{"id":"https://openalex.org/W2998356034","doi":"https://doi.org/10.1109/icct46805.2019.8947236","title":"An Efficient and Accurate Complex Nakagami Samples Generator Based on Inverse Transform Method","display_name":"An Efficient and Accurate Complex Nakagami Samples Generator Based on Inverse Transform Method","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2998356034","doi":"https://doi.org/10.1109/icct46805.2019.8947236","mag":"2998356034"},"language":"en","primary_location":{"id":"doi:10.1109/icct46805.2019.8947236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct46805.2019.8947236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","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/A5082812007","display_name":"Tao Zhou","orcid":"https://orcid.org/0000-0001-6078-2575"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Zhou","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101753750","display_name":"Yueheng Li","orcid":"https://orcid.org/0000-0003-1327-3334"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueheng Li","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077923713","display_name":"Cai Qiu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cai Wu","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082812007"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13176709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"102","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.9312999844551086,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.9312999844551086,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9182999730110168,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nakagami-distribution","display_name":"Nakagami distribution","score":0.9196205139160156},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.6236591339111328},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5999935865402222},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5843557119369507},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5541995167732239},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.5269630551338196},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4922601282596588},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4244289994239807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36867448687553406},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3460421562194824},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.166065514087677},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.09182998538017273},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08613002300262451},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06160545349121094}],"concepts":[{"id":"https://openalex.org/C115098869","wikidata":"https://www.wikidata.org/wiki/Q3258347","display_name":"Nakagami distribution","level":4,"score":0.9196205139160156},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.6236591339111328},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5999935865402222},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5843557119369507},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5541995167732239},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.5269630551338196},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4922601282596588},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4244289994239807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36867448687553406},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3460421562194824},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.166065514087677},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.09182998538017273},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08613002300262451},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06160545349121094},{"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/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct46805.2019.8947236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct46805.2019.8947236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1576718945","https://openalex.org/W1667165204","https://openalex.org/W2036055511","https://openalex.org/W2046245205","https://openalex.org/W2058229952","https://openalex.org/W2067997096","https://openalex.org/W2086959462","https://openalex.org/W2103276054","https://openalex.org/W2108828558","https://openalex.org/W2128664317","https://openalex.org/W2134062427","https://openalex.org/W2140090283","https://openalex.org/W2187595073"],"related_works":["https://openalex.org/W2121824117","https://openalex.org/W2128350152","https://openalex.org/W2088183555","https://openalex.org/W2118931651","https://openalex.org/W2164974156","https://openalex.org/W2115794616","https://openalex.org/W2049075887","https://openalex.org/W2103831785","https://openalex.org/W3000477998","https://openalex.org/W2374445688"],"abstract_inverted_index":{"An":[0],"efficient":[1],"and":[2,57],"accurate":[3],"simulation":[4],"method":[5,18,22],"used":[6],"for":[7,25],"generating":[8],"complex":[9],"Nakagami":[10,34],"distributed":[11],"samples":[12,46],"based":[13],"on":[14],"the":[15,29,40,44,54],"inverse":[16],"transform":[17],"is":[19,23],"proposed.":[20],"This":[21],"valid":[24],"arbitrary":[26],"values":[27],"of":[28,33,43],"fading":[30],"parameter":[31],"m":[32],"distribution.":[35,62],"Simulation":[36],"results":[37],"demonstrate":[38],"that":[39],"statistical":[41],"properties":[42],"random":[45],"generated":[47],"from":[48],"our":[49],"approach":[50],"are":[51],"close":[52],"to":[53],"theoretical":[55],"ones":[56],"also":[58],"satisfy":[59],"non-uniform":[60],"phase":[61]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}