[184],"our":[185],"claim":[186],"fact":[189],"substantially":[190],"improve":[191],"unreliable":[194],"characteristics":[196],"stable":[199],"perturbations":[203],"with":[204],"Gaussian":[205]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}