{"id":"https://openalex.org/W2919589012","doi":"https://doi.org/10.1109/access.2019.2902165","title":"Mellin Transform-Based Approach for Parameter Estimation of K Distribution Plus Noise","display_name":"Mellin Transform-Based Approach for Parameter Estimation of K Distribution Plus Noise","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2919589012","doi":"https://doi.org/10.1109/access.2019.2902165","mag":"2919589012"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2902165","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2902165","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08654651.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08654651.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070928752","display_name":"Kuihua Huang","orcid":"https://orcid.org/0000-0001-6365-275X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuihua Huang","raw_affiliation_strings":["College of System Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of System Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669314","display_name":"Chao Chen","orcid":"https://orcid.org/0000-0002-0552-1599"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Chen","raw_affiliation_strings":["College of System Engineering, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0552-1599","affiliations":[{"raw_affiliation_string":"College of System Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069548273","display_name":"Gui Gao","orcid":"https://orcid.org/0000-0003-4596-5829"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gui Gao","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4596-5829","affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1412,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53941144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"29202","last_page":"29212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9957000017166138,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9957000017166138,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.992900013923645,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9836000204086304,"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/mellin-transform","display_name":"Mellin transform","score":0.8083643317222595},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7725406885147095},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5695183277130127},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5685058832168579},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5594792366027832},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5462760925292969},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.5449132323265076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5273876190185547},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5089025497436523},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5022666454315186},{"id":"https://openalex.org/keywords/mellin-inversion-theorem","display_name":"Mellin inversion theorem","score":0.43412742018699646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34551817178726196},{"id":"https://openalex.org/keywords/laplace-transform","display_name":"Laplace transform","score":0.2526438236236572},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22503918409347534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17323151230812073},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.14567145705223083},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.13448092341423035},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.0822540819644928},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.07403719425201416}],"concepts":[{"id":"https://openalex.org/C199874217","wikidata":"https://www.wikidata.org/wiki/Q606934","display_name":"Mellin transform","level":3,"score":0.8083643317222595},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7725406885147095},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5695183277130127},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5685058832168579},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5594792366027832},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5462760925292969},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.5449132323265076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5273876190185547},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5089025497436523},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5022666454315186},{"id":"https://openalex.org/C179766858","wikidata":"https://www.wikidata.org/wiki/Q6813106","display_name":"Mellin inversion theorem","level":5,"score":0.43412742018699646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34551817178726196},{"id":"https://openalex.org/C97937538","wikidata":"https://www.wikidata.org/wiki/Q199691","display_name":"Laplace transform","level":2,"score":0.2526438236236572},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22503918409347534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17323151230812073},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14567145705223083},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.13448092341423035},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0822540819644928},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.07403719425201416},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2902165","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2902165","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08654651.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ed813eb95fa546799de67520daa03fb3","is_oa":true,"landing_page_url":"https://doaj.org/article/ed813eb95fa546799de67520daa03fb3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 29202-29212 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2902165","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2902165","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08654651.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2224118116","display_name":"\u52a8\u6001\u4e0d\u786e\u5b9a\u73af\u5883\u4e0b\u8054\u5408\u4f5c\u6218\u884c\u52a8\u8ba1\u5212\u5efa\u6a21\u4e0e\u4f18\u5316\u65b9\u6cd5\u7814\u7a76","funder_award_id":"71471174","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2919589012.pdf","grobid_xml":"https://content.openalex.org/works/W2919589012.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1604319749","https://openalex.org/W1964149068","https://openalex.org/W1990011134","https://openalex.org/W1990044189","https://openalex.org/W1996205700","https://openalex.org/W2034783362","https://openalex.org/W2045660292","https://openalex.org/W2056902548","https://openalex.org/W2061977073","https://openalex.org/W2068181472","https://openalex.org/W2074817400","https://openalex.org/W2076983541","https://openalex.org/W2089443681","https://openalex.org/W2117246123","https://openalex.org/W2117962048","https://openalex.org/W2121928666","https://openalex.org/W2123684284","https://openalex.org/W2124678593","https://openalex.org/W2131523739","https://openalex.org/W2158347164","https://openalex.org/W2160216316","https://openalex.org/W2165666288","https://openalex.org/W2169213859","https://openalex.org/W2169290000","https://openalex.org/W2238817608","https://openalex.org/W2327244820","https://openalex.org/W2339055696","https://openalex.org/W2372445567","https://openalex.org/W3008609509","https://openalex.org/W3016843226","https://openalex.org/W4236964523","https://openalex.org/W6668977286","https://openalex.org/W6672940277"],"related_works":["https://openalex.org/W2598451512","https://openalex.org/W650533595","https://openalex.org/W2052970241","https://openalex.org/W2076620254","https://openalex.org/W2786944155","https://openalex.org/W3182557156","https://openalex.org/W3176488923","https://openalex.org/W1996063009","https://openalex.org/W2152887067","https://openalex.org/W2620571730"],"abstract_inverted_index":{"Mellin":[0,26,47],"transform":[1,27],"is":[2,28,75,93],"a":[3],"fast":[4],"and":[5,41,109],"robust":[6],"method":[7],"for":[8,99],"parameter":[9,15,79],"estimation.":[10],"In":[11],"this":[12],"paper,":[13],"the":[14,25,34,37,53,56,66,72,90],"estimator":[16,92],"of":[17,36,55,68,81,107],"K":[18],"plus":[19],"noise":[20,102],"(KpN)":[21],"model":[22],"based":[23],"on":[24],"proposed.":[29],"First,":[30],"we":[31,51],"start":[32],"deriving":[33],"expression":[35,54],"second":[38],"characteristic":[39],"functions":[40],"log-based":[42],"moments":[43],"in":[44],"detail":[45],"by":[46],"transform.":[48],"And":[49],"then,":[50],"provide":[52],"first":[57],"fourth":[58],"order":[59],"log-culumants":[60],"which":[61],"are":[62],"directly":[63],"related":[64],"to":[65,77,101],"parameters":[67],"KpN":[69,82],"model.":[70,83],"Finally,":[71],"numerical":[73],"computation":[74],"applied":[76],"realize":[78],"estimation":[80],"The":[84],"Monte":[85],"Carlo":[86],"simulations":[87],"show":[88],"that":[89],"proposed":[91],"more":[94],"efficient":[95],"than":[96],"existing":[97],"methods":[98],"clutter":[100],"ratios":[103],"under":[104],"both":[105],"situations":[106],"large":[108],"small":[110],"sample":[111],"sizes.":[112]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
