Omnidirectionally Balanced Multiwavelets for Vector Wavelet Transforms
DCC '02 Proceedings of the Data Compression Conference
Context based multiwavelet image coding using SPIHT framework
Machine Graphics & Vision International Journal
Construction of nonseparable multiwavelets for nonlinear image compression
EURASIP Journal on Applied Signal Processing
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Handwritten numeral recognition using multi-wavelets and neural networks
SIP'06 Proceedings of the 5th WSEAS international conference on Signal processing
| Hi-index | 35.68 |
This article deals with multiwavelets, which are a 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 are interested. First, we review material on multiwavelets and their links with multifilter banks and, especially, time-varying filter banks. Then, we have a close look at the problems encountered when using multiwavelets in applications, and we propose new solutions for the design of multiwavelets filter banks by introducing the so-called balanced multiwavelets