{"id":"https://openalex.org/W2811055029","doi":"https://doi.org/10.1109/sam.2018.8448723","title":"A Neyman-Pearson Type Sensor Censoring Scheme for Compressive Distributed Sparse Signal Recovery","display_name":"A Neyman-Pearson Type Sensor Censoring Scheme for Compressive Distributed Sparse Signal Recovery","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2811055029","doi":"https://doi.org/10.1109/sam.2018.8448723","mag":"2811055029"},"language":"en","primary_location":{"id":"doi:10.1109/sam.2018.8448723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2018.8448723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/A5004837650","display_name":"Jwo-Yuh Wu","orcid":"https://orcid.org/0000-0002-9608-4346"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jwo-Yuh Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007085399","display_name":"Ming-Hsun Yang","orcid":"https://orcid.org/0000-0002-9719-7801"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Hsun Yang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044821663","display_name":"Tsang-Yi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsang-Yi Wang","raw_affiliation_strings":["Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004837650"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07001767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"213","last_page":"217"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9984999895095825,"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/censoring","display_name":"Censoring (clinical trials)","score":0.847896933555603},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6601811647415161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6510258316993713},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5875260233879089},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5736111998558044},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.4760284721851349},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4392598867416382},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43345749378204346},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3541603684425354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22320520877838135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21651214361190796},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17736950516700745}],"concepts":[{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.847896933555603},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6601811647415161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6510258316993713},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5875260233879089},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5736111998558044},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.4760284721851349},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4392598867416382},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43345749378204346},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3541603684425354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22320520877838135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21651214361190796},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17736950516700745},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam.2018.8448723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam.2018.8448723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9399999976158142,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W340244495","https://openalex.org/W1615087985","https://openalex.org/W1971402995","https://openalex.org/W2009123316","https://openalex.org/W2015418199","https://openalex.org/W2043791244","https://openalex.org/W2075172746","https://openalex.org/W2076072201","https://openalex.org/W2100317021","https://openalex.org/W2104266187","https://openalex.org/W2110357973","https://openalex.org/W2128633079","https://openalex.org/W2136277139","https://openalex.org/W2154131089","https://openalex.org/W2158973156","https://openalex.org/W2163844768","https://openalex.org/W2164452299","https://openalex.org/W2494606451","https://openalex.org/W2963189874"],"related_works":["https://openalex.org/W2363656491","https://openalex.org/W4376988598","https://openalex.org/W2158224665","https://openalex.org/W4388007941","https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"To":[0],"strike":[1],"a":[2,14,40,70,100,145,160,166,174],"balance":[3],"between":[4],"energy":[5],"efficiency":[6],"and":[7,159],"data":[8,48,83],"quality":[9],"control,":[10],"this":[11],"paper":[12],"proposes":[13],"Neyman-Pearson":[15],"type":[16],"sensor":[17,30,37,76],"censoring":[18,72,162,172],"scheme":[19],"for":[20,47],"distributed":[21],"sparse":[22,41,61],"signal":[23,62,96],"recovery":[24],"via":[25],"compressive-sensing":[26],"based":[27],"on":[28,144],"wireless":[29],"networks.":[31],"In":[32],"the":[33,56,60,80,85,95,114,127,142,170,190,193],"proposed":[34,194],"approach,":[35],"each":[36,75],"node":[38],"employs":[39],"sensing":[42,86],"vector":[43,63,87],"with":[44,94],"known":[45],"support":[46,58,88,106,132,151],"compression,":[49],"meanwhile":[50],"enabling":[51],"making":[52],"local":[53],"inference":[54],"about":[55],"unknown":[57],"of":[59,64,169,192],"interest.":[65],"This":[66],"naturally":[67],"leads":[68],"to":[69,91,118,141,188],"ternary":[71],"protocol,":[73],"whereby":[74],"(i)":[77],"directly":[78],"transmits":[79],"real-valued":[81],"compressed":[82],"if":[84,104,113],"is":[89,108,116,134,138,153,157,181],"detected":[90],"be":[92,119],"overlapped":[93],"support,":[97],"(ii)":[98],"sends":[99],"one-bit":[101],"hard":[102],"decision":[103],"empty":[105,131],"overlap":[107,133,152],"inferred,":[109],"(iii)":[110],"keeps":[111],"silent":[112],"measurement":[115],"judged":[117],"uninformative.":[120],"Our":[121],"design":[122],"then":[123],"aims":[124],"at":[125],"minimizing":[126],"error":[128],"probability":[129,148],"that":[130,149],"decided":[135,154],"but":[136,155],"otherwise":[137,156],"true,":[139,158],"subject":[140],"constraints":[143],"tolerable":[146],"false-alarm":[147],"non-empty":[150],"target":[161],"rate.":[163],"We":[164],"derive":[165],"closed-form":[167],"formula":[168],"optimal":[171],"rule;":[173],"low":[175],"complexity":[176],"implementation":[177],"using":[178],"bi-section":[179],"search":[180],"also":[182],"developed.":[183],"Computer":[184],"simulations":[185],"are":[186],"used":[187],"illustrate":[189],"performance":[191],"scheme.":[195]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
