Aproximate algorithms for nonlinear filtering of chaos algoritmos de aproximación para filtrado no lineal de caos

Abstract

The paper is dedicated to the description of two approximate methods of non-linear filtering algorithms for signals of Lorenz, hua and Rössler attractors to provide real time filtering solutions for scenarios with low Signal Noise Ratios (SNR). For those cases he method of the Global (Integral) Approximation of the a-posteriori Probability Density Function (PDF) is considered. Some asymptotical solutions are presented as well.

Keywords

• Nonlinear filtering
• Global Approximation
• Probability Density Function
• Attractors
• conditions
• Asymptotical solutions.