{"id":"https://openalex.org/W3039313173","doi":"https://doi.org/10.1109/tsp.2020.3006766","title":"Low-Complexity On-Demand Reconstruction for Compressively Sensed Problematic Signals","display_name":"Low-Complexity On-Demand Reconstruction for Compressively Sensed Problematic Signals","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3039313173","doi":"https://doi.org/10.1109/tsp.2020.3006766","mag":"3039313173"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2020.3006766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2020.3006766","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-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/A5075824095","display_name":"Ching-Yao Chou","orcid":"https://orcid.org/0000-0002-7270-9567"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Yao Chou","raw_affiliation_strings":["Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-7270-9567","affiliations":[{"raw_affiliation_string":"Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084321291","display_name":"Kai\u2013Chieh Hsu","orcid":"https://orcid.org/0000-0002-3261-7510"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Chieh Hsu","raw_affiliation_strings":["Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-3261-7510","affiliations":[{"raw_affiliation_string":"Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056758029","display_name":"Bo-Hong Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bo-Hong Cho","raw_affiliation_strings":["Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101881013","display_name":"Kuan-Chun Chen","orcid":"https://orcid.org/0000-0002-2003-609X"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Chun Chen","raw_affiliation_strings":["Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-2003-609X","affiliations":[{"raw_affiliation_string":"Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109465340","display_name":"An-Yeu Wu","orcid":"https://orcid.org/0000-0003-4731-8633"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"An-Yeu Andy Wu","raw_affiliation_strings":["Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-4731-8633","affiliations":[{"raw_affiliation_string":"Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7203,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.65724287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"68","issue":null,"first_page":"4094","last_page":"4107"},"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9994000196456909,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.734406054019928},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6899172067642212},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5831530690193176},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5614606738090515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4957517087459564},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4747118055820465},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4665173292160034},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.4386886656284332},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.428221732378006},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3665410280227661},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.34245753288269043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3424570560455322},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33455103635787964},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18163815140724182},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1607089340686798},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12735959887504578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.734406054019928},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6899172067642212},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5831530690193176},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5614606738090515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4957517087459564},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4747118055820465},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4665173292160034},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.4386886656284332},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.428221732378006},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3665410280227661},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34245753288269043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3424570560455322},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33455103635787964},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18163815140724182},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1607089340686798},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12735959887504578},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2020.3006766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2020.3006766","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G1070498037","display_name":null,"funder_award_id":"NTU-108L104039","funder_id":"https://openalex.org/F4320323900","funder_display_name":"National