{"id":"https://openalex.org/W1974878801","doi":"https://doi.org/10.1109/tit.1986.1057133","title":"Adaptive buffer- instrumented entropy-coded quantizer performance for memoryless sources","display_name":"Adaptive buffer- instrumented entropy-coded quantizer performance for memoryless sources","publication_year":1986,"publication_date":"1986-01-01","ids":{"openalex":"https://openalex.org/W1974878801","doi":"https://doi.org/10.1109/tit.1986.1057133","mag":"1974878801"},"language":"en","primary_location":{"id":"doi:10.1109/tit.1986.1057133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1986.1057133","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Information Theory","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/A5013765239","display_name":"N. Farvardin","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"N. Farvardin","raw_affiliation_strings":["Electrical Engineering Department, University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109079087","display_name":"J.W. Modestino","orcid":null},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Modestino","raw_affiliation_strings":["Electrical, Computer, and Systems Engineering Department, Rensselaer Polytechnic Institute, Troy, NY, USA","Electrical Computer and Systems Engineering Department, Rensselaer Polytechnic Institute, Troy, NY, USA"],"affiliations":[{"raw_affiliation_string":"Electrical, Computer, and Systems Engineering Department, Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Electrical Computer and Systems Engineering Department, Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013765239"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":1.824,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.85056818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"1","first_page":"9","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9873999953269958,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9787999987602234,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6118622422218323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5504539608955383},{"id":"https://openalex.org/keywords/buffer-overflow","display_name":"Buffer overflow","score":0.5493995547294617},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.5366043448448181},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5336713790893555},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.5207419395446777},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.493731826543808},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.45312902331352234},{"id":"https://openalex.org/keywords/channel-code","display_name":"Channel code","score":0.43335843086242676},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40849635004997253},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.376785010099411},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.35955697298049927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31983381509780884},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.17405930161476135},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15902435779571533}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6118622422218323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5504539608955383},{"id":"https://openalex.org/C40842320","wikidata":"https://www.wikidata.org/wiki/Q19423","display_name":"Buffer overflow","level":2,"score":0.5493995547294617},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.5366043448448181},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5336713790893555},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.5207419395446777},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.493731826543808},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.45312902331352234},{"id":"https://openalex.org/C166366890","wikidata":"https://www.wikidata.org/wiki/Q602136","display_name":"Channel code","level":3,"score":0.43335843086242676},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40849635004997253},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.376785010099411},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.35955697298049927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31983381509780884},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.17405930161476135},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15902435779571533},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.1986.1057133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1986.1057133","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1534416612","https://openalex.org/W1988065917","https://openalex.org/W1989008275","https://openalex.org/W2013094118","https://openalex.org/W2024470753","https://openalex.org/W2042927721","https://openalex.org/W2052719616","https://openalex.org/W2060108852","https://openalex.org/W2126185163","https://openalex.org/W2140147817"],"related_works":["https://openalex.org/W1413489299","https://openalex.org/W2148508315","https://openalex.org/W2120182993","https://openalex.org/W2101208289","https://openalex.org/W2154612888","https://openalex.org/W2587249265","https://openalex.org/W1985968643","https://openalex.org/W2152012878","https://openalex.org/W2133231244","https://openalex.org/W2157253774"],"abstract_inverted_index":{"Variable-length":[0],"codes":[1,17],"can":[2,104],"be":[3,105],"used":[4],"in":[5,58,79,115],"entropy":[6,28],"coding":[7],"the":[8,27,31,60,68,71,88,100,109,123,147,151],"outputs":[9],"of":[10,40,70,75,90,111,125,150],"an":[11,55],"optimum":[12,76],"entropy-constrained":[13,77],"quantizer.":[14],"Transmitting":[15],"these":[16],"over":[18],"a":[19,24,34,112],"synchronous":[20],"channel;":[21],"however,":[22],"requires":[23],"buffer":[25,38],"connecting":[26],"coder":[29],"to":[30,67],"channel.":[32],"In":[33],"practical":[35],"application,":[36],"this":[37,51,82,126],"is":[39,85,95,120,128],"finite":[41],"size":[42],"and":[43,134,143],"hence":[44],"might":[45],"overflow":[46],"or":[47],"undertow.":[48],"To":[49],"alleviate":[50],"difficulty,":[52],"we":[53],"use":[54],"adaptive":[56,83,152],"scheme":[57,84],"which":[59],"quantizer":[61],"parameters":[62],"are":[63,154],"changed":[64],"successively":[65],"according":[66],"state":[69],"buffer.":[72],"Rate-distortion":[73],"performance":[74],"quantizers":[78],"conjunction":[80],"with":[81],"studied":[86],"for":[87,135],"class":[89],"generalized":[91],"Gaussian":[92],"sources.":[93],"It":[94],"demonstrated":[96],"through":[97],"simulations":[98],"that":[99,122],"overflow/":[101],"undertow":[102],"problem":[103],"practically":[106],"eliminated":[107],"at":[108,131],"cost":[110],"negligible":[113],"increase":[114],"average":[116,148],"distortion.":[117],"Furthermore,":[118],"it":[119],"shown":[121],"efficiency":[124],"system":[127,153],"more":[129,136],"pronounced":[130],"high":[132],"rates":[133],"broadtailed":[137],"source":[138],"densities.":[139],"Easily":[140],"computable":[141],"upper":[142],"lower":[144],"bounds":[145],"on":[146],"distortion":[149],"developed.":[155]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}