{"id":"https://openalex.org/W2912928774","doi":"https://doi.org/10.1109/tcomm.2019.2894808","title":"Design of Successively Refinable Unrestricted Polar Quantizer","display_name":"Design of Successively Refinable Unrestricted Polar Quantizer","publication_year":2019,"publication_date":"2019-01-24","ids":{"openalex":"https://openalex.org/W2912928774","doi":"https://doi.org/10.1109/tcomm.2019.2894808","mag":"2912928774"},"language":"en","primary_location":{"id":"doi:10.1109/tcomm.2019.2894808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2019.2894808","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Communications","raw_type":"journal-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, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, 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, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, 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":0.3037,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58234298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"67","issue":"5","first_page":"3525","last_page":"3539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T12287","display_name":"Fibroblast Growth Factor Research","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9735999703407288,"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/algorithm","display_name":"Algorithm","score":0.47022104263305664},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4646197557449341},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4056154489517212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40398356318473816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39984139800071716},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.39059004187583923},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11398756504058838}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47022104263305664},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4646197557449341},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4056154489517212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40398356318473816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39984139800071716},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.39059004187583923},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11398756504058838},{"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/tcomm.2019.2894808","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2019.2894808","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1534416612","https://openalex.org/W1542056213","https://openalex.org/W1555141024","https://openalex.org/W1988223305","https://openalex.org/W1996296167","https://openalex.org/W2005773920","https://openalex.org/W2016811184","https://openalex.org/W2032107356","https://openalex.org/W2048043252","https://openalex.org/W2069277547","https://openalex.org/W2087951044","https://openalex.org/W2095529104","https://openalex.org/W2099563019","https://openalex.org/W2105458152","https://openalex.org/W2106830833","https://openalex.org/W2109808436","https://openalex.org/W2114386512","https://openalex.org/W2117594482","https://openalex.org/W2118217749","https://openalex.org/W2123961893","https://openalex.org/W2125808188","https://openalex.org/W2131112565","https://openalex.org/W2131578006","https://openalex.org/W2134490829","https://openalex.org/W2134697899","https://openalex.org/W2137443926","https://openalex.org/W2140942991","https://openalex.org/W2143976439","https://openalex.org/W2151252184","https://openalex.org/W2158643165","https://openalex.org/W2164886257","https://openalex.org/W2169288303","https://openalex.org/W2174487222","https://openalex.org/W2541358587","https://openalex.org/W2743689593","https://openalex.org/W2784065132","https://openalex.org/W2794968288","https://openalex.org/W2897411673","https://openalex.org/W2962915224","https://openalex.org/W2963522419","https://openalex.org/W6676146044"],"related_works":["https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W4245490552","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W1587224694","https://openalex.org/W2042127053","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,18,30,33,42,50,60,106,109,116,135,145,152,174,202,207,213,216,221,238,241],"design":[4],"of":[5,32,41,56,108,111,115,137,144,161,204,206,218,220,240],"two-stage":[6],"successively":[7],"refinable":[8],"unrestricted":[9,120],"polar":[10,121],"quantizers":[11,35,122],"for":[12,49,64,151,165],"bivariate":[13,232],"circularly":[14,233],"symmetric":[15,234],"sources":[16],"in":[17,68,140,173],"entropy-constrained":[19,51],"and":[20,100,118,210,223],"fixed-rate":[21,153,175],"cases.":[22],"The":[23,46,74,148,170,226],"proposed":[24,242],"solutions":[25],"are":[26,36,105],"globally":[27],"optimal":[28],"when":[29],"thresholds":[31,114],"magnitude":[34,113],"confined":[37],"to":[38,178],"finite":[39],"discretizations":[40],"interval":[43],"[0,":[44],"\u221e).":[45],"algorithm":[47,150],"developed":[48],"case":[52,154,176],"involves":[53],"a":[54,159,231],"series":[55],"stages,":[57],"including":[58],"solving":[59,158],"minimum-weight":[61],"path":[62],"problem":[63],"multiple":[65,166],"node":[66],"pairs":[67],"certain":[69],"weighted":[70],"directed":[71],"acyclic":[72],"graphs.":[73],"asymptotical":[75],"time":[76,171],"complexity":[77,172],"is":[78,130,155,201,212],"O(K":[79,179],"<sub":[80,84,91,97,102,127,180,184,192,198],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[81,85,88,92,98,103,128,181,185,189,193,199],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[82,99,182,194,200],"K":[83,96,101,183],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[86,104,186],"<sup":[87,188],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[89,190],"P":[90,126],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">max</sub>":[93,129],"),":[94,195],"where":[95,196],"sizes":[107],"sets":[110],"possible":[112],"coarse":[117,146,167,208,224],"refined":[119],"(UPQs),":[123],"respectively,":[124],"while":[125],"an":[131],"upper":[132],"bound":[133],"on":[134,157,230],"number":[136,203,217],"phase":[138,142],"levels":[139],"any":[141],"quantizer":[143,168],"UPQ.":[147],"solution":[149],"based":[156],"succession":[160],"dynamic":[162],"programming":[163],"problems":[164],"bins.":[169],"amounts":[177],"N":[187,191,197,211],"cells":[205],"UPQ":[209],"ratio":[214],"between":[215],"bins":[219],"fine":[222],"UPQs.":[225],"extensive":[227],"experimental":[228],"results":[229],"Gaussian":[235],"source":[236],"show":[237],"effectiveness":[239],"schemes.":[243]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
