Paper data
Title:
Nonlinear prediction of infrared data by the Wiener system Author(s): Bernabeu Pablo, Universidad Politécnica de Valencia Vegara Luís, Universidad Politécnica de Valencia Bosch Ignacio, Universidad Politécnica de Valencia Page numbers in the proceedings: Volume I pp 309312 Session: Nonlinear Signal and Systems / Adaptive Methods
Paper abstract
We consider the use of the Wiener system to perform nonlinear prediction. In this paper we propose a technique to retain the simplicity of the linear prediction by including a memoryless nonlinear function. The design of this later is approached from a Bayesian perspective: we look for the conditional mean of the predicted value, given the output of the linear predictor. Two techniques are proposed: the first one makes use of a closed form solution where some higherorder statistics are to be estimated. The second one is a direct sample estimate of the conditional mean given a data training set. The techniques are applied to improve the signal to noise ratio in the automatic detection of fire by infrared signal processing.
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