Abstract

This Letter presents a new approach to time-series modelling using the support vector machines (SVM). Although the γ-filter can provide stability in several time-series models, the SVM is proposed here to provide robustness in the estimation of the γ-filter coefficients. Examples in chaotic time-series prediction and channel equalization show the advantages of the joint SVM γ-filter.

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