Adaptive nonlinear filtering with the support vector method | IEEE Conference Publication | IEEE Xplore

Adaptive nonlinear filtering with the support vector method


Abstract:

The recently introduced Support Vector Method (SVM) is one of the most powerful methods for training a Radial Basis Function (RBF) filter in a batch mode. This paper prop...Show More

Abstract:

The recently introduced Support Vector Method (SVM) is one of the most powerful methods for training a Radial Basis Function (RBF) filter in a batch mode. This paper proposes a modification of this method for on-line adaptation of the filter parameters on a block-by-block basis. The proposed method requires a limited number of computations and compares well with other adaptive RBF filters.
Date of Conference: 08-11 September 1998
Date Added to IEEE Xplore: 23 April 2015
Print ISBN:978-960-7620-06-4
Conference Location: Rhodes, Greece