C Conferentia Proceedings
NSC2016-0027 Analysis and Control of Nonlinear Dynamical Systems with Practical Applications

IIR Equalization Based on Complexity Measures in the Context of Chaotic Information Sources

Patrick Franco Coutinho1; Diogo Coutinho Soriano2; Filipe Ieda Fazanaro2; Romis Attux1

1 UNICAMP; 2 UFABC

doi:10.20906/CPS/NSC2016-0027

Resumo

In this work, it was analyzed the use of complexity measures derived from recurrence quantification analysis to solve the problem of blind IIR equalization of FIR channels for chaotic signals. The results show that measures related to the complexity of the ensuing recurrence plot allow perfect equalization when this is structurally feasible.

Palavras-chave: analysis and control of nonlinear dynamical systems with practical applications; channel equalization; modeling; nonlinear dynamics and complex systems; recurrence quantification analysis

Como citar

Patrick Franco Coutinho; Diogo Coutinho Soriano; Filipe Ieda Fazanaro; Romis Attux. “IIR Equalization Based on Complexity Measures in the Context of Chaotic Information Sources”. 6th International Conference on Nonlinear Science and Complexity. NSC2016. 2016. DOI: 10.20906/CPS/NSC2016-0027