{"id":"https://openalex.org/W2798422870","doi":"https://doi.org/10.1109/acssc.2017.8335467","title":"Sparse recovery with quantized multiple measurement vectors","display_name":"Sparse recovery with quantized multiple measurement vectors","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2798422870","doi":"https://doi.org/10.1109/acssc.2017.8335467","mag":"2798422870"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2017.8335467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2017.8335467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","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/A5048290105","display_name":"Yacong Ding","orcid":"https://orcid.org/0000-0003-4792-617X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yacong Ding","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040867232","display_name":"Sung-En Chiu","orcid":"https://orcid.org/0000-0002-4220-2327"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sung-En Chiu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001700017","display_name":"Bhaskar D. Rao","orcid":"https://orcid.org/0000-0001-6357-689X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhaskar D. Rao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048290105"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.23181316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"845","last_page":"849"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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":0.9984999895095825,"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/sparse-matrix","display_name":"Sparse matrix","score":0.6744243502616882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6344455480575562},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.5697558522224426},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5653015375137329},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5249925851821899},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5146792531013489},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4762166440486908},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.460791677236557},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4498799741268158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2544670104980469},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25407350063323975},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07614222168922424}],"concepts":[{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.6744243502616882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6344455480575562},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.5697558522224426},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5653015375137329},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5249925851821899},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5146792531013489},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4762166440486908},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.460791677236557},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4498799741268158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2544670104980469},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25407350063323975},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07614222168922424},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","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":1,"locations":[{"id":"doi:10.1109/acssc.2017.8335467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2017.8335467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 51st Asilomar Conference on Signals, Systems, and Computers","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":29,"referenced_works":["https://openalex.org/W1974774078","https://openalex.org/W1979186671","https://openalex.org/W1987415890","https://openalex.org/W1991567646","https://openalex.org/W2053637529","https://openalex.org/W2060430274","https://openalex.org/W2107710506","https://openalex.org/W2112038498","https://openalex.org/W2115979064","https://openalex.org/W2119667497","https://openalex.org/W2129638195","https://openalex.org/W2146000945","https://openalex.org/W2148154358","https://openalex.org/W2152279006","https://openalex.org/W2154423986","https://openalex.org/W2156358825","https://openalex.org/W2162409952","https://openalex.org/W2166659185","https://openalex.org/W2291033212","https://openalex.org/W2636013260","https://openalex.org/W2793020257","https://openalex.org/W2962959174","https://openalex.org/W2964322027","https://openalex.org/W3145937384","https://openalex.org/W4235713725","https://openalex.org/W4285719527","https://openalex.org/W6676234565","https://openalex.org/W6682671827","https://openalex.org/W6749242457"],"related_works":["https://openalex.org/W2121067345","https://openalex.org/W3209251257","https://openalex.org/W2091883426","https://openalex.org/W3173235360","https://openalex.org/W2737338842","https://openalex.org/W2174948646","https://openalex.org/W3005946484","https://openalex.org/W2024017047","https://openalex.org/W4318256793","https://openalex.org/W2051410394"],"abstract_inverted_index":{"We":[0,61],"address":[1],"the":[2,29,34,68,71,74,86],"quantized":[3],"sparse":[4,26,31,46],"recovery":[5,80],"problem":[6],"with":[7],"multiple":[8],"measurement":[9,13],"vectors,":[10],"where":[11],"each":[12],"is":[14,36,49,52],"represented":[15],"using":[16],"a":[17],"finite":[18],"number":[19,69],"of":[20,70],"bits.":[21],"The":[22],"source":[23],"signals":[24],"are":[25,88],"and":[27,33,57],"share":[28],"same":[30],"support,":[32],"goal":[35],"to":[37,54,83],"recover":[38],"that":[39,66,84],"support.":[40],"A":[41],"general":[42],"framework":[43],"based":[44],"on":[45],"Bayesian":[47],"learning":[48],"developed,":[50],"which":[51],"applicable":[53],"both":[55],"1-bit":[56],"multi-bit":[58],"scalar":[59],"quantization.":[60],"show":[62],"through":[63],"numerical":[64],"simulations":[65],"as":[67],"measurements":[72,87],"increases,":[73],"proposed":[75],"algorithm":[76],"can":[77],"provide":[78],"support":[79],"performance":[81],"similar":[82],"when":[85],"unquantized.":[89]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}