Taiwan University"},{"id":"https://openalex.org/G3378190097","display_name":null,"funder_award_id":"MOST 106-2221-E-002 -204 -MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G6909802755","display_name":null,"funder_award_id":"MOST 108-2633-E-002-001","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320307102","display_name":"Intel Corporation","ror":"https://ror.org/01ek73717"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320323900","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W129703402","https://openalex.org/W1551219034","https://openalex.org/W1828462930","https://openalex.org/W1972142091","https://openalex.org/W1990710993","https://openalex.org/W1992405901","https://openalex.org/W1999368465","https://openalex.org/W2038190601","https://openalex.org/W2088254198","https://openalex.org/W2088658556","https://openalex.org/W2100556411","https://openalex.org/W2109449402","https://openalex.org/W2111271723","https://openalex.org/W2112447569","https://openalex.org/W2127271355","https://openalex.org/W2129638195","https://openalex.org/W2134207998","https://openalex.org/W2136995369","https://openalex.org/W2146182710","https://openalex.org/W2150579376","https://openalex.org/W2153635508","https://openalex.org/W2154483232","https://openalex.org/W2160547390","https://openalex.org/W2160979406","https://openalex.org/W2161581368","https://openalex.org/W2163112044","https://openalex.org/W2169382889","https://openalex.org/W2215070789","https://openalex.org/W2289252105","https://openalex.org/W2296616510","https://openalex.org/W2517723848","https://openalex.org/W2539009049","https://openalex.org/W2543892465","https://openalex.org/W2620499752","https://openalex.org/W2770136513","https://openalex.org/W2773339846","https://openalex.org/W2792059827","https://openalex.org/W2808003473","https://openalex.org/W2886386175","https://openalex.org/W2901602867","https://openalex.org/W2940408044","https://openalex.org/W3099438410","https://openalex.org/W4250955649","https://openalex.org/W6676727762","https://openalex.org/W6681865382","https://openalex.org/W6684040909","https://openalex.org/W6752387798"],"related_works":["https://openalex.org/W2012574959","https://openalex.org/W1770817708","https://openalex.org/W3103056594","https://openalex.org/W2745670691","https://openalex.org/W2991337943","https://openalex.org/W1964291319","https://openalex.org/W1482172756","https://openalex.org/W2090653623","https://openalex.org/W4206111946","https://openalex.org/W3039313173"],"abstract_inverted_index":{"Compressed":[0],"Sensing":[1],"(CS)":[2],"is":[3,133,140,155,165],"a":[4,47,97,110,129,192],"revolutionary":[5],"technology":[6],"for":[7,29,46,80],"realizing":[8],"low-power":[9],"sensor":[10],"nodes":[11],"through":[12],"sub-Nyquist":[13],"sampling,":[14],"and":[15,75,195,201],"the":[16,26,41,63,70,117,126,184],"CS":[17,84,93,187,200],"reconstruction":[18,100,127,188],"engines":[19],"have":[20],"been":[21],"widely":[22],"studied":[23],"to":[24,39,68,89,124,137,159,168,198],"fulfill":[25],"energy":[27],"efficiency":[28],"real-time":[30],"processing.":[31],"However,":[32],"in":[33,66,142,174],"most":[34],"cases,":[35],"we":[36,58,95,171],"only":[37],"want":[38],"analyze":[40],"problematic":[42],"signals":[43,105],"which":[44,115],"account":[45],"very":[48],"low":[49],"percentage.":[50],"Therefore,":[51],"large":[52],"efforts":[53],"will":[54],"be":[55,107],"wasted":[56],"if":[57],"recover":[59],"uninterested":[60],"signals.":[61],"On":[62],"other":[64,82],"hand,":[65],"order":[67],"identify":[69],"high-risk":[71],"signals,":[72],"additional":[73],"hardware":[74,118],"computation":[76],"overhead":[77],"are":[78],"required":[79],"classification":[81,136],"than":[83],"reconstruction.":[85,122,138],"In":[86],"this":[87],"paper,":[88],"achieve":[90],"low-complexity":[91],"on-demand":[92],"reconstruction,":[94],"propose":[96],"two-stage":[98],"classification-aided":[99],"(TS-CAR)":[101],"framework.":[102],"The":[103,149,179],"compressed":[104],"can":[106,190],"classified":[108],"with":[109,121],"sparse":[111,131],"coding":[112],"based":[113,144],"classifier,":[114],"provides":[116],"sharing":[119],"potential":[120],"Furthermore,":[123],"accelerate":[125],"speed,":[128],"cross-domain":[130],"transform":[132],"applied":[134],"from":[135],"TS-CAR":[139,154,173],"implemented":[141],"electrocardiography":[143],"atrial":[145],"fibrillation":[146],"(AF)":[147],"detection.":[148],"average":[150],"computational":[151],"cost":[152],"of":[153],"2.25\u00d7":[156],"fewer":[157],"compared":[158,197],"traditional":[160],"frameworks":[161],"when":[162],"AF":[163],"percentage":[164],"among":[166],"10%":[167],"50%.":[169],"Finally,":[170],"implement":[172],"TSMC":[175],"40":[176],"nm":[177],"technology.":[178],"post-layout":[180],"results":[181],"show":[182],"that":[183],"proposed":[185],"intelligent":[186],"engine":[189],"provide":[191],"competitive":[193],"area-":[194],"energy-efficiency":[196],"state-of-the-art":[199],"machine":[202],"learning":[203],"engines.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
