乐胖代购免代理版

{"id":"https://openalex.org/W2086401376","doi":"https://doi.org/10.1109/tsp.2009.2021633","title":"MDL Denoising Revisited","display_name":"MDL Denoising Revisited","publication_year":2009,"publication_date":"2009-04-24","ids":{"openalex":"https://openalex.org/W2086401376","doi":"https://doi.org/10.1109/tsp.2009.2021633","mag":"2086401376"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2009.2021633","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/cs/0609138","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066842476","display_name":"Teemu Roos","orcid":"https://orcid.org/0000-0001-9470-3759"},"institutions":[{"id":"https://openalex.org/I32943570","display_name":"Helsinki Institute for Information Technology","ror":"https://ror.org/05kph4940","country_code":"FI","type":"facility","lineage":["https://openalex.org/I133731052","https://openalex.org/I32943570","https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"T. Roos","raw_affiliation_strings":["Complex Syst. Comput. Group, Helsinki Inst. for Inf. Technol. (HUT), Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"Complex Syst. Comput. Group, Helsinki Inst. for Inf. Technol. (HUT), Helsinki, Finland","institution_ids":["https://openalex.org/I32943570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069221880","display_name":"Petri Myllym\u00e4ki","orcid":"https://orcid.org/0000-0001-9095-282X"},"institutions":[{"id":"https://openalex.org/I32943570","display_name":"Helsinki Institute for Information Technology","ror":"https://ror.org/05kph4940","country_code":"FI","type":"facility","lineage":["https://openalex.org/I133731052","https://openalex.org/I32943570","https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"P. Myllymaki","raw_affiliation_strings":["Complex Syst. Comput. Group, Helsinki Inst. for Inf. Technol. (HUT), Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"Complex Syst. Comput. Group, Helsinki Inst. for Inf. Technol. (HUT), Helsinki, Finland","institution_ids":["https://openalex.org/I32943570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109212464","display_name":"J. Rissanen","orcid":null},"institutions":[{"id":"https://openalex.org/I32943570","display_name":"Helsinki Institute for Information Technology","ror":"https://ror.org/05kph4940","country_code":"FI","type":"facility","lineage":["https://openalex.org/I133731052","https://openalex.org/I32943570","https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"J. Rissanen","raw_affiliation_strings":["Complex Syst. Comput. Group, Helsinki Inst. for Inf. Technol. (HUT), Helsinki, Finland"],"affiliations":[{"raw_affiliation_string":"Complex Syst. Comput. Group, Helsinki Inst. for Inf. Technol. (HUT), Helsinki, Finland","institution_ids":["https://openalex.org/I32943570"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.409,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":41,"citation_normalized_percentile":{"value":0.934265,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":94},"biblio":{"volume":"57","issue":"9","first_page":"3347","last_page":"3360"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"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":1.0,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9989,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9957,"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/robustness","display_name":"Robustness","score":0.54261786},{"id":"https://openalex.org/keywords/step-detection","display_name":"Step detection","score":0.4402204},{"id":"https://openalex.org/keywords/minimum-description-length","display_name":"Minimum description length","score":0.42379892}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7474588},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.60906553},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.55165225},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5513107},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.54261786},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.51418424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48462614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48344502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45037308},{"id":"https://openalex.org/C293773","wikidata":"https://www.wikidata.org/wiki/Q7608015","display_name":"Step detection","level":3,"score":0.4402204},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4368726},{"id":"https://openalex.org/C87465248","wikidata":"https://www.wikidata.org/wiki/Q1417790","display_name":"Minimum description