{"id":"https://openalex.org/W2915164951","doi":"https://doi.org/10.1109/glocom.2018.8647262","title":"Spectral Entropy Features Based Analysis of Impulse Noise Sources for PLC Systems","display_name":"Spectral Entropy Features Based Analysis of Impulse Noise Sources for PLC Systems","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2915164951","doi":"https://doi.org/10.1109/glocom.2018.8647262","mag":"2915164951"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2018.8647262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647262","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/A5111546768","display_name":"Neelima Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Neelima Singh","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology-Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology-Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066116024","display_name":"Brejesh Lall","orcid":"https://orcid.org/0000-0003-2677-3071"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Brejesh Lall","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology-Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology-Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111546768"],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":0.1288,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.52186682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9936000108718872,"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/T10573","display_name":"Power Quality and Harmonics","score":0.9901000261306763,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.7017054557800293},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.6733227968215942},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.6623585224151611},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6072224378585815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5723448991775513},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5351524949073792},{"id":"https://openalex.org/keywords/maximum-entropy-spectral-estimation","display_name":"Maximum entropy spectral estimation","score":0.5300657153129578},{"id":"https://openalex.org/keywords/spectral-power-distribution","display_name":"Spectral power distribution","score":0.4566847085952759},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"Spectral analysis","score":0.4560203552246094},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4127446413040161},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34327057003974915},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2434556484222412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2252642810344696},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.20969638228416443},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20345935225486755},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17589280009269714}],"concepts":[{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.7017054557800293},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.6733227968215942},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.6623585224151611},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6072224378585815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5723448991775513},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5351524949073792},{"id":"https://openalex.org/C89735579","wikidata":"https://www.wikidata.org/wiki/Q6795894","display_name":"Maximum entropy spectral estimation","level":3,"score":0.5300657153129578},{"id":"https://openalex.org/C94360122","wikidata":"https://www.wikidata.org/wiki/Q1967557","display_name":"Spectral power distribution","level":2,"score":0.4566847085952759},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.4560203552246094},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4127446413040161},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34327057003974915},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2434556484222412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2252642810344696},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.20969638228416443},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20345935225486755},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17589280009269714},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2018.8647262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647262","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/7","display_name":"Affordable and clean energy","score":0.7099999785423279}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308258","display_name":"Qualcomm","ror":"https://ror.org/002zrf773"},{"id":"https://openalex.org/F4320324473","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1991033480","https://openalex.org/W1995875735","https://openalex.org/W2040786709","https://openalex.org/W2041404167","https://openalex.org/W2058166291","https://openalex.org/W2103441992","https://openalex.org/W2132817367","https://openalex.org/W2144583725","https://openalex.org/W2406934914","https://openalex.org/W2999729612","https://openalex.org/W4298882835"],"related_works":["https://openalex.org/W262848098","https://openalex.org/W2343373123","https://openalex.org/W1551847573","https://openalex.org/W2101345931","https://openalex.org/W2122979731","https://openalex.org/W2101928763","https://openalex.org/W1546719346","https://openalex.org/W2367878015","https://openalex.org/W1562132886","https://openalex.org/W1663927073"],"abstract_inverted_index":{"Impulse":[0],"noises":[1,61,94],"generated":[2],"by":[3],"domestic":[4],"electrical":[5],"and":[6],"electronic":[7],"appliances":[8],"impact":[9],"the":[10,22,80,86,92],"performance":[11],"of":[12,24,26,59,78,82,88,91,110],"indoor":[13],"Power":[14,39],"Line":[15],"Communication":[16],"(PLC)":[17],"systems":[18],"severely.":[19],"To":[20],"understand":[21],"nature":[23],"complexity":[25,58],"these":[27],"noises,":[28],"especially":[29],"in":[30,46,62,69,85,105,118],"frequency":[31,63],"domain,":[32],"we":[33,49],"need":[34],"to":[35],"look":[36],"beyond":[37],"average":[38],"Spectral":[40,74],"Density":[41],"(PSD)":[42],"based":[43,54,100],"attributes.":[44],"Hence,":[45],"this":[47,70],"paper":[48,71],"have":[50],"proposed":[51],"spectral":[52,89,98],"entropy":[53,99],"analysis":[55],"for":[56],"quantifying":[57,79],"impulse":[60,93,111],"domain.":[64],"It":[65],"has":[66],"been":[67],"demonstrated":[68],"that":[72],"Shannon":[73],"Entropy":[75],"is":[76],"capable":[77],"degree":[81],"regularity":[83],"present":[84],"distribution":[87],"components":[90],"under":[95],"observation.":[96],"Thus,":[97],"features":[101],"may":[102],"contribute":[103],"significantly":[104],"reliable":[106],"diagnostics":[107],"or":[108],"identification":[109],"noise":[112],"sources":[113],"which":[114],"are":[115],"primary":[116],"disturbers":[117],"PLC":[119],"systems.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
