Balanced multiwavelets theory and design

Balanced multiwavelets theory and design

This correspondence deals with multiwavelets which are a recent generalization of wavelets in the context of time-varying lter banks and with their applications to signal processing and especially compression. By their inherent structure, multiwavelets are t for processing multi-channel signals. This is the main issue we will be interested in here. The outline of the paper is as follow. First, ...

Balanced Multiwavelets Theory and Design - Signal Processing, IEEE Transactions on

This correspondence deals with multiwavelets, which are a recent generalization of wavelets in the context of time-varying filter banks and with their applications to signal processing and especially compression. By their inherent structure, multiwavelets are fit for processing multichannel signals. This is the main issue in which we will be interested here. The outline of the correspondence is...

High-order balanced multiwavelets: theory, factorization, and design

This paper deals with multiwavelets and the different properties of approximation and smoothness associated with them. In particular, we focus on the important issue of the preservation of discrete-time polynomial signals by multifilterbanks. We introduce and detail the property of balancing for higher degree discrete-time polynomial signals and link it to a very natural factorization of the re...

Balanced multiwavelets

This paper deals with multiwavelets which are a recent generalization of wavelets in the context of multirate lter banks and their applications to signal processing and especially compression. By their inherent structure, multiwavelets are t for processing multi-channel signals. First, we will recall some general results on multiwavelets and the convergence of the iterated matrix product. Then,...

Image Compression Using Balanced Multiwavelets