{"id":"https://openalex.org/W1523391825","doi":"https://doi.org/10.1109/iscas.2015.7168663","title":"Performance bound of multiple hypotheses classification in compressed sensing","display_name":"Performance bound of multiple hypotheses classification in compressed sensing","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1523391825","doi":"https://doi.org/10.1109/iscas.2015.7168663","mag":"1523391825"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2015.7168663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2015.7168663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074063024","display_name":"Jiuwen Cao","orcid":"https://orcid.org/0000-0002-6480-5794"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuwen Cao","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, CN","Key Lab for IOT and Information Fusion, Technology of Zhejiang, Hangzhou Dianzi University, 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Hangzhou Dianzi University, Hangzhou, Zhejiang, CN","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"Key Lab for IOT and Information Fusion, Technology of Zhejiang, Hangzhou Dianzi University, 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049506273","display_name":"Zhiping Lin","orcid":"https://orcid.org/0000-0002-1587-1226"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhiping Lin","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore, SG","School of Electrical and Electronic Engineering,  Nanyang Technological University, 639798, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore, SG","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering,  Nanyang Technological University, 639798, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"433","last_page":"436"},"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":0.9998000264167786,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/compressed-sensing","display_name":"Compressed sensing","score":0.9452887773513794},{"id":"https://openalex.org/keywords/restricted-isometry-property","display_name":"Restricted isometry property","score":0.9026156663894653},{"id":"https://openalex.org/keywords/underdetermined-system","display_name":"Underdetermined system","score":0.9003833532333374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6263110041618347},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5479596853256226},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5296273827552795},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5189118981361389},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5160093307495117},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5135729312896729},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48733052611351013},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48158860206604004},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47147655487060547},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.46678626537323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46514880657196045},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46484607458114624},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4576820433139801},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.44092199206352234},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4245930314064026},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.39125603437423706},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2840053141117096},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.127638578414917},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.07869628071784973}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.9452887773513794},{"id":"https://openalex.org/C17902559","wikidata":"https://www.wikidata.org/wiki/Q17099734","display_name":"Restricted isometry property","level":3,"score":0.9026156663894653},{"id":"https://openalex.org/C179690561","wikidata":"https://www.wikidata.org/wiki/Q4316110","display_name":"Underdetermined system","level":2,"score":0.9003833532333374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6263110041618347},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5479596853256226},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5296273827552795},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5189118981361389},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5160093307495117},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5135729312896729},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48733052611351013},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48158860206604004},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47147655487060547},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.46678626537323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46514880657196045},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46484607458114624},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4576820433139801},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.44092199206352234},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4245930314064026},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.39125603437423706},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2840053141117096},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.127638578414917},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.07869628071784973},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2015.7168663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2015.7168663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Circuits and Systems (ISCAS)","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":27,"referenced_works":["https://openalex.org/W1525535255","https://openalex.org/W1965392255","https://openalex.org/W1985679544","https://openalex.org/W1991567646","https://openalex.org/W2017761965","https://openalex.org/W2034260606","https://openalex.org/W2034442194","https://openalex.org/W2054174128","https://openalex.org/W2071692493","https://openalex.org/W2083993605","https://openalex.org/W2093792900","https://openalex.org/W2104783034","https://openalex.org/W2109515693","https://openalex.org/W2120961178","https://openalex.org/W2126131432","https://openalex.org/W2127271355","https://openalex.org/W2130998683","https://openalex.org/W2132555912","https://openalex.org/W2145096794","https://openalex.org/W2145908112","https://openalex.org/W2296616510","https://openalex.org/W3105340263","https://openalex.org/W4250955649","https://openalex.org/W6678689058","https://openalex.org/W6681897715","https://openalex.org/W6820645939","https://openalex.org/W7036799540"],"related_works":["https://openalex.org/W2300663769","https://openalex.org/W1523391825","https://openalex.org/W2541593064","https://openalex.org/W2592754357","https://openalex.org/W1975177374","https://openalex.org/W2585735816","https://openalex.org/W4294549567","https://openalex.org/W1829976833","https://openalex.org/W2914855010","https://openalex.org/W3195902396"],"abstract_inverted_index":{"Compressed":[0],"sensing":[1],"(CS)":[2],"has":[3],"been":[4],"widely":[5],"researched":[6],"in":[7,16,34,111],"the":[8,25,45,56,60,67,72,77,81,87,95,102],"past":[9],"decade":[10],"due":[11],"to":[12],"its":[13],"important":[14],"contributions":[15],"sparse":[17,32,41,65],"signal":[18,74],"processing.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23],"study":[24],"problem":[26],"of":[27,39,59,63,86,94],"multiple":[28],"hypotheses":[29],"classification":[30,69],"with":[31,44,71],"signals":[33,42],"compressed":[35],"sensing.":[36],"The":[37,92],"performance":[38],"classifying":[40],"reconstructed":[43],"underdetermined":[46],"linear":[47],"measurements":[48],"under":[49],"Gaussian":[50],"random":[51],"noise":[52],"is":[53,90,99],"considered.":[54],"With":[55],"prior":[57],"knowledge":[58],"support":[61],"set":[62],"a":[64],"signal,":[66],"theoretical":[68,97],"bound":[70,98],"recovered":[73],"based":[75],"on":[76],"oracle":[78],"estimator":[79],"and":[80],"restricted":[82],"isometry":[83],"property":[84],"(RIP)":[85],"sampling":[88],"matrix":[89],"developed.":[91],"effectiveness":[93],"proposed":[96],"demonstrated":[100],"by":[101,106],"simulations":[103],"results":[104],"obtained":[105],"four":[107],"representative":[108],"reconstruction":[109],"algorithms":[110],"CS.":[112]},"counts_by_year":[{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}