{"id":"https://openalex.org/W2131463011","doi":"https://doi.org/10.1109/icassp.2011.5946821","title":"A flexible high-throughput hardware architecture for a gaussian noise generator","display_name":"A flexible high-throughput hardware architecture for a gaussian noise generator","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2131463011","doi":"https://doi.org/10.1109/icassp.2011.5946821","mag":"2131463011"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5039801875","display_name":"I. Paraskevakos","orcid":null},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"I. Paraskevakos","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Patras, Greece","Electrical and Computer Engineering Department, University of Patras, 26500 Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Patras, Greece","institution_ids":["https://openalex.org/I174878644"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Patras, 26500 Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021252086","display_name":"Vassilis Paliouras","orcid":"https://orcid.org/0000-0002-1414-7500"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"V. Paliouras","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Patras, Greece","Electrical and Computer Engineering Department, University of Patras, 26500 Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Patras, Greece","institution_ids":["https://openalex.org/I174878644"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Patras, 26500 Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":null,"apc_paid":null,"fwci":2.0938,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.89719222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1673","last_page":"1676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9990000128746033,"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.8058899641036987},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.7919750809669495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6672717332839966},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5927027463912964},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.577433705329895},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5335408449172974},{"id":"https://openalex.org/keywords/shift-register","display_name":"Shift register","score":0.5058205127716064},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4987449645996094},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.48464781045913696},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.48419836163520813},{"id":"https://openalex.org/keywords/clock-rate","display_name":"Clock rate","score":0.4544946253299713},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.44719600677490234},{"id":"https://openalex.org/keywords/random-number-generation","display_name":"Random number generation","score":0.42739206552505493},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.369439959526062},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.1119634211063385},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09720802307128906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08941197395324707},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.06829783320426941},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.06687986850738525}],"concepts":[{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.8058899641036987},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.7919750809669495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6672717332839966},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5927027463912964},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.577433705329895},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5335408449172974},{"id":"https://openalex.org/C49654631","wikidata":"https://www.wikidata.org/wiki/Q746165","display_name":"Shift register","level":3,"score":0.5058205127716064},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4987449645996094},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.48464781045913696},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.48419836163520813},{"id":"https://openalex.org/C178693496","wikidata":"https://www.wikidata.org/wiki/Q911691","display_name":"Clock rate","level":3,"score":0.4544946253299713},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.44719600677490234},{"id":"https://openalex.org/C201866948","wikidata":"https://www.wikidata.org/wiki/Q228206","display_name":"Random number generation","level":2,"score":0.42739206552505493},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.369439959526062},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.1119634211063385},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09720802307128906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08941197395324707},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.06829783320426941},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.06687986850738525},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2011.5946821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.470.5992","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.470.5992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mirlab.org/conference_papers/International_Conference/ICASSP 2011/pdfs/0001673.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1578458555","https://openalex.org/W1606275492","https://openalex.org/W1965612527","https://openalex.org/W2082752829","https://openalex.org/W2095595785","https://openalex.org/W2124357822","https://openalex.org/W2141116325","https://openalex.org/W2160495765","https://openalex.org/W2166249186","https://openalex.org/W4232621341"],"related_works":["https://openalex.org/W2914680728","https://openalex.org/W1911817635","https://openalex.org/W4229460141","https://openalex.org/W2810224748","https://openalex.org/W2353656796","https://openalex.org/W2011915004","https://openalex.org/W2074565401","https://openalex.org/W1607924090","https://openalex.org/W1967187784","https://openalex.org/W2242778450"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"a":[3,20,24,32,46],"flexible,":[4],"high-throughput,":[5],"low-complexity":[6],"additive":[7],"white":[8],"gaussian":[9,38],"noise":[10,39],"(AWGN)":[11],"channel":[12],"generator":[13,18],"is":[14,42],"presented.":[15],"The":[16,58],"proposed":[17,59],"employs":[19],"Mersemie-Twister":[21],"to":[22,36,63,65],"generate":[23],"long":[25],"random":[26],"number":[27],"uniformly":[28],"distributed":[29],"sequence":[30],"and":[31,85],"Box-Muller":[33],"transformation":[34],"implementation":[35],"derive":[37],"samples.":[40],"Emphasis":[41],"given":[43],"on":[44],"developing":[45],"high-throughput":[47],"approximation":[48],"unit":[49],"for":[50,55],"die":[51,56],"elementary":[52],"functions":[53],"required":[54],"transformation.":[57],"techniques":[60],"are":[61],"shown":[62],"lead":[64],"solutions":[66],"that":[67],"provide":[68],"four":[69],"samples":[70],"per":[71],"clock,":[72],"which":[73],"in":[74],"turn":[75],"can":[76],"sustain":[77],"throughputs":[78],"of":[79],"584MSps,":[80],"with":[81],"moderate":[82],"clock":[83],"frequency":[84],"hardware":[86],"complexity.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}