Statistical Analysis and Design of Continuous-Discrete Chaos Generators
Summary :
This paper treats the systematic design of chaos generators which are capable of generating continuous-time signals with prescribed probability density function and power density spectra. For a specific signal model a statistical analysis is performed such that the inverse problem, i. e. the calculation of the model parameters from prescribed signal characteristics, can be solved. Finally from the obtained model parameters and the model structure the signal generating system is constructed. The approach is illustrated by several examples.
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- IEICE TRANSACTIONS on Fundamentals Vol.E82-A No.9 pp.1762-1768
- Publication Date
- 1999/09/25
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- Type of Manuscript
- Special Section PAPER (Special Section on Nonlinear Theory and Its Applications)
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Alexander L. BARANOVSKI, Wolfgang SCHWARZ, "Statistical Analysis and Design of Continuous-Discrete Chaos Generators" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 9, pp. 1762-1768, September 1999, doi: .
Abstract: This paper treats the systematic design of chaos generators which are capable of generating continuous-time signals with prescribed probability density function and power density spectra. For a specific signal model a statistical analysis is performed such that the inverse problem, i. e. the calculation of the model parameters from prescribed signal characteristics, can be solved. Finally from the obtained model parameters and the model structure the signal generating system is constructed. The approach is illustrated by several examples.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_9_1762/_p
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@ARTICLE{e82-a_9_1762,
author={Alexander L. BARANOVSKI, Wolfgang SCHWARZ, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Statistical Analysis and Design of Continuous-Discrete Chaos Generators},
year={1999},
volume={E82-A},
number={9},
pages={1762-1768},
abstract={This paper treats the systematic design of chaos generators which are capable of generating continuous-time signals with prescribed probability density function and power density spectra. For a specific signal model a statistical analysis is performed such that the inverse problem, i. e. the calculation of the model parameters from prescribed signal characteristics, can be solved. Finally from the obtained model parameters and the model structure the signal generating system is constructed. The approach is illustrated by several examples.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - Statistical Analysis and Design of Continuous-Discrete Chaos Generators
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1762
EP - 1768
AU - Alexander L. BARANOVSKI
AU - Wolfgang SCHWARZ
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 1999
AB - This paper treats the systematic design of chaos generators which are capable of generating continuous-time signals with prescribed probability density function and power density spectra. For a specific signal model a statistical analysis is performed such that the inverse problem, i. e. the calculation of the model parameters from prescribed signal characteristics, can be solved. Finally from the obtained model parameters and the model structure the signal generating system is constructed. The approach is illustrated by several examples.
ER -
English
