{"id":"https://openalex.org/W4393372451","doi":"https://doi.org/10.1109/ieeeconf59524.2023.10477055","title":"Optimizing Dither Distributions for Noisy Quantization Systems","display_name":"Optimizing Dither Distributions for Noisy Quantization Systems","publication_year":2023,"publication_date":"2023-10-29","ids":{"openalex":"https://openalex.org/W4393372451","doi":"https://doi.org/10.1109/ieeeconf59524.2023.10477055"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf59524.2023.10477055","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59524.2023.10477055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 57th Asilomar Conference on Signals, Systems, and Computers","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/A5035758879","display_name":"Morriel Kasher","orcid":"https://orcid.org/0000-0003-1630-9806"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Morriel Kasher","raw_affiliation_strings":["Rutgers University"],"affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032101324","display_name":"Michael Tinston","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165567","display_name":"Expedition Technology (United States)","ror":"https://ror.org/05va3v984","country_code":"US","type":"company","lineage":["https://openalex.org/I4210165567"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Tinston","raw_affiliation_strings":["Expedition Technology, Inc"],"affiliations":[{"raw_affiliation_string":"Expedition Technology, Inc","institution_ids":["https://openalex.org/I4210165567"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090245711","display_name":"Predrag Spasojevi\u0107","orcid":"https://orcid.org/0000-0002-4244-6698"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Predrag Spasojevic","raw_affiliation_strings":["Rutgers University"],"affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035758879"],"corresponding_institution_ids":["https://openalex.org/I4210096112"],"apc_list":null,"apc_paid":null,"fwci":0.1228,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47105915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"1524","last_page":"1527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.983299970626831,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.983299970626831,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.945900022983551,"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":0.9190999865531921,"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/dither","display_name":"Dither","score":0.9668717384338379},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7598952054977417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6121212840080261},{"id":"https://openalex.org/keywords/noise-shaping","display_name":"Noise shaping","score":0.3958204686641693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3781737983226776},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34281644225120544},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15588229894638062}],"concepts":[{"id":"https://openalex.org/C70451592","wikidata":"https://www.wikidata.org/wiki/Q376493","display_name":"Dither","level":3,"score":0.9668717384338379},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7598952054977417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6121212840080261},{"id":"https://openalex.org/C9083635","wikidata":"https://www.wikidata.org/wiki/Q2133535","display_name":"Noise shaping","level":2,"score":0.3958204686641693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3781737983226776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34281644225120544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15588229894638062}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf59524.2023.10477055","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59524.2023.10477055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 57th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3786306588","display_name":null,"funder_award_id":"N68335-21-C-0625","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W598545653","https://openalex.org/W1570112013","https://openalex.org/W1604591253","https://openalex.org/W2088909704","https://openalex.org/W2113158412","https://openalex.org/W2150593711","https://openalex.org/W2170746474","https://openalex.org/W2185780713","https://openalex.org/W4214816187","https://openalex.org/W6634152266","https://openalex.org/W6636123194"],"related_works":["https://openalex.org/W4210717739","https://openalex.org/W2000868246","https://openalex.org/W4288381191","https://openalex.org/W2933484786","https://openalex.org/W2098358062","https://openalex.org/W2111253223","https://openalex.org/W2626613090","https://openalex.org/W1486334132","https://openalex.org/W2094272778","https://openalex.org/W2067936044"],"abstract_inverted_index":{"We":[0,69],"consider":[1],"the":[2,10,15,24,38,47,50,60,96,103,116,122],"design":[3],"of":[4,12,17,46,62,80,95,121,163,174],"non-subtractive":[5],"dither":[6,25,53,74],"distributions":[7],"for":[8,168],"improving":[9],"performance":[11],"quantizers":[13,167],"in":[14,59,90,130,155],"presence":[16,61],"additive":[18],"white":[19],"Gaussian":[20,63,181],"noise.":[21,182],"By":[22],"formulating":[23],"optimization":[26],"as":[27],"a":[28,66,77,92],"maximum-likelihood":[29],"(ML)":[30],"deconvolution":[31,40],"problem,":[32],"we":[33],"are":[34],"able":[35],"to":[36,42,113,146],"apply":[37],"Lucy-Richardson":[39],"method":[41],"recover":[43],"an":[44],"estimate":[45],"optimal":[48],"(in":[49],"ML":[51],"sense)":[52],"distribution":[54,75,99],"which":[55,164,175],"should":[56],"be":[57],"used":[58],"noise":[64,82,104],"with":[65,102],"known":[67],"variance.":[68],"present":[70],"this":[71],"resultant":[72],"optimized":[73],"over":[76],"wide":[78],"range":[79],"quantizer":[81,133],"levels":[83],"and":[84,140,159,172],"show":[85],"that":[86],"it":[87],"consistently":[88],"succeeds":[89],"producing":[91],"close":[93],"approximation":[94],"desired":[97],"output":[98],"after":[100],"convolution":[101],"distribution.":[105],"This":[106,150],"is":[107],"then":[108],"proven":[109],"through":[110],"numerical":[111],"simulations":[112],"significantly":[114],"reduce":[115],"overall":[117],"mean":[118],"square":[119],"error":[120],"quantization":[123],"while":[124],"maintaining":[125],"comparable":[126],"or":[127],"better":[128],"results":[129],"other":[131],"critical":[132],"linearity":[134],"metrics":[135],"including":[136],"Total":[137],"Harmonic":[138],"Distortion":[139],"Spurious-Free":[141],"Dynamic":[142],"Range":[143],"(when":[144],"compared":[145],"traditional":[147],"unoptimized":[148],"dithering).":[149],"technique":[151],"has":[152],"wide-ranging":[153],"applications":[154],"communication,":[156],"audio":[157],"processing,":[158],"data":[160],"compression,":[161],"all":[162],"rely":[165],"on":[166],"their":[169],"analog-to-digital":[170],"conversion":[171],"each":[173],"typically":[176],"contain":[177],"some":[178],"implicit":[179],"system-level":[180]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
