{"id":"https://openalex.org/W2796266092","doi":"https://doi.org/10.1109/isit.2018.8437781","title":"A Compressed Sensing Approach for Distribution Matching","display_name":"A Compressed Sensing Approach for Distribution Matching","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2796266092","doi":"https://doi.org/10.1109/isit.2018.8437781","mag":"2796266092"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2018.8437781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2018.8437781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1804.00602","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074906433","display_name":"Mohamad Dia","orcid":"https://orcid.org/0000-0003-1028-787X"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Mohamad Dia","raw_affiliation_strings":["LTHC - EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"LTHC - EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032852537","display_name":"Vahid Aref","orcid":"https://orcid.org/0000-0003-3893-0345"},"institutions":[{"id":"https://openalex.org/I4210159457","display_name":"Nokia (Germany)","ror":"https://ror.org/05nh5td39","country_code":"DE","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210159457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vahid Aref","raw_affiliation_strings":["Nokia - Bell Labs, Stuttgart, Germany","Nokia Bell Labs, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Nokia - Bell Labs, Stuttgart, Germany","institution_ids":["https://openalex.org/I4210159457"]},{"raw_affiliation_string":"Nokia Bell Labs, Stuttgart, Germany","institution_ids":["https://openalex.org/I4210159457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053280913","display_name":"Laurent Schmalen","orcid":"https://orcid.org/0000-0002-1459-9128"},"institutions":[{"id":"https://openalex.org/I4210159457","display_name":"Nokia (Germany)","ror":"https://ror.org/05nh5td39","country_code":"DE","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210159457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Laurent Schmalen","raw_affiliation_strings":["Nokia - Bell Labs, Stuttgart, Germany","Nokia Bell Labs, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Nokia - Bell Labs, Stuttgart, Germany","institution_ids":["https://openalex.org/I4210159457"]},{"raw_affiliation_string":"Nokia Bell Labs, Stuttgart, Germany","institution_ids":["https://openalex.org/I4210159457"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074906433"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":0.48409315,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5733907,"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":"1266","last_page":"1270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9987000226974487,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7640182375907898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6160506010055542},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6082800626754761},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48587197065353394},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4625164270401001},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4606175124645233},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4558478891849518},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.4549838602542877},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.4393157958984375},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32516637444496155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2885534465312958}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7640182375907898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6160506010055542},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6082800626754761},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48587197065353394},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4625164270401001},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4606175124645233},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4558478891849518},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.4549838602542877},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.4393157958984375},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32516637444496155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2885534465312958},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/isit.2018.8437781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2018.8437781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1804.00602","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.00602","pdf_url":"https://arxiv.org/pdf/1804.00602","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:2796266092","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1804.00602.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:infoscience.epfl.ch:262334","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/262334","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"WoS","raw_type":"conference proceedings"},{"id":"doi:10.48550/arxiv.1804.00602","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1804.00602","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1804.00602","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.00602","pdf_url":"https://arxiv.org/pdf/1804.00602","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1749807555","https://openalex.org/W1837352444","https://openalex.org/W1909826856","https://openalex.org/W2079476915","https://openalex.org/W2082029531","https://openalex.org/W2087599392","https://openalex.org/W2096913950","https://openalex.org/W2099928851","https://openalex.org/W2104974061","https://openalex.org/W2112544308","https://openalex.org/W2115001548","https://openalex.org/W2116890374","https://openalex.org/W2121212538","https://openalex.org/W2129638195","https://openalex.org/W2129857026","https://openalex.org/W2135764410","https://openalex.org/W2296616510","https://openalex.org/W2577079242","https://openalex.org/W2735685319","https://openalex.org/W2951090971","https://openalex.org/W2952582770","https://openalex.org/W2962781163","https://openalex.org/W2962825614","https://openalex.org/W2963604059","https://openalex.org/W2964071011","https://openalex.org/W2964288260","https://openalex.org/W3145937384","https://openalex.org/W4250955649","https://openalex.org/W6637695523","https://openalex.org/W6674986737","https://openalex.org/W6723271020"],"related_works":["https://openalex.org/W2963326828","https://openalex.org/W2258639763","https://openalex.org/W1853502852","https://openalex.org/W2291599777","https://openalex.org/W2891041063","https://openalex.org/W2786002482","https://openalex.org/W2736310305","https://openalex.org/W2964081564","https://openalex.org/W2248274656","https://openalex.org/W3089778317","https://openalex.org/W2962740860","https://openalex.org/W2951447401","https://openalex.org/W2753751479","https://openalex.org/W1527917680","https://openalex.org/W2244569499","https://openalex.org/W1927512595","https://openalex.org/W39134676","https://openalex.org/W2044450349","https://openalex.org/W2407241143","https://openalex.org/W2029458236"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,31,112],"formulate":[4],"the":[5,20,25,35,56,58,61,64,90,93,97,100,114,117,131,138],"fixed-length":[6],"distribution":[7,102],"matching":[8,136],"as":[9],"a":[10,45,108],"Bayesian":[11],"inference":[12],"problem.":[13],"Our":[14],"proposed":[15,128],"solution":[16,129],"is":[17,130],"inspired":[18],"from":[19],"compressed":[21],"sensing":[22],"paradigm":[23],"and":[24,47,66,81,147],"sparse":[26],"superposition":[27],"(SS)":[28],"codes.":[29],"First,":[30],"introduce":[32],"sparsity":[33,62],"in":[34,63,89,107],"binary":[36],"source":[37,65],"via":[38],"position":[39],"modulation":[40],"(PM).":[41],"We":[42,76],"then":[43],"present":[44],"simple":[46],"exact":[48],"matcher":[49],"based":[50,70],"on":[51,71,119],"Gaussian":[52],"signal":[53],"quantization.":[54],"At":[55],"receiver,":[57],"dematcher":[59,80,118],"exploits":[60],"performs":[67],"low-complexity":[68],"dematching":[69],"generalized":[72],"approximate":[73],"message-passing":[74],"(GAMP).":[75],"show":[77],"that":[78,92],"GAMP":[79],"spatial":[82],"coupling":[83],"lead":[84],"to":[85,96],"asymptotically":[86],"optimal":[87],"performance,":[88],"sense":[91],"rate":[94],"tends":[95],"entropy":[98],"of":[99,116,126],"target":[101],"with":[103],"vanishing":[104],"reconstruction":[105],"error":[106],"proper":[109],"limit.":[110],"Furthermore,":[111],"assess":[113],"performance":[115],"practical":[120],"Hadamard-based":[121],"operators.":[122],"A":[123],"remarkable":[124],"feature":[125],"our":[127],"possibility":[132],"to:":[133],"i)":[134],"perform":[135,143],"at":[137],"symbol":[139],"level":[140],"(nonbinary);":[141],"ii)":[142],"joint":[144],"channel":[145],"coding":[146],"matching.":[148]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
