{"id":"https://openalex.org/W2917340443","doi":"https://doi.org/10.1109/glocom.2018.8647206","title":"Signal Restoration Based on Temporal Structure and Multi-Layer Architecture","display_name":"Signal Restoration Based on Temporal Structure and Multi-Layer Architecture","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2917340443","doi":"https://doi.org/10.1109/glocom.2018.8647206","mag":"2917340443"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2018.8647206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","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/A5100364363","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0001-5099-0522"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Lu Wang","raw_affiliation_strings":["Graduate School of Science and Technology, Keio University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016337773","display_name":"Tomoaki Ohtsuki","orcid":"https://orcid.org/0000-0003-3961-1426"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoaki Ohtsuki","raw_affiliation_strings":["Department of Information and Computer Science, Keio University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Science, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100364363"],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":0.1651,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49645296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9976999759674072,"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":0.9972000122070312,"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/robustness","display_name":"Robustness (evolution)","score":0.7346197366714478},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6414907574653625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5930045247077942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5927167534828186},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.5718805193901062},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5484389662742615},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.48027491569519043},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4798000156879425},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4672783613204956},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41293445229530334},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.3329737186431885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2896398603916168},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10107588768005371}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7346197366714478},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6414907574653625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5930045247077942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5927167534828186},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.5718805193901062},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5484389662742615},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.48027491569519043},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4798000156879425},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4672783613204956},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41293445229530334},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.3329737186431885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2896398603916168},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10107588768005371},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2018.8647206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8199999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W108223363","https://openalex.org/W1518341038","https://openalex.org/W1526092162","https://openalex.org/W1583912456","https://openalex.org/W1588424744","https://openalex.org/W1755563775","https://openalex.org/W2001141328","https://openalex.org/W2012762214","https://openalex.org/W2033791041","https://openalex.org/W2122664326","https://openalex.org/W2163922914","https://openalex.org/W2169314529","https://openalex.org/W2297949011","https://openalex.org/W2344461865","https://openalex.org/W2528648358","https://openalex.org/W2568308529","https://openalex.org/W2619372479","https://openalex.org/W2657268502","https://openalex.org/W2669032454","https://openalex.org/W2787635389","https://openalex.org/W4205778870","https://openalex.org/W4285719527","https://openalex.org/W6604332010","https://openalex.org/W6634941687","https://openalex.org/W6684543371","https://openalex.org/W6740361012"],"related_works":["https://openalex.org/W2062605435","https://openalex.org/W2273182195","https://openalex.org/W2186374051","https://openalex.org/W2377963109","https://openalex.org/W2022279172","https://openalex.org/W2352247021","https://openalex.org/W2145835458","https://openalex.org/W2059332403","https://openalex.org/W2383482627","https://openalex.org/W3153752017"],"abstract_inverted_index":{"Signal":[0],"restoration":[1,17],"involves":[2],"the":[3,19,24,31,51,54,68,77,97,107,115,119,128,133,136,141,158,165,176],"removal":[4],"or":[5,27,151],"minimization":[6],"of":[7,21,53,62,70,109,123,135],"degradation":[8],"such":[9,80],"as":[10],"attenuation,":[11],"interference,":[12],"and":[13,121],"noise.":[14],"Blind":[15],"signal":[16],"is":[18,65,88,161],"process":[20],"estimating":[22],"either":[23],"original":[25,39],"signals":[26],"mixture":[28,150,167],"functions":[29],"from":[30,175],"degraded":[32],"signals,":[33],"without":[34,144],"any":[35,148],"prior":[36],"information":[37],"about":[38],"sources.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44],"present":[45],"a":[46,84,92,102],"novel":[47],"approach":[48],"to":[49,75,147,163],"tackle":[50],"ill-posedness":[52],"nonlinear":[55,103,166],"blind":[56],"source":[57],"separation":[58,170],"problem.":[59,95],"The":[60],"derivation":[61],"our":[63],"algorithm":[64,160],"inspired":[66],"by":[67,90],"idea":[69],"an":[71],"efficient":[72],"layer-by-layer":[73],"representation":[74],"approximate":[76],"nonlinearity.":[78],"Once":[79],"representations":[81],"are":[82],"built,":[83],"final":[85],"output":[86],"layer":[87],"constructed":[89],"solving":[91],"convex":[93],"optimization":[94],"Thus,":[96],"projected":[98],"data":[99],"can":[100],"break":[101],"problem":[104,113,143],"down":[105],"into":[106],"version":[108],"generalized":[110],"joint":[111],"diagonalization":[112],"in":[114],"feature":[116],"space.":[117],"Importantly,":[118],"parameters":[120],"forms":[122],"polynomials":[124],"depend":[125],"solely":[126],"on":[127,172],"input":[129],"data,":[130],"which":[131],"guarantee":[132],"robustness":[134],"structure.":[137],"We":[138],"thus":[139],"address":[140],"general":[142],"being":[145],"restricted":[146],"specific":[149],"parametric":[152],"model.":[153],"Experimental":[154],"results":[155],"show":[156],"that":[157],"proposed":[159],"able":[162],"recover":[164],"with":[168],"higher":[169],"accuracy":[171],"audio":[173],"datasets":[174],"real":[177],"world.":[178]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
