{"id":"https://openalex.org/W2067871482","doi":"https://doi.org/10.1109/icassp.2014.6854403","title":"An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising","display_name":"An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2067871482","doi":"https://doi.org/10.1109/icassp.2014.6854403","mag":"2067871482"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5015494814","display_name":"Jishnu Sadasivan","orcid":"https://orcid.org/0000-0003-3990-8254"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jishnu Sadasivan","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","Department of Electrical Engineering/Indian Institute of Science/Bangalore 560012 INDIA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of Electrical Engineering/Indian Institute of Science/Bangalore 560012 INDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102928532","display_name":"Subhadip Mukherjee","orcid":"https://orcid.org/0000-0002-7957-8758"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subhadip Mukherjee","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","Department of Electrical Engineering/Indian Institute of Science/Bangalore 560012 INDIA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of Electrical Engineering/Indian Institute of Science/Bangalore 560012 INDIA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005652970","display_name":"Chandra Sekhar Seelamantula","orcid":"https://orcid.org/0000-0001-9049-1912"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandra Sekhar Seelamantula","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","Department of Electrical Engineering/Indian Institute of Science/Bangalore 560012 INDIA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Department of Electrical Engineering/Indian Institute of Science/Bangalore 560012 INDIA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015494814"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.9882,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80711566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4249","last_page":"4253"},"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7962605953216553},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7879952192306519},{"id":"https://openalex.org/keywords/steins-unbiased-risk-estimate","display_name":"Stein's unbiased risk estimate","score":0.6945208311080933},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.6686694025993347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6145977973937988},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6120212078094482},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.579512894153595},{"id":"https://openalex.org/keywords/shrinkage-estimator","display_name":"Shrinkage estimator","score":0.5743886828422546},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.5583992004394531},{"id":"https://openalex.org/keywords/bias-of-an-estimator","display_name":"Bias of an estimator","score":0.5282553434371948},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.48213812708854675},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4494169354438782},{"id":"https://openalex.org/keywords/shrinkage","display_name":"Shrinkage","score":0.4403952360153198},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4333879351615906},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.41335320472717285},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35784095525741577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29876625537872314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15550190210342407}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7962605953216553},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7879952192306519},{"id":"https://openalex.org/C134962040","wikidata":"https://www.wikidata.org/wiki/Q7606742","display_name":"Stein's unbiased risk estimate","level":5,"score":0.6945208311080933},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.6686694025993347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6145977973937988},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6120212078094482},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.579512894153595},{"id":"https://openalex.org/C102592046","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage estimator","level":5,"score":0.5743886828422546},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.5583992004394531},{"id":"https://openalex.org/C191393472","wikidata":"https://www.wikidata.org/wiki/Q15222032","display_name":"Bias of an estimator","level":4,"score":0.5282553434371948},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.48213812708854675},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4494169354438782},{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.4403952360153198},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4333879351615906},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.41335320472717285},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35784095525741577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29876625537872314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15550190210342407},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2014.6854403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:50610","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W152912987","https://openalex.org/W1525535255","https://openalex.org/W1965392255","https://openalex.org/W1973261402","https://openalex.org/W2007203285","https://openalex.org/W2025852341","https://openalex.org/W2032979218","https://openalex.org/W2054640142","https://openalex.org/W2056501810","https://openalex.org/W2060619704","https://openalex.org/W2079724595","https://openalex.org/W2100053953","https://openalex.org/W2113920645","https://openalex.org/W2115755118","https://openalex.org/W2140742952","https://openalex.org/W2154688547","https://openalex.org/W2405266196","https://openalex.org/W2574597717","https://openalex.org/W2963726588","https://openalex.org/W4255521522","https://openalex.org/W4302067267","https://openalex.org/W6606289374","https://openalex.org/W6732771902"],"related_works":["https://openalex.org/W2349547417","https://openalex.org/W2910434125","https://openalex.org/W2984458635","https://openalex.org/W4323352759","https://openalex.org/W2008532365","https://openalex.org/W2999701797","https://openalex.org/W4320482479","https://openalex.org/W1978485816","https://openalex.org/W2770583480","https://openalex.org/W4387582659"],"abstract_inverted_index":{"We":[0,24,51],"address":[1],"the":[2,12,17,30,33,42,62,66,70,86,98,102,110,123],"problem":[3],"of":[4,20,65,85,107,109,122],"designing":[5],"an":[6,26,82],"optimal":[7],"pointwise":[8],"shrinkage":[9],"estimator":[10,67,84,100,104],"in":[11,41,105],"transform":[13],"domain,":[14],"based":[15],"on":[16],"minimum":[18],"probability":[19],"error":[21,72],"(MPE)":[22],"criterion.":[23],"assume":[25],"additive":[27],"model":[28],"for":[29,113],"noise":[31,49,54],"corrupting":[32],"clean":[34],"signal.":[35],"The":[36,75],"proposed":[37],"formulation":[38],"is":[39,78],"general":[40],"sense":[43],"that":[44,97],"it":[45],"can":[46],"handle":[47],"various":[48,53],"distributions.":[50],"consider":[52],"distributions":[55],"(Gaussian,":[56],"Student's-t,":[57],"and":[58,60,117],"Laplacian)":[59],"compare":[61],"denoising":[63],"performance":[64],"obtained":[68],"with":[69],"mean-squared":[71],"(MSE)-based":[73],"estimators.":[74],"MSE":[76],"optimization":[77],"carried":[79],"out":[80],"using":[81],"unbiased":[83],"MSE,":[87],"namely":[88],"Stein's":[89],"Unbiased":[90],"Risk":[91],"Estimate":[92],"(SURE).":[93],"Experimental":[94],"results":[95],"show":[96],"MPE":[99],"outperforms":[101],"SURE":[103],"terms":[106],"SNR":[108],"denoised":[111],"output,":[112],"low":[114],"(0-10":[115],"dB)":[116,121],"medium":[118],"values":[119],"(10-20":[120],"input":[124],"SNR.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}