{"id":"https://openalex.org/W2030171659","doi":"https://doi.org/10.1109/ssp.2012.6319663","title":"Adaptive filtering for lightning electric field (LEF) signals in fractional Fourier domain","display_name":"Adaptive filtering for lightning electric field (LEF) signals in fractional Fourier domain","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2030171659","doi":"https://doi.org/10.1109/ssp.2012.6319663","mag":"2030171659"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2012.6319663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","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/A5080020679","display_name":"Herbert E. Rojas","orcid":"https://orcid.org/0000-0003-1253-6964"},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":true,"raw_author_name":"Herbert Rojas","raw_affiliation_strings":["Electromagnetic Compatibility Group EMC, Universidad Nacional de Colombia, Bogota, Colombia","Universidad Nacional de Colombia, Electromagnetic Compatibility Group, EMC-UNC, Bogot\u00e1, Colombia"],"affiliations":[{"raw_affiliation_string":"Electromagnetic Compatibility Group EMC, Universidad Nacional de Colombia, Bogota, Colombia","institution_ids":["https://openalex.org/I36243813"]},{"raw_affiliation_string":"Universidad Nacional de Colombia, Electromagnetic Compatibility Group, EMC-UNC, Bogot\u00e1, Colombia","institution_ids":["https://openalex.org/I36243813"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042630050","display_name":"Camilo A. Cort\u00e9s","orcid":"https://orcid.org/0000-0002-0986-3975"},"institutions":[{"id":"https://openalex.org/I36243813","display_name":"Universidad Nacional de Colombia","ror":"https://ror.org/059yx9a68","country_code":"CO","type":"education","lineage":["https://openalex.org/I36243813"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Camilo Cortes","raw_affiliation_strings":["Electromagnetic Compatibility Group EMC, Universidad Nacional de Colombia, Bogota, Colombia","Universidad Nacional de Colombia, Electromagnetic Compatibility Group, EMC-UNC, Bogot\u00e1, Colombia"],"affiliations":[{"raw_affiliation_string":"Electromagnetic Compatibility Group EMC, Universidad Nacional de Colombia, Bogota, Colombia","institution_ids":["https://openalex.org/I36243813"]},{"raw_affiliation_string":"Universidad Nacional de Colombia, Electromagnetic Compatibility Group, EMC-UNC, Bogot\u00e1, Colombia","institution_ids":["https://openalex.org/I36243813"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080020679"],"corresponding_institution_ids":["https://openalex.org/I36243813"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56454326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"213","last_page":"216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.7710232734680176},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.612321674823761},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5961284637451172},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5688256621360779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5552425980567932},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5194101333618164},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5138983726501465},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.49288463592529297},{"id":"https://openalex.org/keywords/lightning","display_name":"Lightning (connector)","score":0.4723328649997711},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.4393070936203003},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4024129807949066},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3186565637588501},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2550918757915497},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.194604754447937},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.1726231873035431},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1359294056892395},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0936562716960907},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06612390279769897}],"concepts":[{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.7710232734680176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.612321674823761},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5961284637451172},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5688256621360779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5552425980567932},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5194101333618164},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5138983726501465},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.49288463592529297},{"id":"https://openalex.org/C69398868","wikidata":"https://www.wikidata.org/wiki/Q129052","display_name":"Lightning (connector)","level":3,"score":0.4723328649997711},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.4393070936203003},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4024129807949066},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3186565637588501},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2550918757915497},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.194604754447937},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.1726231873035431},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1359294056892395},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0936562716960907},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06612390279769897},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp.2012.6319663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1541990165","https://openalex.org/W1547024873","https://openalex.org/W1988064655","https://openalex.org/W1999542175","https://openalex.org/W2007078564","https://openalex.org/W2051390178","https://openalex.org/W2106786399","https://openalex.org/W2110063971","https://openalex.org/W2129665097","https://openalex.org/W2136106070","https://openalex.org/W2145576488"],"related_works":["https://openalex.org/W2287235845","https://openalex.org/W2586228848","https://openalex.org/W2081837274","https://openalex.org/W2253481662","https://openalex.org/W1998353256","https://openalex.org/W2357454918","https://openalex.org/W2189195857","https://openalex.org/W3040496336","https://openalex.org/W2370278301","https://openalex.org/W2146261928"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,11,34,40,51,65,74,80,83,88,95,107],"application":[4],"of":[5,39,82,94],"an":[6],"adaptive":[7,27,47],"filtering":[8,48],"algorithm,":[9],"including":[10],"parameter":[12],"estimation,":[13],"in":[14,29,33,113],"fractional":[15,41],"Fourier":[16,42],"transform":[17,43],"domain":[18],"(FRFd)":[19],"for":[20,101],"lightning":[21],"electric":[22],"field":[23],"(LEF)":[24],"signals.":[25],"The":[26,45,91],"algorithm":[28,49,89,109],"FRFd":[30],"is":[31,76,99],"based":[32],"good":[35],"energy":[36],"concentration":[37],"property":[38],"(FRFT).":[44],"proposed":[46,108],"integrates":[50],"advantages":[52],"that":[53,106],"LLMS":[54],"and":[55],"NLMS":[56],"algorithms":[57],"possess,":[58],"introducing":[59],"a":[60,70],"leakage":[61],"factor":[62],"to":[63,78],"reduce":[64,79],"memory":[66],"effect":[67,81],"when":[68],"tracking":[69],"non-stationary":[71],"signal.":[72],"Moreover,":[73],"step-size":[75],"normalized":[77],"input":[84],"signal":[85,98],"power":[86],"on":[87],"performance.":[90],"SNR":[92,115],"behavior":[93],"output":[96],"filtered":[97],"analyzed":[100],"different":[102],"LEF":[103],"signals,":[104],"showing":[105],"have":[110],"better":[111],"performance":[112],"low":[114],"environment.":[116]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
