Title :
Wavelets and perfect reconstruction subband coding with causal stable IIR filters
Author :
Basu, Sankar ; Chiang, Chen-Huei ; Choi, Han Mook
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Stevens Inst. of Technol., Hoboken, NJ, USA
fDate :
1/1/1995 12:00:00 AM
Abstract :
We show for the first time that it is possible to have a large family of perfect reconstruction subband coding filter banks, which are causal and IIR both at the analysis and at the synthesis ends. Complete parametrization of such classes of filters leading to design methods are given. Parametrizations in frequency domain terms as well as in terms of state space descriptions of filters are provided for better numerical implementation of design methods. The development is valid for two-band as well as for multiband subband coding schemes. The iterated filter banks are shown to give rise to a new family of biorthogonal version of continuous wavelets, the scaled and dilated version of which represents arbitrary square integrable signals. Dilation factors larger than two are implicit in the development resulting from the fact that we consider multiband subband coding schemes
Keywords :
IIR filters; digital filters; encoding; filtering theory; frequency-domain analysis; stability; state-space methods; wavelet transforms; biorthogonal version; causal stable IIR filters; continuous wavelets; design methods; dilation factors; iterated filter banks; multiband subband coding schemes; numerical implementation; perfect reconstruction subband coding; scaled dilated version; state space descriptions; two-band coding schemes; wavelet transforms; Continuous wavelet transforms; Design methodology; Filter bank; Finite impulse response filter; Frequency domain analysis; IIR filters; Image coding; Image reconstruction; Senior members; State-space methods;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on