{"id":"https://openalex.org/W1503426617","doi":"https://doi.org/10.1109/iscas.2003.1205860","title":"A method for generating non-Gaussian noise series with specified probability distribution and power spectrum","display_name":"A method for generating non-Gaussian noise series with specified probability distribution and power spectrum","publication_year":2003,"publication_date":"2003-10-15","ids":{"openalex":"https://openalex.org/W1503426617","doi":"https://doi.org/10.1109/iscas.2003.1205860","mag":"1503426617"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2003.1205860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2003.1205860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03.","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/A5100955982","display_name":"Shen Minfen","orcid":null},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shen Minfen","raw_affiliation_strings":["Science Research Center, Shantou University, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Science Research Center, Shantou University, Guangdong, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063650551","display_name":"Fran\u00e7ois Chan","orcid":"https://orcid.org/0000-0002-2719-9430"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"F.H.Y. Chan","raw_affiliation_strings":["Department of Electronic Engineering, Hong Kong University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Hong Kong University, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017743459","display_name":"P.J. Beadle","orcid":null},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"P.J. Beadle","raw_affiliation_strings":["School of System Engineering, Portsmouth University, Portsmouth, UK"],"affiliations":[{"raw_affiliation_string":"School of System Engineering, Portsmouth University, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100955982"],"corresponding_institution_ids":["https://openalex.org/I32574673"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.05107037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9970999956130981,"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":0.9970999956130981,"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":0.9968000054359436,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9944000244140625,"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/gaussian-noise","display_name":"Gaussian noise","score":0.7093114256858826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6008577346801758},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5748444199562073},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.5589200258255005},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5383175015449524},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.5202202200889587},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49786972999572754},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4971027672290802},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48646947741508484},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.4761731028556824},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.459308922290802},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4160429835319519},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4106517434120178},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3699319362640381},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.307405948638916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28965243697166443},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2288990020751953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21793898940086365},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18410950899124146},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1539733111858368},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13250863552093506},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09813272953033447}],"concepts":[{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.7093114256858826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6008577346801758},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5748444199562073},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.5589200258255005},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5383175015449524},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.5202202200889587},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49786972999572754},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4971027672290802},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48646947741508484},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.4761731028556824},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.459308922290802},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4160429835319519},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4106517434120178},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3699319362640381},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.307405948638916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28965243697166443},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2288990020751953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21793898940086365},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18410950899124146},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1539733111858368},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13250863552093506},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09813272953033447},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscas.2003.1205860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2003.1205860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03.","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/46381","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/46381","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1578525639","https://openalex.org/W1667165204","https://openalex.org/W2035385568","https://openalex.org/W2036488048","https://openalex.org/W2091696547","https://openalex.org/W2110578705","https://openalex.org/W2991769464","https://openalex.org/W4210530152","https://openalex.org/W6676614989","https://openalex.org/W7024001005","https://openalex.org/W7055921001"],"related_works":["https://openalex.org/W2986378528","https://openalex.org/W3178345791","https://openalex.org/W2131502229","https://openalex.org/W2942503963","https://openalex.org/W2380451605","https://openalex.org/W2092661960","https://openalex.org/W1550854977","https://openalex.org/W4231055618","https://openalex.org/W1529991411","https://openalex.org/W2172265180"],"abstract_inverted_index":{"It":[0],"is":[1],"necessary":[2],"to":[3,84],"generate":[4,32],"a":[5,33,41,48,65,71],"non-Gaussian":[6,43,72],"noise":[7,35,73],"sequence":[8,36,74],"in":[9],"the":[10,13,20,53,57,60,86,89],"simulation":[11,79],"of":[12,22,55,59,88],"communication":[14],"system":[15,25],"and":[16,47],"signal":[17],"processing.":[18],"In":[19],"design":[21],"some":[23],"practical":[24],"such":[26,70],"as":[27],"radar":[28],"system,":[29],"we":[30],"must":[31],"stationary":[34],"or":[37],"clutter":[38],"series":[39],"with":[40],"specified":[42],"probability":[44],"density":[45],"function":[46],"desired":[49],"power":[50],"spectrum":[51],"for":[52],"purpose":[54],"testing":[56],"performance":[58],"system.":[61],"This":[62],"paper":[63],"presents":[64],"novel":[66],"method":[67],"by":[68],"which":[69],"can":[75],"be":[76],"generated.":[77],"The":[78],"results":[80],"are":[81],"also":[82],"demonstrated":[83],"show":[85],"effectiveness":[87],"proposed":[90],"method.":[91]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}