{"id":"https://openalex.org/W2725635657","doi":"https://doi.org/10.1109/iwssip.2017.7965614","title":"Evaluation of background noise for significance level identification","display_name":"Evaluation of background noise for significance level identification","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2725635657","doi":"https://doi.org/10.1109/iwssip.2017.7965614","mag":"2725635657"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip.2017.7965614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2017.7965614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","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/A5019780716","display_name":"Jitka Pom\u011bnkov\u00e1","orcid":"https://orcid.org/0000-0002-8060-0086"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Jitka Pomenkova","raw_affiliation_strings":["Dept. of Radio Electronics, Brno University of Technology, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Dept. of Radio Electronics, Brno University of Technology, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032888756","display_name":"Eva Klejmov\u00e1","orcid":null},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Eva Klejmova","raw_affiliation_strings":["Dept. of Radio Electronics, Brno University of Technology, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Dept. of Radio Electronics, Brno University of Technology, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111021526","display_name":"Tobi\u00e1\u0161 Malach","orcid":null},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Tobias Malach","raw_affiliation_strings":["Dept. of Radio Electronics, Brno University of Technology, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Dept. of Radio Electronics, Brno University of Technology, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019780716"],"corresponding_institution_ids":["https://openalex.org/I60587646"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06783682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.989300012588501,"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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.989300012588501,"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/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/noise","display_name":"Noise (video)","score":0.6971166133880615},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6776354908943176},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.563439667224884},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.5362303853034973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5035197138786316},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4822302758693695},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4732958674430847},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.43065422773361206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3918619751930237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3325715661048889},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29443860054016113},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08430308103561401}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6971166133880615},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6776354908943176},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.563439667224884},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.5362303853034973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5035197138786316},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4822302758693695},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4732958674430847},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.43065422773361206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3918619751930237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3325715661048889},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29443860054016113},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08430308103561401},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwssip.2017.7965614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwssip.2017.7965614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W118945080","https://openalex.org/W1586900266","https://openalex.org/W1605417594","https://openalex.org/W1987490270","https://openalex.org/W2026574307","https://openalex.org/W2034139177","https://openalex.org/W2040701422","https://openalex.org/W2109314113","https://openalex.org/W2123462010","https://openalex.org/W2171544957","https://openalex.org/W2321276736","https://openalex.org/W2749602982","https://openalex.org/W4292691288","https://openalex.org/W7037411764"],"related_works":["https://openalex.org/W1974392290","https://openalex.org/W1911817635","https://openalex.org/W2074565401","https://openalex.org/W2810224748","https://openalex.org/W2353656796","https://openalex.org/W2011915004","https://openalex.org/W2130974430","https://openalex.org/W3103566292","https://openalex.org/W1607924090","https://openalex.org/W1967187784"],"abstract_inverted_index":{"The":[0,18],"paper":[1,51],"deals":[2,52],"with":[3,53,87,97],"the":[4,7,12,16,28,40,42,54,57,60,90,98],"identification":[5],"of":[6,15,21,30,59,101],"significance":[8,23,86],"level":[9],"for":[10,82],"testing":[11,24,83],"time-frequency":[13,22,84],"transform":[14,85],"data.":[17],"usual":[19],"procedure":[20],"is":[25,62],"based":[26],"on":[27],"knowledge":[29],"background":[31,43],"spectrum.":[32],"Very":[33],"often,":[34],"we":[35,73],"have":[36],"certain":[37],"expectations":[38],"about":[39],"character":[41,58],"noise":[44,61],"(White":[45],"noise,":[46,48],"Red":[47],"etc.).":[49],"Our":[50],"case":[55],"when":[56],"unknown":[63],"and":[64],"may":[65],"not":[66],"be":[67],"Gaussian":[68],"despite":[69],"our":[70,78,95],"assumptions.":[71],"Thus,":[72],"propose":[74],"how":[75],"to":[76,89],"identify":[77],"own":[79],"critical":[80,99],"values":[81],"respect":[88],"data":[91],"character.":[92],"We":[93],"compare":[94],"findings":[96],"quantile":[100],"\u03c7":[102],"<sup":[103],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[104,107],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[105],"<sub":[106],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[108],".":[109]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}