Browsing Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering by Subject "Banach spaces"

Now showing items 1-5 of 5

    • Conference Object  

      A general framework for continuous time power control in time varying long term fading wireless networks 

      Olama, M. M.; Djouadi, S. M.; Charalambous, Charalambos D. (2007)
      In this paper, a general framework for continuous time power control algorithm under time varying long term fading wireless channels is developed. This contrasts most of the power control algorithms introduced in the ...
    • Article  

      Information theoretic bounds for compound MIMO Gaussian channels 

      Denic, S. Z.; Charalambous, Charalambos D.; Djouadi, S. M. (2009)
      In this paper, achievable rates for compound Gaussian multiple-input-multiple-output (MIMO) channels are derived. Two types of channels, modeled in the frequency domain, are considered when: 1) the channel frequency response ...
    • Article  

      Nonlinear estimation for a class of systems 

      Socratous, Y.; Rezaei, F.; Charalambous, Charalambos D. (2009)
      This paper considers nonlinear estimation problems for classes of models, and employs relative entropy to describe the uncertainty classes. Two optimization problems are formulated on general Banach spaces, and their ...
    • Conference Object  

      On optimal performance for linear time-varying systems 

      Djouadi, S. M.; Charalambous, Charalambos D. (2004)
      In this paper we consider the optimal disturbance attenuation problem and robustness for linear time-varying (LTV) systems. This problem corresponds to the standard optimal H ∞ problem for LTI systems. The problem is ...
    • Conference Object  

      Robust capacity for additive colored Gaussian uncertain channels 

      Charalambous, Charalambos D.; Denic, S. Z.; Djouadi, S. M. (2005)
      This paper is concerned with the definition and computation of channel capacity of continuous time additive Gaussian channels, when the channel is subject to uncertainty, the noise power spectral density is known and the ...