{"id":"https://openalex.org/W2071291134","doi":"https://doi.org/10.1109/icecs.2008.4675125","title":"Information technology applications of statistical nonlinear dynamics","display_name":"Information technology applications of statistical nonlinear dynamics","publication_year":2008,"publication_date":"2008-08-01","ids":{"openalex":"https://openalex.org/W2071291134","doi":"https://doi.org/10.1109/icecs.2008.4675125","mag":"2071291134"},"language":"en","primary_location":{"id":"doi:10.1109/icecs.2008.4675125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs.2008.4675125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Electronics, Circuits and Systems","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/A5062714455","display_name":"Gianluca Setti","orcid":"https://orcid.org/0000-0002-2496-1856"},"institutions":[{"id":"https://openalex.org/I201324441","display_name":"University of Ferrara","ror":"https://ror.org/041zkgm14","country_code":"IT","type":"education","lineage":["https://openalex.org/I201324441"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Gianluca Setti","raw_affiliation_strings":["Circuit Theory and Analog Electronics, University of Ferrara, Italy","Circuit Theor. & Analog Electron., Univ. of Ferrara, Ferrara"],"affiliations":[{"raw_affiliation_string":"Circuit Theory and Analog Electronics, University of Ferrara, Italy","institution_ids":["https://openalex.org/I201324441"]},{"raw_affiliation_string":"Circuit Theor. & Analog Electron., Univ. of Ferrara, Ferrara","institution_ids":["https://openalex.org/I201324441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5062714455"],"corresponding_institution_ids":["https://openalex.org/I201324441"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08022365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.7538999915122986,"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/T10320","display_name":"Neural Networks and Applications","score":0.7538999915122986,"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/T12162","display_name":"Cellular Automata and Applications","score":0.6969000101089478,"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"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.6459000110626221,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.7328751087188721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5786339640617371},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.5176282525062561},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4928727149963379},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4813421666622162},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46904119849205017},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4591687321662903},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.4565564692020416},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.45543015003204346},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.44054824113845825},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4340721368789673},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.43039470911026},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.42881354689598083},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4144755005836487},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.41388773918151855},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40799272060394287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3281368017196655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17150086164474487},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10551086068153381}],"concepts":[{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.7328751087188721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5786339640617371},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.5176282525062561},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4928727149963379},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4813421666622162},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46904119849205017},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4591687321662903},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.4565564692020416},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.45543015003204346},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.44054824113845825},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4340721368789673},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.43039470911026},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.42881354689598083},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4144755005836487},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.41388773918151855},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40799272060394287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3281368017196655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17150086164474487},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10551086068153381},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icecs.2008.4675125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs.2008.4675125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Electronics, Circuits and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unife.it:11392/1738949","is_oa":false,"landing_page_url":"http://hdl.handle.net/11392/1738949","pdf_url":null,"source":{"id":"https://openalex.org/S4306400369","display_name":"Institutional Research Information System University of Ferrara (University of Ferrara)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201324441","host_organization_name":"University of Ferrara","host_organization_lineage":["https://openalex.org/I201324441"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2294335174","https://openalex.org/W2025614924","https://openalex.org/W3145575561","https://openalex.org/W2001275470","https://openalex.org/W2073996508","https://openalex.org/W1591475660","https://openalex.org/W4288910996"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given.":[3],"Recent":[4],"developments":[5],"have":[6,139],"highlighted":[7],"that":[8,90,137],"a":[9,57,72,87,161],"statistical":[10,158],"approach":[11,84],"may":[12],"greatly":[13],"benefit":[14],"the":[15,34,42,55,63,66,69,94,102,105,109,112,132],"study":[16,43],"of":[17,38,44,65,71,74,104,111,134],"discrete-time":[18],"complex":[19],"(chaotic)":[20],"system":[21,113],"(maps).":[22],"In":[23],"this":[24,83],"case,":[25],"in":[26],"fact,":[27],"critical":[28],"dependence":[29],"on":[30,93,123],"initial":[31],"condition,":[32],"probably":[33],"widest":[35],"known":[36],"feature":[37],"chaotic":[39],"behavior,":[40],"prevents":[41],"single":[45],"trajectories":[46,75],"from":[47],"giving":[48],"information":[49],"which":[50,99],"are":[51],"globally":[52],"valid.":[53],"On":[54],"contrary,":[56],"highly":[58],"regular":[59],"behaviour":[60],"exists":[61],"for":[62,101,179],"distribution":[64,110],"points":[67],"describing":[68,108],"evolution":[70,103],"set":[73,133],"at":[76,116],"each":[77,117],"iteration":[78,118],"step.":[79,119],"We":[80,120],"will":[81,142],"formalize":[82],"by":[85,130],"introducing":[86],"theoretical":[88,135,163],"framework":[89,164],"is":[91],"based":[92],"classical":[95],"Perron-Frobenius":[96],"Operator":[97],"(PFO),":[98],"accounts":[100],"probability":[106],"densities":[107],"state":[114],"variable":[115],"then":[121],"focus":[122],"Piecewise":[124],"Affine":[125],"Markov":[126],"(PWAM)":[127],"maps,":[128],"and":[129],"specializing":[131],"tools":[136],"we":[138,141],"introduced,":[140],"show":[143],"how":[144],"such":[145,174],"maps":[146],"can":[147,165],"be":[148,166],"considered":[149],"as":[150,175],"easily":[151],"implementable,":[152],"stochastic":[153],"processes":[154],"generators":[155],"with":[156],"tunable":[157],"features.":[159],"Such":[160],"well-developed":[162],"applied":[167],"to":[168,172],"several":[169],"topics":[170],"related":[171],"IT,":[173],"Spreading":[176],"sequence":[177],"design":[178],"Direct":[180],"Sequences":[181],"Code":[182],"Division,":[183],"Multiple":[184],"Access":[185],"(DS-CDMA),":[186],"EMI":[187],"(Electro-Magnetic":[188],"Interference)":[189],"reduction,":[190],"True":[191],"random":[192],"number":[193],"generation.":[194]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}