{"id":"https://openalex.org/W4393380095","doi":"https://doi.org/10.1109/ieeeconf59524.2023.10476841","title":"Non-Subtractive Dither for Squared Error Linearization of Lloyd-Max Quantizers","display_name":"Non-Subtractive Dither for Squared Error Linearization of Lloyd-Max Quantizers","publication_year":2023,"publication_date":"2023-10-29","ids":{"openalex":"https://openalex.org/W4393380095","doi":"https://doi.org/10.1109/ieeeconf59524.2023.10476841"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf59524.2023.10476841","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59524.2023.10476841","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":0.2163,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51043627,"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":"1516","last_page":"1523"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.98580002784729,"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":0.9696000218391418,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dither","display_name":"Dither","score":0.9496300220489502},{"id":"https://openalex.org/keywords/linearization","display_name":"Linearization","score":0.7061322927474976},{"id":"https://openalex.org/keywords/subtractive-color","display_name":"Subtractive color","score":0.5925583839416504},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5652199983596802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.524488627910614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39510685205459595},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.36586901545524597},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35474342107772827},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.26191237568855286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2615496814250946},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21925082802772522},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.08482968807220459},{"id":"https://openalex.org/keywords/noise-shaping","display_name":"Noise shaping","score":0.08359462022781372},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.055622994899749756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.05241107940673828}],"concepts":[{"id":"https://openalex.org/C70451592","wikidata":"https://www.wikidata.org/wiki/Q376493","display_name":"Dither","level":3,"score":0.9496300220489502},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.7061322927474976},{"id":"https://openalex.org/C150799807","wikidata":"https://www.wikidata.org/wiki/Q374081","display_name":"Subtractive color","level":2,"score":0.5925583839416504},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5652199983596802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.524488627910614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39510685205459595},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.36586901545524597},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35474342107772827},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.26191237568855286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2615496814250946},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21925082802772522},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.08482968807220459},{"id":"https://openalex.org/C9083635","wikidata":"https://www.wikidata.org/wiki/Q2133535","display_name":"Noise shaping","level":2,"score":0.08359462022781372},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.055622994899749756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.05241107940673828},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf59524.2023.10476841","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59524.2023.10476841","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W25148897","https://openalex.org/W598545653","https://openalex.org/W1570112013","https://openalex.org/W1604591253","https://openalex.org/W1982697965","https://openalex.org/W1994781711","https://openalex.org/W2003158588","https://openalex.org/W2007169112","https://openalex.org/W2018585445","https://openalex.org/W2053919414","https://openalex.org/W2113158412","https://openalex.org/W2150593711","https://openalex.org/W2170746474","https://openalex.org/W2185780713","https://openalex.org/W2293423476","https://openalex.org/W4214816187","https://openalex.org/W4363620174","https://openalex.org/W6634152266","https://openalex.org/W6636123194"],"related_works":["https://openalex.org/W2418428616","https://openalex.org/W2375273197","https://openalex.org/W2503119535","https://openalex.org/W2515931684","https://openalex.org/W1561097362","https://openalex.org/W2543986011","https://openalex.org/W2378754589","https://openalex.org/W3134441632","https://openalex.org/W2053919414","https://openalex.org/W3148644222"],"abstract_inverted_index":{"An":[0],"adaptive":[1],"non-subtractive":[2],"dithering":[3],"technique":[4],"is":[5],"proposed":[6,159],"that":[7],"makes":[8],"the":[9,28,37,41,45,78,120,132,143,147,155,158,163,180,186],"mean":[10,80],"square":[11,81],"quantization":[12,42,137,187],"error":[13,29,82,138,166,182,188],"of":[14,23,31,40,55,83,93,100,127,146,157,168],"non-uniform":[15],"Lloyd-Max":[16,170],"quantizers":[17,86],"constant":[18],"over":[19,172],"a":[20,53,90,98,169,173],"given":[21],"range":[22,176],"input":[24,46,175],"values.":[25],"This":[26],"improves":[27],"performance":[30],"analog-to-digital":[32],"conversion":[33],"systems":[34],"by":[35,97],"decorrelating":[36],"second":[38,164],"moment":[39,139,167],"noise":[43],"with":[44],"signal.":[47],"To":[48],"do":[49],"this":[50,67,73,125],"we":[51,150],"create":[52],"set":[54],"analytical":[56],"conditions":[57],"which":[58],"any":[59],"candidate":[60],"dither":[61,85,94,160],"distribution":[62],"must":[63],"satisfy":[64],"to":[65,74,111,129],"achieve":[66],"desired":[68],"statistical":[69],"decorrelation.":[70],"We":[71,117],"use":[72],"derive":[75],"bounds":[76],"on":[77],"feasible":[79],"non-subtractively":[84],"and":[87,102,140],"solve":[88],"for":[89,124],"solution":[91],"class":[92,126],"distributions":[95,107,128],"defined":[96],"mixture":[99],"uniform":[101],"discrete":[103],"random":[104],"variables.":[105],"Such":[106],"are":[108],"particularly":[109],"easy":[110],"generate":[112],"in":[113,161],"real-world":[114],"hardware":[115],"implementations.":[116],"then":[118],"determine":[119],"analytically":[121],"optimal":[122],"parameters":[123],"simultaneously":[130],"minimize":[131],"average":[133],"absolute":[134],"first":[135,181],"conditional":[136,165],"thus":[141],"reduce":[142],"asymptotic":[144],"bias":[145],"quantizer.":[148],"Finally":[149],"present":[151],"numerical":[152],"results":[153],"verifying":[154],"efficacy":[156],"linearizing":[162],"quantizer":[171],"wide":[174],"while":[177],"also":[178],"reducing":[179],"moment,":[183],"thereby":[184],"improving":[185],"properties":[189],"significantly.":[190]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}