{"id":"https://openalex.org/W2785442021","doi":"https://doi.org/10.1109/itw.2017.8277952","title":"Design of optimal entropy-constrained scalar quantizer for sequential coding of correlated sources","display_name":"Design of optimal entropy-constrained scalar quantizer for sequential coding of correlated sources","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2785442021","doi":"https://doi.org/10.1109/itw.2017.8277952","mag":"2785442021"},"language":"en","primary_location":{"id":"doi:10.1109/itw.2017.8277952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2017.8277952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Information Theory Workshop (ITW)","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/A5005409439","display_name":"Huihui Wu","orcid":"https://orcid.org/0000-0002-1097-3792"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Huihui Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, McMaster University, Hamilton, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070675586","display_name":"Sorina Dumitrescu","orcid":"https://orcid.org/0000-0001-7287-0310"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sorina Dumitrescu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, McMaster University, Hamilton, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, McMaster University, Hamilton, Canada","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005409439"],"corresponding_institution_ids":["https://openalex.org/I98251732"],"apc_list":null,"apc_paid":null,"fwci":0.5851,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77106956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"524","last_page":"528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9965999722480774,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/alphabet","display_name":"Alphabet","score":0.547692060470581},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.505936324596405},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4799935519695282},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47440004348754883},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.44366586208343506},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4409253001213074},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4259825050830841},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.36889269948005676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35817524790763855},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.35483142733573914},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14221015572547913},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10057669878005981},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.06726643443107605}],"concepts":[{"id":"https://openalex.org/C112876837","wikidata":"https://www.wikidata.org/wiki/Q837518","display_name":"Alphabet","level":2,"score":0.547692060470581},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.505936324596405},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4799935519695282},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47440004348754883},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.44366586208343506},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4409253001213074},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4259825050830841},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.36889269948005676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35817524790763855},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.35483142733573914},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14221015572547913},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10057669878005981},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.06726643443107605},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/itw.2017.8277952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2017.8277952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2021995874","https://openalex.org/W2079232128","https://openalex.org/W2102753806","https://openalex.org/W2103422876","https://openalex.org/W2125808188","https://openalex.org/W2131578006","https://openalex.org/W2140942991","https://openalex.org/W2149567218","https://openalex.org/W2150020269","https://openalex.org/W2150593711","https://openalex.org/W2152268723","https://openalex.org/W2158643165","https://openalex.org/W2243644693","https://openalex.org/W2541358587","https://openalex.org/W4291236916"],"related_works":["https://openalex.org/W4245395944","https://openalex.org/W2143551613","https://openalex.org/W2138823233","https://openalex.org/W1979740464","https://openalex.org/W2143345456","https://openalex.org/W1789991335","https://openalex.org/W2562731034","https://openalex.org/W4315705795","https://openalex.org/W2101053337","https://openalex.org/W2163885456"],"abstract_inverted_index":{"This":[0],"work":[1],"addresses":[2],"the":[3,44,90,94],"design":[4],"of":[5,34,52,93],"a":[6,25,31,50],"sequential":[7],"code":[8],"for":[9],"correlated":[10],"sources":[11,22],"using":[12],"entropy-constrained":[13],"scalar":[14],"quantization":[15],"at":[16],"each":[17],"encoder.":[18],"We":[19],"consider":[20],"discrete":[21],"and":[23,36,84],"propose":[24],"globally":[26],"optimal":[27],"algorithm":[28,39],"to":[29],"minimize":[30],"weighted":[32,55],"sum":[33],"distortions":[35],"rates.":[37],"Our":[38],"is":[40,63],"based":[41],"on":[42],"solving":[43],"minimum":[45],"weight":[46],"path":[47],"problem":[48],"in":[49],"series":[51],"appropriately":[53],"constructed":[54],"directed":[56],"acyclic":[57],"graphs.":[58],"Its":[59],"asymptotical":[60],"time":[61],"complexity":[62],"O(N":[64],"<sup":[65,72],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[66,69,73,76,82,87],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[67,74],"<sub":[68,75,81,86],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[70,83],"N":[71,80,85],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[77,88],"),":[78],"where":[79],"denote":[89],"alphabet":[91],"sizes":[92],"two":[95],"sources,":[96],"respectively.":[97]},"counts_by_year":[{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
