Estimación óptima de secuencias caóticas con aplicación en comunicaciones
- Luengo García, David
- Carlos Pantaleón Prieto Zuzendaria
- Luis Ignacio Santamaría Caballero Zuzendaria
Defentsa unibertsitatea: Universidad de Cantabria
Fecha de defensa: 2006(e)ko abendua-(a)k 23
- Fernando Pérez González Presidentea
- Jesús Pérez Arriaga Idazkaria
- Ana Pérez Neira Kidea
- Antonio Artés Rodríguez Kidea
- Joaquín Miguez Arenas Kidea
Mota: Tesia
Laburpena
This Thesis studies the optimal estimation of chaoticsignals generated iterating unidimensional maps and contaminated by additive white Gaussian noise, from the point of view of the two most common frameworks in statistical inference: maximum likelihood (ML) and Bayesian. Due to the high computational cost of optimum estimators, several suboptimal but computationally efficient estimators are proposed, which attain a similar performance as the optimum ones. Additionally, the estimation of the parameters of a chaotic map is analyzed, exploiting the known relation between consecutive samples of the chaotic sequence. Finally, we consider the application of the estimators developed in the design of receivers for two different schemes of chaotic communications: chaotic switching and symbolic or chaotic coding.