{"id":"https://openalex.org/W4386431944","doi":"https://doi.org/10.1109/access.2023.3311471","title":"Low False Alarm and Narrow-Wide Band Compatible Signal Detection Algorithm Combining the Multiscale Wavelet Transform Extremum Detection With the Spectrum Energy Detection","display_name":"Low False Alarm and Narrow-Wide Band Compatible Signal Detection Algorithm Combining the Multiscale Wavelet Transform Extremum Detection With the Spectrum Energy Detection","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386431944","doi":"https://doi.org/10.1109/access.2023.3311471"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3311471","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3311471","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10238706.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10238706.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066407346","display_name":"Weiying Huang","orcid":"https://orcid.org/0000-0002-3110-764X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiying Huang","raw_affiliation_strings":["10th Research Institute of CETC, Chengdu, China","The 10th Research Institute of CETC, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"10th Research Institute of CETC, Chengdu, China","institution_ids":[]},{"raw_affiliation_string":"The 10th Research Institute of CETC, Chengdu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339141","display_name":"Ren Wang","orcid":"https://orcid.org/0000-0003-0529-9913"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ren Wang","raw_affiliation_strings":["Institute of Applied Physics, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-0529-9913","affiliations":[{"raw_affiliation_string":"Institute of Applied Physics, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3191,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5689328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"98039","last_page":"98049"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9986000061035156,"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":0.9986000061035156,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/false-alarm","display_name":"False alarm","score":0.6399797797203064},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.6003748178482056},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5652755498886108},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.563217282295227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5578641295433044},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5087750554084778},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5004894733428955},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4249441921710968},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40124714374542236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35397058725357056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27721917629241943},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1529119312763214},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.13648629188537598},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11963990330696106}],"concepts":[{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.6399797797203064},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.6003748178482056},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5652755498886108},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.563217282295227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5578641295433044},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5087750554084778},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5004894733428955},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4249441921710968},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40124714374542236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35397058725357056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27721917629241943},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1529119312763214},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.13648629188537598},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11963990330696106}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3311471","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3311471","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10238706.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2035d229cb5a4f30b891a7206174e2fd","is_oa":true,"landing_page_url":"https://doaj.org/article/2035d229cb5a4f30b891a7206174e2fd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 98039-98049 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3311471","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3311471","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10238706.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G3763618987","display_name":null,"funder_award_id":"2022NSFSC0039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6031697184","display_name":null,"funder_award_id":"2022NSFSC0039","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G7664489656","display_name":null,"funder_award_id":"62171081","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8011842648","display_name":null,"funder_award_id":"61901086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386431944.pdf","grobid_xml":"https://content.openalex.org/works/W4386431944.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1547683389","https://openalex.org/W1993513913","https://openalex.org/W2036678089","https://openalex.org/W2054019480","https://openalex.org/W2069870643","https://openalex.org/W2135054531","https://openalex.org/W2136782455","https://openalex.org/W2152328854","https://openalex.org/W2152349764","https://openalex.org/W2165858180","https://openalex.org/W2249359021","https://openalex.org/W2270233494","https://openalex.org/W2466322703","https://openalex.org/W2544578121","https://openalex.org/W2587442671","https://openalex.org/W2588411362","https://openalex.org/W2669298917","https://openalex.org/W2775347070","https://openalex.org/W2784329950","https://openalex.org/W2790289586","https://openalex.org/W2791002317","https://openalex.org/W2793843625","https://openalex.org/W2798574788","https://openalex.org/W2802129060","https://openalex.org/W2912120729","https://openalex.org/W2912249918","https://openalex.org/W2950473406","https://openalex.org/W2972669094","https://openalex.org/W3001474762","https://openalex.org/W3002917113","https://openalex.org/W3035079737","https://openalex.org/W3049059094","https://openalex.org/W3099983193","https://openalex.org/W3103394902","https://openalex.org/W3112585751","https://openalex.org/W3128023179","https://openalex.org/W3177111766","https://openalex.org/W3208067304","https://openalex.org/W3212602023","https://openalex.org/W4214540058","https://openalex.org/W4220958040","https://openalex.org/W4220972724","https://openalex.org/W4285025482","https://openalex.org/W4285065952","https://openalex.org/W4286579691","https://openalex.org/W4362480373","https://openalex.org/W4367665646"],"related_works":["https://openalex.org/W1983393909","https://openalex.org/W2077021924","https://openalex.org/W2040150569","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W1911540634","https://openalex.org/W2013909972","https://openalex.org/W2887658601","https://openalex.org/W2358318175","https://openalex.org/W4361216139"],"abstract_inverted_index":{"A":[0],"low":[1,126],"false":[2],"alarm":[3],"and":[4,70,75,101],"narrow-wide":[5,117],"band":[6,118],"compatible":[7,119],"signal":[8],"detection":[9,20,38,45,53,58,94,120],"algorithm":[10,111],"is":[11,112],"proposed":[12,110],"by":[13,68,80],"combining":[14,48],"the":[15,22,44,49,55,61,71,85,88,93,109],"multiscale":[16],"wavelet":[17,35,50],"transform":[18,51],"extremum":[19,52],"with":[21,28,54],"spectrum":[23,56,76],"energy":[24,57],"detection.":[25],"The":[26,104],"signals":[27,66],"different":[29],"bandwidths":[30],"are":[31,78,99],"detected":[32],"at":[33,39,96],"respective":[34],"scales.":[36],"Signal":[37],"a":[40,124],"single":[41],"scale":[42],"adopts":[43],"strategy":[46],"of":[47,63,87,128],"to":[59,83,114],"decrease":[60],"probability":[62,127],"detecting":[64,129],"spurious":[65,130],"caused":[67],"noises,":[69],"noise":[72,89],"floor":[73,90],"estimation":[74],"modification":[77],"completed":[79],"morphological":[81],"filtering":[82],"solve":[84],"problem":[86],"fluctuation.":[91],"Finally,":[92],"results":[95,106],"multiple":[97],"scales":[98],"fused":[100],"eliminated":[102],"selectively.":[103],"simulation":[105],"show":[107],"that":[108],"able":[113],"achieve":[115],"excellent":[116],"performance":[121],"while":[122],"realizing":[123],"relatively":[125],"signals.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
