Signal-adapted recursive interpolating wavelet packets

In this work, recursive interpolating wavelet packets with shape parameter vectors are constructed and the parameter-adaptive decomposition algorithms are presented, which are based on the subband coding gain. Unlike the prev ious structure-adaptive one in which every node employs the same pair of fi lters, the shape parameter vectors of every node are signal-adaptively sele cted in our approaches, thus an adaptive decomposition with the optimal par ameter vectors is obtained. Moreover, the approach resolves the design of t wo-hand interpolating principal component filter banks. The experiment resu lts show that the presented approaches can markedly improve the coding gain .