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A method is proposed for creating dictionaries of near-perfect reconstruction wavelets. Choosing a wavelet from a wavelet dictionary is an attractive alternative to customizing a wavelet for a specific task. The method is based on a modified simulated annealing scheme that implements unconstrained minimization. The amount of vanishing moments for the decomposition wavelets was fixed before the iteration...
In this paper, we improve on the slow time-varying partial correlation (STV-PARCOR) model recently suggested by us [2] to include any deterministic interpolator. We then suggest a modification to the on-line filtering algorithm to accomodate the changes. It is believed that the modification will improve on the simulation results as it takes into account the underlying trend of the parameter evolution...
We propose a new scheme for adapting support vector classifiers (SVC) in non-stationary environments. This adaptive SVC (ASVC) relies in interpreting the margin and penalty factor of the SVC as a relevance measure over the samples and on an iterative re-weighted least square (IRWLS) approach for optimizing it, which resembles the RLS filtering for adaptive equalization. The ASVC capabilities are shown...