Department of Automatic Control and Systems Engineering
Abstract
A new NARMA based smoothing algorithm is introduced for chaotic and non-chaotic time series. The new algorithm employs a cross validation method to determine the smoother structure, requires very little user interaction and can be combined with wavelet thresholding to further enhance the noise reduction. Numerical examples are included to illustrate the application of the new algorithm
