{"id":"https://openalex.org/W2144745775","doi":"https://doi.org/10.1109/isit.2010.5513338","title":"Universal lossless compression-based denoising","display_name":"Universal lossless compression-based denoising","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2144745775","doi":"https://doi.org/10.1109/isit.2010.5513338","mag":"2144745775"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2010.5513338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2010.5513338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Information Theory","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/A5070179875","display_name":"Han-I Su","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Han-I Su","raw_affiliation_strings":["Department of Electrical Engineering, University of Stanford, Stanford, CA, USA","[Department of Electrical Engineering, Stanford University, CA, 94305, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Stanford, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"[Department of Electrical Engineering, Stanford University, CA, 94305, USA]","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043344688","display_name":"Tsachy Weissman","orcid":"https://orcid.org/0009-0008-1099-691X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tsachy Weissman","raw_affiliation_strings":["Department of Electrical Engineering, University of Stanford, Stanford, CA, USA","[Department of Electrical Engineering, Stanford University, CA, 94305, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Stanford, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"[Department of Electrical Engineering, Stanford University, CA, 94305, USA]","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070179875"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19854753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1648","last_page":"1652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9991999864578247,"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":0.9990000128746033,"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/lossless-compression","display_name":"Lossless compression","score":0.7136117219924927},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5939301252365112},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5566330552101135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5553850531578064},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5435720086097717},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5426822304725647},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.5111039280891418},{"id":"https://openalex.org/keywords/conditional-entropy","display_name":"Conditional entropy","score":0.4943516254425049},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.47742804884910583},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4662071168422699},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4166170060634613},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3625029921531677},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3554639220237732},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2816409468650818},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.20899727940559387},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.17072999477386475}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7136117219924927},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5939301252365112},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5566330552101135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5553850531578064},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5435720086097717},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5426822304725647},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5111039280891418},{"id":"https://openalex.org/C101721835","wikidata":"https://www.wikidata.org/wiki/Q813908","display_name":"Conditional entropy","level":3,"score":0.4943516254425049},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.47742804884910583},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4662071168422699},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4166170060634613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3625029921531677},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3554639220237732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2816409468650818},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.20899727940559387},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.17072999477386475},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2010.5513338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2010.5513338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1510355813","https://openalex.org/W1660164274","https://openalex.org/W1666830255","https://openalex.org/W2050917990","https://openalex.org/W2058461093","https://openalex.org/W2087284982","https://openalex.org/W2105934661","https://openalex.org/W2111654901","https://openalex.org/W2122962290","https://openalex.org/W2126830763","https://openalex.org/W2146842127","https://openalex.org/W2163294786","https://openalex.org/W2169417103","https://openalex.org/W2180151937"],"related_works":["https://openalex.org/W2343819364","https://openalex.org/W2133205540","https://openalex.org/W2964314781","https://openalex.org/W3006565005","https://openalex.org/W4287868071","https://openalex.org/W4389708677","https://openalex.org/W2611832276","https://openalex.org/W2007093222","https://openalex.org/W69468016","https://openalex.org/W4321613659"],"abstract_inverted_index":{"In":[0],"a":[1,53],"discrete":[2],"denoising":[3],"problem,":[4],"if":[5,91],"the":[6,9,13,18,22,26,29,36,42,47,64,73,78,82,85,92,96,103],"denoiser":[7,16,80,98],"knows":[8],"clean":[10],"source":[11,27,37,74],"distribution,":[12],"Bayes":[14,19,43],"optimal":[15],"is":[17,39,76],"response":[20,44],"of":[21,25,84],"posterior":[23,49],"distribution":[24,38,50],"given":[28],"noisy":[30],"observations.":[31],"However,":[32],"in":[33],"many":[34],"applications":[35],"unknown.We":[40],"consider":[41],"based":[45],"on":[46],"approximate":[48],"induced":[51],"by":[52,59],"universal":[54],"lossless":[55],"compression":[56],"code.":[57],"Motivated":[58],"this":[60],"approach,":[61],"we":[62],"present":[63],"empirical":[65],"conditional":[66],"entropy-based":[67],"denoiser.":[68],"Simulations":[69],"show":[70],"that":[71],"when":[72],"alphabet":[75,93],"small,":[77],"proposed":[79,97],"achieves":[81],"performance":[83],"Universal":[86],"Discrete":[87],"DEnoiser":[88],"(DUDE).":[89],"Furthermore,":[90],"size":[94],"increases,":[95],"degrades":[99],"more":[100],"gracefully":[101],"than":[102],"DUDE.":[104]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
