{"id":"https://openalex.org/W2063176365","doi":"https://doi.org/10.1109/tmm.2014.2341923","title":"On a Hashing-Based Enhancement of Source Separation Algorithms Over Finite Fields With Network Coding Perspectives","display_name":"On a Hashing-Based Enhancement of Source Separation Algorithms Over Finite Fields With Network Coding Perspectives","publication_year":2014,"publication_date":"2014-07-23","ids":{"openalex":"https://openalex.org/W2063176365","doi":"https://doi.org/10.1109/tmm.2014.2341923","mag":"2063176365"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2014.2341923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2014.2341923","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5023503840","display_name":"Irina-Delia Nemoianu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Irina-Delia Nemoianu","raw_affiliation_strings":["CNRS LTCI, Institut Mines-T\u00e9l\u00e9com, T\u00e9l\u00e9com ParisTech, Paris, France"],"affiliations":[{"raw_affiliation_string":"CNRS LTCI, Institut Mines-T\u00e9l\u00e9com, T\u00e9l\u00e9com ParisTech, Paris, France","institution_ids":["https://openalex.org/I205703379","https://openalex.org/I12356871","https://openalex.org/I4210165912","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105754433","display_name":"Claudio Greco","orcid":null},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Claudio Greco","raw_affiliation_strings":["CNRS LTCI, Institut Mines-T\u00e9l\u00e9com, T\u00e9l\u00e9com ParisTech, Paris, France","Division T\u00e9l\u00e9coms et R\u00e9seaux, CNRS, Gif-sur-Yvette, France","INRIA Rocquencourt, Domaine de Voluceau, Le Chesnay, BP, France"],"affiliations":[{"raw_affiliation_string":"CNRS LTCI, Institut Mines-T\u00e9l\u00e9com, T\u00e9l\u00e9com ParisTech, Paris, France","institution_ids":["https://openalex.org/I205703379","https://openalex.org/I12356871","https://openalex.org/I4210165912","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Division T\u00e9l\u00e9coms et R\u00e9seaux, CNRS, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"INRIA Rocquencourt, Domaine de Voluceau, Le Chesnay, BP, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042732174","display_name":"Marco Cagnazzo","orcid":"https://orcid.org/0000-0001-6731-3755"},"institutions":[{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marco Cagnazzo","raw_affiliation_strings":["CNRS LTCI, Institut Mines-T\u00e9l\u00e9com, T\u00e9l\u00e9com ParisTech, Paris, France"],"affiliations":[{"raw_affiliation_string":"CNRS LTCI, Institut Mines-T\u00e9l\u00e9com, T\u00e9l\u00e9com ParisTech, Paris, France","institution_ids":["https://openalex.org/I205703379","https://openalex.org/I12356871","https://openalex.org/I4210165912","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106469946","display_name":"B\u00e9atrice Pesquet\u2010Popescu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I205703379","display_name":"Institut Mines-T\u00e9l\u00e9com","ror":"https://ror.org/025vp2923","country_code":"FR","type":"facility","lineage":["https://openalex.org/I205703379"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Beatrice Pesquet-Popescu","raw_affiliation_strings":["CNRS LTCI, Institut Mines-T\u00e9l\u00e9com, T\u00e9l\u00e9com ParisTech, Paris, France"],"affiliations":[{"raw_affiliation_string":"CNRS LTCI, Institut Mines-T\u00e9l\u00e9com, T\u00e9l\u00e9com ParisTech, Paris, France","institution_ids":["https://openalex.org/I205703379","https://openalex.org/I12356871","https://openalex.org/I4210165912","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023503840"],"corresponding_institution_ids":["https://openalex.org/I12356871","https://openalex.org/I1294671590","https://openalex.org/I205703379","https://openalex.org/I4210165912"],"apc_list":null,"apc_paid":null,"fwci":0.8734,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74716435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","issue":"7","first_page":"2011","last_page":"2024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9934999942779541,"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":0.98580002784729,"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/computer-science","display_name":"Computer science","score":0.8834939002990723},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5746052861213684},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5732669234275818},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.5623044371604919},{"id":"https://openalex.org/keywords/linear-network-coding","display_name":"Linear network