{"id":"https://openalex.org/W2060430274","doi":"https://doi.org/10.1109/ciss.2008.4558487","title":"1-Bit compressive sensing","display_name":"1-Bit compressive sensing","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2060430274","doi":"https://doi.org/10.1109/ciss.2008.4558487","mag":"2060430274"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2008.4558487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2008.4558487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 42nd Annual Conference on Information Sciences and Systems","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/A5034522188","display_name":"Petros T. Boufounos","orcid":"https://orcid.org/0000-0003-1369-0947"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Petros T. Boufounos","raw_affiliation_strings":["Electrical and Computer Engineering, Rice University, Houston, TX, USA","Rice University (Houston, TX)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Rice University (Houston, TX)","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072713767","display_name":"Richard G. Baraniuk","orcid":"https://orcid.org/0000-0002-0721-8999"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard G. Baraniuk","raw_affiliation_strings":["Electrical and Computer Engineering, Rice University, Houston, TX, USA","Rice University (Houston, TX)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Rice University (Houston, TX)","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034522188"],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":17.2185,"has_fulltext":false,"cited_by_count":738,"citation_normalized_percentile":{"value":0.99522049,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"21"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.95334792137146},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7304339408874512},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.7055968642234802},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5989645719528198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5653392672538757},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5298773050308228},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5204825401306152},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.37322819232940674},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.325867623090744},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.20760449767112732},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09098833799362183}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.95334792137146},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7304339408874512},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.7055968642234802},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5989645719528198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5653392672538757},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5298773050308228},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5204825401306152},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.37322819232940674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.325867623090744},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.20760449767112732},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09098833799362183},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ciss.2008.4558487","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2008.4558487","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 42nd Annual Conference on Information Sciences and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.154.8378","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.154.8378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.owlnet.rice.edu/~petrosb/Publications/Boufounos_Baraniuk_CISS08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1580014081","https://openalex.org/W1973702046","https://openalex.org/W1976318178","https://openalex.org/W2050834445","https://openalex.org/W2052099679","https://openalex.org/W2063978378","https://openalex.org/W2083042020","https://openalex.org/W2109449402","https://openalex.org/W2114147096","https://openalex.org/W2129131372","https://openalex.org/W2129638195","https://openalex.org/W2145096794","https://openalex.org/W2164452299","https://openalex.org/W2296616510","https://openalex.org/W4250955649"],"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":{"Compressive":[0,69],"sensing":[1,36,70,132,195],"is":[2,49,61,89,124,176],"a":[3,41,53,93,166,179],"new":[4],"signal":[5,48,60,95,167,175,201],"acquisition":[6],"technology":[7],"with":[8,40,64],"the":[9,13,33,58,65,82,86,98,106,115,119,129,136,149,153,162,169,173,192,200,207],"potential":[10],"to":[11,18,75,78,91,97,126,164,191],"reduce":[12],"number":[14,208],"of":[15,44,81,109,118,209],"measurements":[16,66,138,155,210],"required":[17],"acquire":[19],"signals":[20],"that":[21,56,184],"are":[22],"sparse":[23,94,174,204],"or":[24],"compressible":[25],"in":[26,84,144],"some":[27],"basis.":[28],"Rather":[29],"than":[30],"uniformly":[31],"sampling":[32],"signal,":[34],"compressive":[35,131,194],"computes":[37],"inner":[38],"products":[39],"randomized":[42],"dictionary":[43],"test":[45],"functions.":[46],"The":[47],"then":[50],"recovered":[51,59,177],"by":[52,134,151],"convex":[54],"optimization":[55,163],"ensures":[57],"both":[62],"consistent":[63,96],"and":[67,159,205],"sparse.":[68],"reconstruction":[71,87,196],"has":[72],"been":[73],"shown":[74],"be":[76],"robust":[77],"multi-level":[79],"quantization":[80,99],"measurements,":[83,111],"which":[85,112],"algorithm":[88],"modified":[90],"recover":[92,165],"measurements.":[100,121],"In":[101],"this":[102,145,185],"paper":[103,146],"we":[104,147],"consider":[105],"limiting":[107],"case":[108],"1-bit":[110,137,154],"preserve":[113],"only":[114],"sign":[116,157],"information":[117],"random":[120],"Although":[122],"it":[123],"possible":[125],"reconstruct":[127],"using":[128],"classical":[130,193],"approach":[133,186],"treating":[135,152],"as":[139,156,199,206],"plusmn":[140],"1":[141],"measurement":[142],"values,":[143],"reformulate":[148],"problem":[150],"constraints":[158],"further":[160],"constraining":[161],"on":[168],"unit":[170],"sphere.":[171],"Thus":[172],"within":[178],"scaling":[180],"factor.":[181],"We":[182],"demonstrate":[183],"performs":[187],"significantly":[188],"better":[189],"compared":[190],"methods,":[197],"even":[198],"becomes":[202],"less":[203],"increases.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":55},{"year":2020,"cited_by_count":61},{"year":2019,"cited_by_count":84},{"year":2018,"cited_by_count":66},{"year":2017,"cited_by_count":69},{"year":2016,"cited_by_count":75},{"year":2015,"cited_by_count":57},{"year":2014,"cited_by_count":50},{"year":2013,"cited_by_count":39},{"year":2012,"cited_by_count":24}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}
