{"id":"https://openalex.org/W1549902364","doi":"https://doi.org/10.1109/cwit.2015.7255146","title":"Characterization of optimal input distributions for Gaussian-mixture noise channels","display_name":"Characterization of optimal input distributions for Gaussian-mixture noise channels","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1549902364","doi":"https://doi.org/10.1109/cwit.2015.7255146","mag":"1549902364"},"language":"en","primary_location":{"id":"doi:10.1109/cwit.2015.7255146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cwit.2015.7255146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 14th Canadian Workshop on Information Theory (CWIT)","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/A5101477931","display_name":"Hung V. Vu","orcid":"https://orcid.org/0000-0001-5817-4992"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hung V. Vu","raw_affiliation_strings":["McGill University"],"affiliations":[{"raw_affiliation_string":"McGill University","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045721364","display_name":"Nghi H. Tran","orcid":"https://orcid.org/0000-0002-4246-0190"},"institutions":[{"id":"https://openalex.org/I110152177","display_name":"University of Akron","ror":"https://ror.org/02kyckx55","country_code":"US","type":"education","lineage":["https://openalex.org/I110152177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nghi H. Tran","raw_affiliation_strings":["University of Akron","#N#University of Akron#N#"],"affiliations":[{"raw_affiliation_string":"University of Akron","institution_ids":["https://openalex.org/I110152177"]},{"raw_affiliation_string":"#N#University of Akron#N#","institution_ids":["https://openalex.org/I110152177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076753154","display_name":"M. Cenk Gursoy","orcid":"https://orcid.org/0000-0002-7352-1013"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mustafa Cenk Gursoy","raw_affiliation_strings":["Syracuse University","syracuse University"],"affiliations":[{"raw_affiliation_string":"Syracuse University","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"syracuse University","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026464766","display_name":"Tho Le\u2010Ngoc","orcid":"https://orcid.org/0000-0002-9308-8894"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tho Le-Ngoc","raw_affiliation_strings":["McGill University"],"affiliations":[{"raw_affiliation_string":"McGill University","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102011050","display_name":"S. I. Hariharan","orcid":"https://orcid.org/0000-0001-6541-8860"},"institutions":[{"id":"https://openalex.org/I110152177","display_name":"University of Akron","ror":"https://ror.org/02kyckx55","country_code":"US","type":"education","lineage":["https://openalex.org/I110152177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. I. Hariharan","raw_affiliation_strings":["University of Akron","#N#University of Akron#N#"],"affiliations":[{"raw_affiliation_string":"University of Akron","institution_ids":["https://openalex.org/I110152177"]},{"raw_affiliation_string":"#N#University of Akron#N#","institution_ids":["https://openalex.org/I110152177"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101477931"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02581391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"32","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12146","display_name":"Power Line Communications and Noise","score":0.9998000264167786,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.992900013923645,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9857000112533569,"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/gaussian-noise","display_name":"Gaussian noise","score":0.5600869655609131},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5011005401611328},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4991796016693115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47746825218200684},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4655637741088867},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4590446352958679},{"id":"https://openalex.org/keywords/shannon\u2013hartley-theorem","display_name":"Shannon\u2013Hartley theorem","score":0.4332846701145172},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.427731454372406},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.423446387052536},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.36155736446380615},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.34961339831352234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29926055669784546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24665701389312744},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18714889883995056},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17323464155197144},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1178702712059021}],"concepts":[{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5600869655609131},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5011005401611328},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4991796016693115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47746825218200684},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4655637741088867},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4590446352958679},{"id":"https://openalex.org/C180137035","wikidata":"https://www.wikidata.org/wiki/Q1756194","display_name":"Shannon\u2013Hartley theorem","level":4,"score":0.4332846701145172},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.427731454372406},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.423446387052536},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.36155736446380615},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.34961339831352234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29926055669784546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24665701389312744},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18714889883995056},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17323464155197144},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1178702712059021},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cwit.2015.7255146","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cwit.2015.7255146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 14th Canadian Workshop on Information Theory (CWIT)","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":17,"referenced_works":["https://openalex.org/W19451620","https://openalex.org/W1534416612","https://openalex.org/W1543496099","https://openalex.org/W1590521788","https://openalex.org/W1967926896","https://openalex.org/W2030967152","https://openalex.org/W2101992740","https://openalex.org/W2111930879","https://openalex.org/W2118061326","https://openalex.org/W2126402355","https://openalex.org/W2134016524","https://openalex.org/W2154750699","https://openalex.org/W2168424279","https://openalex.org/W2481312347","https://openalex.org/W2491017754","https://openalex.org/W4243888862","https://openalex.org/W6632460473"],"related_works":["https://openalex.org/W1911817635","https://openalex.org/W2074565401","https://openalex.org/W2810224748","https://openalex.org/W1970319972","https://openalex.org/W2353656796","https://openalex.org/W1607924090","https://openalex.org/W1967187784","https://openalex.org/W2242778450","https://openalex.org/W2380803194","https://openalex.org/W2011915004"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,10,39,72,76,86,111,116,131,138],"characterization":[4],"of":[5,34,103,146],"optimal":[6,77,112,117,139],"input":[7,69,78,119],"distributions":[8],"for":[9],"general":[11],"additive":[12],"quadrature":[13],"Gaussian-mixture":[14],"(GM)":[15],"noise":[16,46],"channel":[17,73],"under":[18,57],"an":[19,80],"average":[20],"power":[21],"constraint.":[22],"The":[23],"considered":[24],"model":[25],"can":[26],"be":[27],"used":[28],"to":[29],"represent":[30],"a":[31,67,100,126,143],"wide":[32],"variety":[33],"communication":[35],"channels,":[36,47],"such":[37],"as":[38],"well-known":[40],"Bernoulli-Gaussian":[41],"and":[42,53,75,90],"Middleton":[43],"Class-A":[44],"impulsive":[45],"co-channel":[48],"interference":[49],"in":[50,110],"cellular":[51],"communications,":[52],"cognitive":[54],"radio":[55],"channels":[56],"imperfect":[58],"spectrum":[59],"sensing.":[60],"We":[61],"first":[62],"demonstrate":[63,95],"that":[64,96,137],"there":[65,97],"exists":[66],"unique":[68],"distribution":[70,120,141],"achieving":[71],"capacity":[74],"has":[79,142],"uniformly":[81],"distributed":[82],"phase.":[83],"By":[84],"using":[85],"Kuhn-Tucker":[87],"conditions":[88],"(KTC)":[89],"Bernstein's":[91],"theorem,":[92],"we":[93],"then":[94,135],"are":[98],"always":[99],"finite":[101,144],"number":[102,145],"mass":[104,147],"points":[105],"on":[106,130],"any":[107],"bounded":[108],"interval":[109],"amplitude":[113,118,140],"distribution.":[114],"Equivalently,":[115],"is":[121,134],"discrete.":[122],"Furthermore,":[123],"by":[124],"applying":[125],"novel":[127],"bounding":[128],"technique":[129],"KTC,":[132],"it":[133],"shown":[136],"points.":[148]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
