Title :
Balanced multiwavelets
Author :
Lebrun, J?©r?´me ; Vetterli, Martin
Author_Institution :
Dept. of Electr. Eng., Swiss Fed. Inst. of Technol., Lausanne, Switzerland
Abstract :
This paper deals with multiwavelets which are a generalization of wavelets in the context of multirate filter banks and their applications to signal processing and especially compression. By their inherent structure, multiwavelets are fit for processing multi-channel signals. First, we recall some general results on multiwavelets and the convergence of the iterated matrix product. Then, we define under what conditions we can apply systems based on multiwavelets to one-dimensional signals in a simple way. That means we give some natural and simple conditions that should help in the design of new multiwavelets for signal processing. Finally, we provide some tools in order to construct multiwavelets with the required properties, the so-called `balanced multiwavelets´
Keywords :
band-pass filters; convergence of numerical methods; data compression; filtering theory; iterative methods; matrix multiplication; signal processing; transform coding; wavelet transforms; balanced multiwavelets; convergence; iterated matrix product; multichannel signals; multirate filter banks; one-dimensional signals; signal compression; signal processing; Biomedical signal processing; Convergence; Eigenvalues and eigenfunctions; Equations; Filter bank; Finite impulse response filter; Fourier transforms; Interpolation; Robustness; Signal processing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.599579