{"id":"https://openalex.org/W3033623585","doi":"https://doi.org/10.1109/lsp.2020.3000291","title":"Power-Law Processor Over Segmentation for Variable Length Transients Detection","display_name":"Power-Law Processor Over Segmentation for Variable Length Transients Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3033623585","doi":"https://doi.org/10.1109/lsp.2020.3000291","mag":"3033623585"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.3000291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3000291","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5101933556","display_name":"Donghoon Shin","orcid":"https://orcid.org/0000-0002-4345-8367"},"institutions":[{"id":"https://openalex.org/I2801036362","display_name":"Agency for Defense Development","ror":"https://ror.org/05fhe0r85","country_code":"KR","type":"government","lineage":["https://openalex.org/I1327899338","https://openalex.org/I1344042128","https://openalex.org/I2801036362","https://openalex.org/I2801339556"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Donghoon Shin","raw_affiliation_strings":["Agency for Defense Development, Gyeongnam, South Korea"],"affiliations":[{"raw_affiliation_string":"Agency for Defense Development, Gyeongnam, South Korea","institution_ids":["https://openalex.org/I2801036362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054028699","display_name":"Hyeon-Deok Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I2801036362","display_name":"Agency for Defense Development","ror":"https://ror.org/05fhe0r85","country_code":"KR","type":"government","lineage":["https://openalex.org/I1327899338","https://openalex.org/I1344042128","https://openalex.org/I2801036362","https://openalex.org/I2801339556"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeon-Deok Cho","raw_affiliation_strings":["Agency for Defense Development, Gyeongnam, South Korea"],"affiliations":[{"raw_affiliation_string":"Agency for Defense Development, Gyeongnam, South Korea","institution_ids":["https://openalex.org/I2801036362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056986191","display_name":"Insik Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I2801036362","display_name":"Agency for Defense Development","ror":"https://ror.org/05fhe0r85","country_code":"KR","type":"government","lineage":["https://openalex.org/I1327899338","https://openalex.org/I1344042128","https://openalex.org/I2801036362","https://openalex.org/I2801339556"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Insik Yang","raw_affiliation_strings":["Agency for Defense Development, Gyeongnam, South Korea"],"affiliations":[{"raw_affiliation_string":"Agency for Defense Development, Gyeongnam, South Korea","institution_ids":["https://openalex.org/I2801036362"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101933556"],"corresponding_institution_ids":["https://openalex.org/I2801036362"],"apc_list":null,"apc_paid":null,"fwci":0.1515,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4118499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"1065","last_page":"1069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T12146","display_name":"Power Line Communications and Noise","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.6659937500953674},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6612169742584229},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6250351667404175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6237760186195374},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.5291944742202759},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5137361288070679},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4505015015602112},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.44475388526916504},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43483296036720276},{"id":"https://openalex.org/keywords/transient-response","display_name":"Transient response","score":0.4191800355911255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3043980002403259},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23958295583724976},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20546430349349976},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18958115577697754},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12713155150413513},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09713497757911682},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07780060172080994}],"concepts":[{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.6659937500953674},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6612169742584229},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6250351667404175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6237760186195374},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.5291944742202759},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5137361288070679},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4505015015602112},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.44475388526916504},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43483296036720276},{"id":"https://openalex.org/C85761212","wikidata":"https://www.wikidata.org/wiki/Q1974593","display_name":"Transient response","level":2,"score":0.4191800355911255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3043980002403259},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23958295583724976},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20546430349349976},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18958115577697754},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12713155150413513},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09713497757911682},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07780060172080994},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2020.3000291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3000291","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W63831908","https://openalex.org/W262082334","https://openalex.org/W1508035405","https://openalex.org/W1579101882","https://openalex.org/W2120471165","https://openalex.org/W2122630306","https://openalex.org/W2122738842","https://openalex.org/W2141771699","https://openalex.org/W2146364947","https://openalex.org/W2152294669","https://openalex.org/W2159965718","https://openalex.org/W2593331508","https://openalex.org/W2626535776","https://openalex.org/W2703438102","https://openalex.org/W6630371478","https://openalex.org/W6634550786"],"related_works":["https://openalex.org/W2014796125","https://openalex.org/W2131408766","https://openalex.org/W2669128877","https://openalex.org/W1985471711","https://openalex.org/W2089389288","https://openalex.org/W2782295999","https://openalex.org/W4385326075","https://openalex.org/W1970292246","https://openalex.org/W2162306796","https://openalex.org/W2917980287"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"we":[3],"aim":[4],"to":[5,16,20,22,74,94],"apply":[6],"Nuttall's":[7],"power-law":[8,104],"processor,":[9],"for":[10],"which":[11],"available":[12,31],"data":[13,32],"are":[14,33],"raised":[15],"a":[17,86],"power":[18],"prior":[19,65,133],"summation,":[21],"the":[23,56,60,68,77,97,115,132],"detection":[24],"of":[25,41,49,67,79,103,108,114,135],"variable":[26],"length":[27],"transient":[28,42,61,69,80,136],"signals.":[29],"The":[30],"often":[34],"couched":[35],"in":[36,110],"frequency":[37,50,83],"domain,":[38],"where":[39],"aggregation":[40],"signal":[43],"energy":[44,81],"into":[45],"relatively":[46],"small":[47],"number":[48],"bins":[51,84],"is":[52,92,119,122],"achieved":[53],"by":[54,100],"matching":[55],"DFT":[57],"size":[58],"with":[59,96,124,129],"length.":[62,137],"However,":[63],"without":[64,131],"knowledge":[66,134],"duration,":[70],"performance":[71],"degrades":[72],"due":[73],"mismatch":[75,98],"and":[76,106,121,130],"spread":[78],"over":[82],"as":[85],"result.":[87],"A":[88],"simple":[89],"segmentation":[90,117],"scheme":[91,118],"proposed":[93,116],"deal":[95],"problem":[99],"exploiting":[101],"robustness":[102],"processor":[105],"contiguity":[107],"transients":[109],"time":[111,126],"domain.":[112],"Performance":[113],"evaluated,":[120],"compared":[123],"two":[125],"domain":[127],"detectors":[128]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}