{"id":"https://openalex.org/W2621239834","doi":"https://doi.org/10.1109/mocast.2017.7937665","title":"Recursive odd-even sorter for vector quantizer","display_name":"Recursive odd-even sorter for vector quantizer","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2621239834","doi":"https://doi.org/10.1109/mocast.2017.7937665","mag":"2621239834"},"language":"en","primary_location":{"id":"doi:10.1109/mocast.2017.7937665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mocast.2017.7937665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 6th International Conference on Modern Circuits and Systems Technologies (MOCAST)","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/A5049985269","display_name":"Berkin Atila","orcid":null},"institutions":[{"id":"https://openalex.org/I96268669","display_name":"Okan University","ror":"https://ror.org/054d5vq03","country_code":"TR","type":"education","lineage":["https://openalex.org/I96268669"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Berkin Atila","raw_affiliation_strings":["College of Engineering, Okan University, Akfirat/Tuzla/Istanbul, TURKEY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Okan University, Akfirat/Tuzla/Istanbul, TURKEY","institution_ids":["https://openalex.org/I96268669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032867090","display_name":"Burak Kelleci","orcid":"https://orcid.org/0000-0002-0961-1153"},"institutions":[{"id":"https://openalex.org/I96268669","display_name":"Okan University","ror":"https://ror.org/054d5vq03","country_code":"TR","type":"education","lineage":["https://openalex.org/I96268669"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Burak Kelleci","raw_affiliation_strings":["College of Engineering, Okan University, Akfirat/Tuzla/Istanbul, TURKEY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Okan University, Akfirat/Tuzla/Istanbul, TURKEY","institution_ids":["https://openalex.org/I96268669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I96268669"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05479322,"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":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9975000023841858,"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":0.9975000023841858,"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":0.9876999855041504,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9782000184059143,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.8077435493469238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.752863883972168},{"id":"https://openalex.org/keywords/sorting-algorithm","display_name":"Sorting algorithm","score":0.718537449836731},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.6738107204437256},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6695483922958374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5645723342895508},{"id":"https://openalex.org/keywords/quicksort","display_name":"Quicksort","score":0.51201993227005},{"id":"https://openalex.org/keywords/transposition","display_name":"Transposition (logic)","score":0.5075792074203491},{"id":"https://openalex.org/keywords/parallel-algorithm","display_name":"Parallel algorithm","score":0.4159370958805084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08040976524353027}],"concepts":[{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.8077435493469238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.752863883972168},{"id":"https://openalex.org/C108094655","wikidata":"https://www.wikidata.org/wiki/Q181593","display_name":"Sorting algorithm","level":3,"score":0.718537449836731},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.6738107204437256},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6695483922958374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5645723342895508},{"id":"https://openalex.org/C2778937211","wikidata":"https://www.wikidata.org/wiki/Q486598","display_name":"Quicksort","level":4,"score":0.51201993227005},{"id":"https://openalex.org/C12455157","wikidata":"https://www.wikidata.org/wiki/Q7835331","display_name":"Transposition (logic)","level":2,"score":0.5075792074203491},{"id":"https://openalex.org/C120373497","wikidata":"https://www.wikidata.org/wiki/Q1087987","display_name":"Parallel algorithm","level":2,"score":0.4159370958805084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08040976524353027},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mocast.2017.7937665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mocast.2017.7937665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 6th International Conference on Modern Circuits and Systems Technologies (MOCAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6600000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1976284552","https://openalex.org/W1993449345","https://openalex.org/W2082357899","https://openalex.org/W2139451421","https://openalex.org/W2141389982","https://openalex.org/W4301627548"],"related_works":["https://openalex.org/W1772474011","https://openalex.org/W2389598404","https://openalex.org/W4320925713","https://openalex.org/W1493296159","https://openalex.org/W76067348","https://openalex.org/W2037221665","https://openalex.org/W2503958529","https://openalex.org/W2101564859","https://openalex.org/W2607162667","https://openalex.org/W2522913298"],"abstract_inverted_index":{"A":[0,37],"recursive,":[1],"odd-even":[2],"transposition":[3],"sorter":[4,143],"based":[5],"vector":[6,105],"quantizer":[7],"which":[8,48],"is":[9,15,44,81],"used":[10,39],"in":[11,112],"mismatch":[12],"shaping":[13],"algorithms":[14,21,102],"presented.":[16],"Although":[17],"recursive":[18,40,61],"parallel":[19,27,35,41],"sorting":[20,28,42,101],"require":[22],"less":[23,73,86],"area":[24,78,119,159],"than":[25,33,67,74,87,91,139,154,175],"fully":[26,34],"algorithms,":[29],"they":[30,107],"are":[31,108],"slower":[32,147,168],"algorithms.":[36],"widely":[38],"algorithm":[43,62,125],"the":[45,57,68,97,123,140,155,176],"perfect":[46,69,92,141,177],"shuffle":[47,54,70,93,142,178],"requires":[49],"multiple":[50],"clock":[51,65],"cycles":[52,66],"to":[53,71,84],"and":[55,110,118,144],"sort":[56,72,85],"data.":[58],"The":[59,158],"proposed":[60,83,124],"uses":[63],"fewer":[64,137,152,173],"80":[75],"inputs.":[76],"An":[77],"efficient":[79,160],"version":[80,161],"also":[82],"16":[88],"inputs":[89,128,164],"faster":[90,132],"algorithm.":[94],"To":[95],"compare":[96],"performance":[98],"of":[99],"various":[100],"suitable":[103],"for":[104],"quantizer,":[106],"realized":[109],"synthesized":[111],"TSMC":[113],"40nm":[114],"low-power":[115],"technology.":[116],"Speed":[117],"results":[120],"indicate":[121],"that":[122],"sorts":[126,162],"32":[127,163],"at":[129,165],"a":[130,145,166],"42%":[131],"rate":[133,148,169],"by":[134,149,170],"using":[135,150,171],"14%":[136],"components":[138,153,174],"80%":[146],"27%":[151],"Bitonic":[156],"sorter.":[157,179],"21%":[167],"32%":[172]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