coding","score":0.485761433839798},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.4196210205554962},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36464518308639526},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3402925133705139},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3034924566745758}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8834939002990723},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5746052861213684},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5732669234275818},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.5623044371604919},{"id":"https://openalex.org/C138293262","wikidata":"https://www.wikidata.org/wiki/Q1089578","display_name":"Linear network coding","level":3,"score":0.485761433839798},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.4196210205554962},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36464518308639526},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3402925133705139},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3034924566745758}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2014.2341923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2014.2341923","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3469373","is_oa":false,"landing_page_url":"https://hdl.handle.net/11577/3469373","pdf_url":null,"source":{"id":"https://openalex.org/S4377196283","display_name":"Research Padua  Archive (University of Padua)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W67291757","https://openalex.org/W185105459","https://openalex.org/W1540628335","https://openalex.org/W1545991369","https://openalex.org/W1755563775","https://openalex.org/W1965609428","https://openalex.org/W1979898195","https://openalex.org/W1990128099","https://openalex.org/W1994557506","https://openalex.org/W2016312880","https://openalex.org/W2028168166","https://openalex.org/W2062063921","https://openalex.org/W2070463698","https://openalex.org/W2097731088","https://openalex.org/W2099741732","https://openalex.org/W2102860450","https://openalex.org/W2105649115","https://openalex.org/W2105831729","https://openalex.org/W2106403318","https://openalex.org/W2119647652","https://openalex.org/W2123649031","https://openalex.org/W2129403275","https://openalex.org/W2138928022","https://openalex.org/W2145325045","https://openalex.org/W2145861727","https://openalex.org/W2167023551","https://openalex.org/W6602757234","https://openalex.org/W6674714108"],"related_works":["https://openalex.org/W2258031046","https://openalex.org/W2030775967","https://openalex.org/W2755490834","https://openalex.org/W1549943908","https://openalex.org/W3125481297","https://openalex.org/W2960282440","https://openalex.org/W2604791925","https://openalex.org/W2501473353","https://openalex.org/W2162781804","https://openalex.org/W2589968180"],"abstract_inverted_index":{"Blind":[0],"Source":[1],"Separation":[2],"(BSS)":[3],"deals":[4],"with":[5],"the":[6,23,34,46,50,55,58,62,65,72,76,79,105,121,125,182,193],"recovery":[7],"of":[8,14,22,36,43,75,81,107,124],"source":[9,137],"signals":[10],"from":[11,57],"a":[12,116,138,148,196],"set":[13],"observed":[15],"mixtures,":[16],"when":[17,181],"little":[18],"or":[19],"no":[20],"knowledge":[21],"mixing":[24],"process":[25],"is":[26,68,164,191],"available.":[27],"BSS":[28,103],"can":[29,153],"find":[30],"an":[31,144],"application":[32],"in":[33,104,195],"context":[35,106],"network":[37],"coding,":[38],"where":[39],"relaying":[40],"linear":[41],"combinations":[42],"packets":[44],"maximizes":[45],"throughput":[47],"and":[48,78,151,179],"increases":[49],"loss":[51],"immunity.":[52],"By":[53],"relieving":[54],"nodes":[56],"need":[59],"to":[60,97,114,119,133,135,166],"send":[61],"combination":[63],"coefficients,":[64],"overhead":[66,145],"cost":[67],"largely":[69],"reduced.":[70],"However,":[71],"scaling":[73],"ambiguity":[74],"technique":[77],"quasi-uniformity":[80],"compressed":[82],"media":[83,173],"sources":[84],"makes":[85],"it":[86],"unfit,":[87],"at":[88],"its":[89],"present":[90],"state,":[91],"for":[92,102,171],"multimedia":[93,108],"transmission.":[94],"In":[95],"order":[96],"open":[98],"new":[99],"practical":[100],"applications":[101],"transmission,":[109],"we":[110,131],"have":[111],"recently":[112],"proposed":[113],"use":[115],"non-linear":[117,139],"encoding":[118,150],"increase":[120],"discriminating":[122],"power":[123],"classical":[126],"entropy-based":[127],"separation":[128],"methods.":[129],"Here,":[130],"propose":[132],"append":[134],"each":[136],"message":[140],"digest,":[141],"which":[142,190],"offers":[143],"smaller":[146],"than":[147,187],"per-symbol":[149],"that":[152,161],"be":[154],"more":[155],"easily":[156],"tuned.":[157],"Our":[158],"results":[159],"prove":[160],"our":[162],"algorithm":[163],"able":[165],"provide":[167],"high":[168],"decoding":[169],"rates":[170],"different":[172],"types":[174],"such":[175],"as":[176],"image,":[177],"audio,":[178],"video,":[180],"transmitted":[183],"messages":[184],"are":[185],"less":[186],"1.5":[188],"kilobytes,":[189],"typically":[192],"case":[194],"realistic":[197],"transmission":[198],"scenario.":[199]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}