{"id":"https://openalex.org/W2577316929","doi":"https://doi.org/10.1109/mmsp.2016.7813407","title":"Novel UEP product code scheme with protograph-based linear permutation and iterative decoding for scalable image transmission","display_name":"Novel UEP product code scheme with protograph-based linear permutation and iterative decoding for scalable image transmission","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2577316929","doi":"https://doi.org/10.1109/mmsp.2016.7813407","mag":"2577316929"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2016.7813407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2016.7813407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","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":0.4285,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80502455,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9991000294685364,"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/T12162","display_name":"Cellular Automata and Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/decoding-methods","display_name":"Decoding methods","score":0.773438572883606},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.7287603616714478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6760963201522827},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6112287640571594},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5648348927497864},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5094528794288635},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4866276681423187},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.47918760776519775},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47314321994781494},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3602479100227356},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23666074872016907},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09035846590995789}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.773438572883606},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.7287603616714478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6760963201522827},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6112287640571594},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5648348927497864},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5094528794288635},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4866276681423187},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.47918760776519775},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47314321994781494},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3602479100227356},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23666074872016907},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09035846590995789},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2016.7813407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2016.7813407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W91277888","https://openalex.org/W1999367605","https://openalex.org/W2051888076","https://openalex.org/W2055962336","https://openalex.org/W2089562944","https://openalex.org/W2091028014","https://openalex.org/W2100113593","https://openalex.org/W2101394529","https://openalex.org/W2103353540","https://openalex.org/W2127490352","https://openalex.org/W2131556131","https://openalex.org/W2132573196","https://openalex.org/W2136923821","https://openalex.org/W2142276208","https://openalex.org/W2142627787","https://openalex.org/W2143884373","https://openalex.org/W2151360650","https://openalex.org/W6603727012","https://openalex.org/W6675543121"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W3203142394","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W2757182831","https://openalex.org/W1838576100","https://openalex.org/W1968289971","https://openalex.org/W4300588357","https://openalex.org/W4298036227","https://openalex.org/W2100349471"],"abstract_inverted_index":{"This":[0,32],"paper":[1],"introduces":[2],"a":[3,61],"linear":[4,97,141],"permutation":[5,142],"module":[6],"before":[7],"the":[8,12,19,35,40,50,96,107,111,119,122,132,137,140],"inner":[9,41],"encoder":[10],"of":[11,21,39,60,72,110,121,147],"iteratively":[13],"decoded":[14],"product":[15,57],"coding":[16],"structure,":[17],"for":[18,106],"transmission":[20],"scalable":[22],"bit":[23],"streams":[24],"over":[25,153],"error-prone":[26],"channels":[27,156],"<sup":[28],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[29],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[30],".":[31],"can":[33],"improve":[34],"error":[36],"correction":[37],"ability":[38],"code":[42,53,58,65],"when":[43],"some":[44],"source":[45],"bits":[46],"are":[47,99],"known":[48],"from":[49,94],"preceding":[51],"outer":[52],"decoding":[54],"stages.":[55],"The":[56,127],"consists":[59],"protograph":[62],"low-density":[63],"parity-check":[64],"(inner":[66],"code)":[67],"and":[68,116,150,158],"Reed-Solomon":[69],"(RS)":[70],"codes":[71,124],"various":[73],"strengths":[74],"(outer":[75],"code).":[76],"Further,":[77],"an":[78,103],"algorithm":[79],"relying":[80],"on":[81],"protograph-based":[82],"extrinsic":[83],"information":[84],"transfer":[85],"analysis":[86],"is":[87,114],"devised":[88],"to":[89],"design":[90],"good":[91],"base":[92],"matrices":[93],"which":[95],"permutations":[98],"constructed.":[100],"In":[101],"addition,":[102],"analytical":[104],"formula":[105],"expected":[108],"fidelity":[109],"reconstructed":[112],"sequence":[113],"derived":[115],"utilized":[117],"in":[118],"optimization":[120],"RS":[123],"redundancy":[125],"assignment.":[126],"experimental":[128],"results":[129],"reveal":[130],"that":[131],"proposed":[133],"approach":[134],"consistently":[135],"outperforms":[136],"scheme":[138],"without":[139],"module,":[143],"reaching":[144],"peak":[145],"improvements":[146],"1.98":[148],"dB":[149,152],"1.30":[151],"binary":[154],"symmetric":[155],"(BSC)":[157],"additive":[159],"white":[160],"Gaussian":[161],"noise":[162],"(AWGN)":[163],"channels,":[164],"respectively.":[165]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
