{"id":"https://openalex.org/W2168372668","doi":"https://doi.org/10.1109/iciinfs.2008.4798410","title":"Denoising of Biological Signals using a New Wavelet Shrinkage Method","display_name":"Denoising of Biological Signals using a New Wavelet Shrinkage Method","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2168372668","doi":"https://doi.org/10.1109/iciinfs.2008.4798410","mag":"2168372668"},"language":"en","primary_location":{"id":"doi:10.1109/iciinfs.2008.4798410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciinfs.2008.4798410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5076384144","display_name":"V. V. K. D. V. Prasad","orcid":"https://orcid.org/0000-0003-3206-2057"},"institutions":[{"id":"https://openalex.org/I179150554","display_name":"Guntur Medical College","ror":"https://ror.org/02evmt624","country_code":"IN","type":"education","lineage":["https://openalex.org/I179150554"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V.V.K.D.V. Prasad","raw_affiliation_strings":["Department of ECE, RVR and JC College of Engineering, Guntur, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, RVR and JC College of Engineering, Guntur, Andhra Pradesh, India","institution_ids":["https://openalex.org/I179150554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046886878","display_name":"P. Siddaiah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"P. Siddaiah","raw_affiliation_strings":["Department of ECE, KL College of Engineering, Vijayawada, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, KL College of Engineering, Vijayawada, Andhra Pradesh, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102147300","display_name":"B. Prabhakara Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I142809039","display_name":"Jawaharlal Nehru Technological University, Kakinada","ror":"https://ror.org/05s9t8c95","country_code":"IN","type":"education","lineage":["https://openalex.org/I142809039"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. Prabhakara Rao","raw_affiliation_strings":["Department of ECE, JNT University College of Engineering, Kakinada, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, JNT University College of Engineering, Kakinada, Andhra Pradesh, India","institution_ids":["https://openalex.org/I142809039"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5213,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64220232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9829000234603882,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9771000146865845,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/shrinkage","display_name":"Shrinkage","score":0.9406044483184814},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7957043647766113},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7705787420272827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5650451183319092},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5412909388542175},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5358114838600159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4956458806991577},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4919409453868866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45048192143440247},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4221368134021759},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07742586731910706}],"concepts":[{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.9406044483184814},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7957043647766113},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7705787420272827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5650451183319092},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5412909388542175},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5358114838600159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4956458806991577},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4919409453868866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45048192143440247},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4221368134021759},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07742586731910706},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/iciinfs.2008.4798410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciinfs.2008.4798410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1541794730","https://openalex.org/W1975694431","https://openalex.org/W1985190666","https://openalex.org/W2033484654","https://openalex.org/W2042944397","https://openalex.org/W2063344503","https://openalex.org/W2082076175","https://openalex.org/W2132984323","https://openalex.org/W2143304716","https://openalex.org/W2146842127","https://openalex.org/W2163761533","https://openalex.org/W4240337472","https://openalex.org/W6684111346"],"related_works":["https://openalex.org/W2391958761","https://openalex.org/W2765453142","https://openalex.org/W2356780078","https://openalex.org/W2356008845","https://openalex.org/W255134961","https://openalex.org/W2348314720","https://openalex.org/W2243547089","https://openalex.org/W2316482937","https://openalex.org/W2253986335","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Wavelet":[0],"shrinkage":[1,15,52,73],"methods":[2,53],"have":[3],"been":[4],"very":[5],"successful":[6],"in":[7,24],"denoising":[8,18],"of":[9,19,44,50],"biological":[10,20],"signals.":[11],"A":[12],"New":[13,46,65],"wavelet":[14],"method":[16,28,47,66],"for":[17],"signals":[21],"is":[22,29,67],"proposed":[23],"this":[25,45,64],"paper.":[26],"This":[27],"applied":[30],"to":[31,69],"denoise":[32],"ECG":[33],"signal":[34],"corrupted":[35],"with":[36,48],"additive":[37],"Gaussian":[38],"noise.":[39],"We":[40],"compared":[41],"the":[42],"performance":[43],"that":[49,63],"popular":[51],"based":[54],"on":[55],"hard":[56,70],"and":[57,71],"soft":[58,72],"filters.":[59],"Simulation":[60],"results":[61],"showed":[62],"superior":[68],"methods.":[74]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}