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Information transfer in chaos-based communication.

Murilo S Baptista1, Luis López

  • 1Instituto de Física, Universidade de São Paulo, Caixa Postal 66318, CEP 05315-970 São Paulo, São Paulo, Brazil.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|June 13, 2002
PubMed
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This study introduces a theory for chaos-based communication, defining dynamical channel capacity. It quantifies how much information a dynamical system can transmit, considering its generated information.

Area of Science:

  • Information Theory
  • Dynamical Systems
  • Communication Systems

Background:

  • Chaos theory offers unique properties for secure and efficient communication.
  • Characterizing information transmission in chaotic systems is crucial for practical applications.
  • Existing models may not fully capture the information-generating nature of dynamical systems.

Purpose of the Study:

  • To establish fundamental principles for a theory of chaos-based communication.
  • To define and quantify the 'dynamical channel capacity' of a system.
  • To account for the information generated by the dynamical system itself in capacity calculations.

Main Methods:

  • Developing a theoretical framework for chaos-based communication.
  • Defining the concept of dynamical channel capacity.

Related Experiment Videos

  • Analyzing information flow within dynamical systems.

    • Main Results:

    • A novel theoretical framework for chaos-based communication is presented.
    • The concept of dynamical channel capacity is formally defined.
    • The theory incorporates the information generated by the dynamical system.

    Conclusions:

    • The proposed theory provides a foundation for understanding and designing chaos-based communication systems.
    • Dynamical channel capacity offers a more comprehensive measure of information transmission in these systems.
    • This work paves the way for advanced applications leveraging chaotic dynamics for communication.