{"id":"https://openalex.org/W2000084501","doi":"https://doi.org/10.1109/cig.2010.5592821","title":"Lossy source compression of non-uniform binary sources using GQ-LDGM codes","display_name":"Lossy source compression of non-uniform binary sources using GQ-LDGM codes","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2000084501","doi":"https://doi.org/10.1109/cig.2010.5592821","mag":"2000084501"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2010.5592821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2010.5592821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Information Theory Workshop","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/A5022635863","display_name":"Lorenzo Cappellari","orcid":"https://orcid.org/0000-0001-6791-3494"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Lorenzo Cappellari","raw_affiliation_strings":["Department of Information Engineering, University of Padova, Italy","Department of Information Engineering University of Padova  Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering University of Padova  Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022635863"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":0.7122,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71059635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9998000264167786,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9988999962806702,"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/lossy-compression","display_name":"Lossy compression","score":0.7352274656295776},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6858094930648804},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6050458550453186},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5988282561302185},{"id":"https://openalex.org/keywords/decimation","display_name":"Decimation","score":0.557863175868988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5023238658905029},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.48431482911109924},{"id":"https://openalex.org/keywords/distributed-source-coding","display_name":"Distributed source coding","score":0.43270403146743774},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.4102644920349121},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4053301215171814},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.371944785118103},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3670491576194763},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.32247474789619446},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.3005021810531616},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.21425405144691467},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.16369187831878662},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16300413012504578},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14778411388397217},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.10704657435417175},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08600705862045288}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7352274656295776},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6858094930648804},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6050458550453186},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5988282561302185},{"id":"https://openalex.org/C173642442","wikidata":"https://www.wikidata.org/wiki/Q1253346","display_name":"Decimation","level":3,"score":0.557863175868988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5023238658905029},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.48431482911109924},{"id":"https://openalex.org/C200801453","wikidata":"https://www.wikidata.org/wiki/Q5283181","display_name":"Distributed source coding","level":4,"score":0.43270403146743774},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.4102644920349121},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4053301215171814},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.371944785118103},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3670491576194763},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.32247474789619446},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3005021810531616},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.21425405144691467},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.16369187831878662},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16300413012504578},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14778411388397217},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.10704657435417175},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08600705862045288},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cig.2010.5592821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2010.5592821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Information Theory Workshop","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.762.2844","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.762.2844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://arxiv.org/pdf/1004.2628.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1518885151","https://openalex.org/W1544902333","https://openalex.org/W1702010395","https://openalex.org/W2113362900","https://openalex.org/W2135764410","https://openalex.org/W2137813581","https://openalex.org/W2139132527","https://openalex.org/W2145901379","https://openalex.org/W2145953267","https://openalex.org/W2146774798","https://openalex.org/W2155113587","https://openalex.org/W2162754622","https://openalex.org/W2166944067","https://openalex.org/W2167357335","https://openalex.org/W2167749944","https://openalex.org/W2169732368","https://openalex.org/W2478708596","https://openalex.org/W2621271919","https://openalex.org/W6632595725","https://openalex.org/W6637562678"],"related_works":["https://openalex.org/W2950221323","https://openalex.org/W2561356615","https://openalex.org/W2990618454","https://openalex.org/W2161542721","https://openalex.org/W1498708488","https://openalex.org/W2153621579","https://openalex.org/W1999453492","https://openalex.org/W2398906346","https://openalex.org/W2952836664","https://openalex.org/W1554604567"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"study":[4],"the":[5,74],"use":[6],"of":[7,39],"GF(q)-quantized":[8],"LDGM":[9],"codes":[10,64],"for":[11,35],"binary":[12,23],"source":[13],"coding.":[14],"By":[15],"employing":[16],"quantization,":[17],"it":[18],"is":[19,32],"possible":[20],"to":[21,55,73],"obtain":[22],"codewords":[24],"with":[25,49,65],"a":[26,45,50],"non-uniform":[27,40],"distribution.":[28],"The":[29,58],"obtained":[30],"statistics":[31],"hence":[33],"suitable":[34],"optimal,":[36],"direct":[37],"quantization":[38],"Bernoulli":[41],"sources.":[42],"We":[43],"employ":[44],"message-passing":[46],"algorithm":[47],"combined":[48],"decimation":[51],"procedure":[52],"in":[53],"order":[54],"perform":[56],"compression.":[57],"experimental":[59],"results":[60],"based":[61],"on":[62],"GF(q)-LDGM":[63],"regular":[66],"degree":[67],"distributions":[68],"yield":[69],"performances":[70],"quite":[71],"close":[72],"theoretical":[75],"rate-distortion":[76],"bounds.":[77]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}