2013年
Emergence of chaos in transistor circuits evolved towards maximization of approximate signal entropy
2013 8TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA)
- 開始ページ
- 755
- 終了ページ
- 760
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- 出版者・発行元
- IEEE
Chaotic signals have emerging applications which include masking, secure communication and dynamical modeling of biological systems. However, no general methodology for synthesizing chaotic oscillators presently exists. Here, it is shown that chaotic oscillators can be obtained through genetic optimization of the topology of bipolar transistor-based circuits aimed at maximization of approximate signal entropy. A selection of circuits were physically realized and characterized, with features resembling previously-described chaotic oscillators that had been designed by empirical modification of traditional oscillators or implementation of differential equation systems known a-priori to be chaotic. The proposed approach offers a novel means to generate chaotic signal sources without prior topological assumptions, and the emergence of chaos from signal entropy maximization has potential implications for the study of biological neural networks.
- リンク情報
-
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000349789200134&DestApp=WOS_CPL
- URL
- http://www.scopus.com/inward/record.url?eid=2-s2.0-84896381816&partnerID=MN8TOARS
- URL
- http://orcid.org/0000-0002-2532-1674
- ID情報
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- ISSN : 1845-5921
- ORCIDのPut Code : 37534796
- SCOPUS ID : 84896381816
- Web of Science ID : WOS:000349789200134