length","level":2,"score":0.42379892},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4205789},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2009.2021633","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"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":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/cs/0609138","pdf_url":"https://arxiv.org/pdf/cs/0609138","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/cs/0609138","pdf_url":"http://arxiv.org/pdf/cs/0609138","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":null,"pdf_url":"http://arxiv.org/pdf/cs/0609138v1.pdf","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.cs/0609138","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/cs/0609138","pdf_url":"https://arxiv.org/pdf/cs/0609138","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":["https://openalex.org/W2086401376"],"referenced_works_count":57,"referenced_works":["https://openalex.org/W119731946","https://openalex.org/W1585280831","https://openalex.org/W1591317578","https://openalex.org/W171292237","https://openalex.org/W18046889","https://openalex.org/W1905916335","https://openalex.org/W1993357058","https://openalex.org/W1996624683","https://openalex.org/W1999228575","https://openalex.org/W1999974018","https://openalex.org/W2000611246","https://openalex.org/W2031117787","https://openalex.org/W2034230784","https://openalex.org/W2053807426","https://openalex.org/W2054658115","https://openalex.org/W2061052441","https://openalex.org/W2062024414","https://openalex.org/W2062346812","https://openalex.org/W2068782468","https://openalex.org/W2079724595","https://openalex.org/W2081505213","https://openalex.org/W2096114449","https://openalex.org/W2101460669","https://openalex.org/W2104359186","https://openalex.org/W2113945798","https://openalex.org/W2115755118","https://openalex.org/W2115969242","https://openalex.org/W2119938170","https://openalex.org/W2122056749","https://openalex.org/W2124335859","https://openalex.org/W2125527601","https://openalex.org/W2132984323","https://openalex.org/W2136064961","https://openalex.org/W2137733585","https://openalex.org/W2138200515","https://openalex.org/W2140667604","https://openalex.org/W2142743431","https://openalex.org/W2146378993","https://openalex.org/W2158940042","https://openalex.org/W2163294786","https://openalex.org/W2163880391","https://openalex.org/W2166087152","https://openalex.org/W2168175751","https://openalex.org/W2171936066","https://openalex.org/W2296087697","https://openalex.org/W2492794003","https://openalex.org/W2591589908","https://openalex.org/W2949276475","https://openalex.org/W3123545922","https://openalex.org/W32508012","https://openalex.org/W4214806317","https://openalex.org/W4239353198","https://openalex.org/W4255272544","https://openalex.org/W4255521522","https://openalex.org/W4285719527","https://openalex.org/W4299562649","https://openalex.org/W84634704"],"related_works":["https://openalex.org/W4362581794","https://openalex.org/W3196104895","https://openalex.org/W3083008816","https://openalex.org/W2536049644","https://openalex.org/W2387796150","https://openalex.org/W2360664695","https://openalex.org/W2348643679","https://openalex.org/W2139368882","https://openalex.org/W2133587243","https://openalex.org/W1585675989"],"abstract_inverted_index":{"We":[0,12,81],"refine":[1],"and":[2,37,53,97,103],"extend":[3],"an":[4],"earlier":[5],"MDL":[6],"denoising":[7,18,100],"criterion":[8],"for":[9,35,49,61],"wavelet-based":[10],"denoising.":[11],"start":[13],"by":[14,74],"showing":[15],"that":[16],"the":[17,28,50,55],"problem":[19],"can":[20],"be":[21],"reformulated":[22],"as":[23],"a":[24,47,83],"clustering":[25],"problem,":[26],"where":[27],"goal":[29],"is":[30,68,91],"to":[31,59,93],"obtain":[32],"separate":[33],"clusters":[34],"informative":[36],"non-informative":[38],"wavelet":[39],"coefficients,":[40],"respectively.":[41],"This":[42],"suggests":[43],"two":[44],"refinements,":[45,89],"adding":[46],"code-length":[48],"model":[51,56],"index,":[52],"extending":[54],"in":[57,99],"order":[58],"account":[60],"subband-dependent":[62],"coefficient":[63],"distributions.":[64],"A":[65],"third":[66],"refinement":[67],"derivation":[69],"of":[70],"soft":[71],"thresholding":[72],"inspired":[73],"predictive":[75],"universal":[76],"coding":[77],"with":[78],"weighted":[79],"mixtures.":[80],"propose":[82],"practical":[84],"method":[85],"incorporating":[86],"all":[87],"three":[88],"which":[90],"shown":[92],"achieve":[94],"good":[95],"performance":[96],"robustness":[98],"both":[101],"artificial":[102],"natural":[104],"signals.":[105]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2086401376","counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2025-01-16T10:26:14.738971","created_date":"2016-06-24"}