{"id":"https://openalex.org/W2891083648","doi":"https://doi.org/10.1109/icassp.2018.8462220","title":"Design of Optimal Entropy-Constrained Unrestricted Polar Quantizer for Bivariate Circularly Symmetric Sources","display_name":"Design of Optimal Entropy-Constrained Unrestricted Polar Quantizer for Bivariate Circularly Symmetric Sources","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2891083648","doi":"https://doi.org/10.1109/icassp.2018.8462220","mag":"2891083648"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":0.1045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44774811,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4604","last_page":"4608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9977999925613403,"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":0.9977999925613403,"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":0.9873999953269958,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9843000173568726,"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/bivariate-analysis","display_name":"Bivariate analysis","score":0.6349654197692871},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6031644344329834},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5681266188621521},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5193197131156921},{"id":"https://openalex.org/keywords/cross-entropy-method","display_name":"Cross-entropy method","score":0.5192237496376038},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4558202028274536},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4448170065879822},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4346848726272583},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4164605438709259},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39873769879341125},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.344719797372818},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11736389994621277},{"id":"https://openalex.org/keywords/quadratic-assignment-problem","display_name":"Quadratic assignment problem","score":0.09820044040679932},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07921454310417175}],"concepts":[{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.6349654197692871},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6031644344329834},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5681266188621521},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5193197131156921},{"id":"https://openalex.org/C75782508","wikidata":"https://www.wikidata.org/wiki/Q3333633","display_name":"Cross-entropy method","level":4,"score":0.5192237496376038},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4558202028274536},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4448170065879822},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4346848726272583},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4164605438709259},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39873769879341125},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.344719797372818},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11736389994621277},{"id":"https://openalex.org/C98036226","wikidata":"https://www.wikidata.org/wiki/Q7268356","display_name":"Quadratic assignment problem","level":3,"score":0.09820044040679932},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07921454310417175},{"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/icassp.2018.8462220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":20,"referenced_works":["https://openalex.org/W1534416612","https://openalex.org/W1542056213","https://openalex.org/W2021995874","https://openalex.org/W2024353273","https://openalex.org/W2048043252","https://openalex.org/W2056278643","https://openalex.org/W2056651359","https://openalex.org/W2069277547","https://openalex.org/W2114386512","https://openalex.org/W2118727736","https://openalex.org/W2123961893","https://openalex.org/W2125808188","https://openalex.org/W2143976439","https://openalex.org/W2164886257","https://openalex.org/W2169288303","https://openalex.org/W2174487222","https://openalex.org/W2243644693","https://openalex.org/W2541358587","https://openalex.org/W2784065132","https://openalex.org/W2785442021"],"related_works":["https://openalex.org/W1721599012","https://openalex.org/W2901858382","https://openalex.org/W4384273653","https://openalex.org/W2350826920","https://openalex.org/W2474680198","https://openalex.org/W2054925885","https://openalex.org/W2049828308","https://openalex.org/W4255006213","https://openalex.org/W1998683226","https://openalex.org/W2597689725"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"algorithm":[4,20,79],"for":[5,14,24,115],"the":[6,25,44,51,56,63,82,95,98,107,110,116],"design":[7],"of":[8,27,46,50,97,100,109,112],"entropy-constrained":[9],"unrestricted":[10],"polar":[11],"quantizer":[12,31],"(ECUPQ)":[13],"bivariate":[15],"circularly":[16],"symmetric":[17],"sources.":[18],"The":[19,38,77],"is":[21,41,59,94,106],"globally":[22],"optimal":[23],"class":[26],"ECUPQs":[28],"with":[29],"magnitude":[30,102],"thresholds":[32,103],"confined":[33],"to":[34],"a":[35,47,66,71],"finite":[36],"set.":[37],"optimization":[39],"problem":[40,64,69,84],"formulated":[42],"as":[43,65],"minimization":[45],"weighted":[48,73],"sum":[49],"distortion":[52],"and":[53,55,104],"entropy":[54],"proposed":[57,78],"solution":[58],"based":[60],"on":[61],"modeling":[62],"minimum-weight":[67],"path":[68],"in":[70,85],"certain":[72],"directed":[74],"acyclic":[75],"graph.":[76],"enables":[80],"solving":[81],"overall":[83],"O(K":[86],"<sup":[87],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[88],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[89],"log|P\u0302|)":[90],"time,":[91],"where":[92],"K":[93],"size":[96],"set":[99,108],"possible":[101],"P\u0302":[105],"number":[111],"phase":[113,118],"levels":[114],"uniform":[117],"quantizers.":[119]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
