DESIGN OF 2-D PERFECT RECONSTRUCTION FILTER BANKS USING TRANSFORMATIONS OF VARIABLES - IIR CASE

Citation
Dbh. Tay et Ng. Kingsbury, DESIGN OF 2-D PERFECT RECONSTRUCTION FILTER BANKS USING TRANSFORMATIONS OF VARIABLES - IIR CASE, IEEE transactions on circuits and systems. 2, Analog and digital signal processing, 43(3), 1996, pp. 274-279
Citations number
23
Categorie Soggetti
Engineering, Eletrical & Electronic
ISSN journal
10577130
Volume
43
Issue
3
Year of publication
1996
Pages
274 - 279
Database
ISI
SICI code
1057-7130(1996)43:3<274:DO2PRF>2.0.ZU;2-6
Abstract
In [1], the authors presented a design technique for 2-channel multidi mensional filter banks. The technique is based on the transformation o f variables and provides the flexibility of controlling the frequency characteristics of the resulting subband filters with ease. Furthermor e, there are several properties of the filters which allow for efficie nt implementation. The transformation functions used in [1] are FIR an d the subband filters are all FIR. In this paper we extend the design technique to yield IIR filters. We emphasize the 2-D diamond subband c ase (with quincunx sampling) but the technique can be used for the par allelogram and diagonally quadrant subband cases as well. The IIR natu re of the filters occurs from the use of IIR transformation functions instead of FIR. Two cases are considered. The first is with zero-phase IIR transformations which yield linear phase subband filters but requ ire noncausal filtering. The second is with nonlinear phase IIR transf ormations which yield nonlinear phase subband filters that can be impl emented in a causal manner.