DocumentCode :
1056324
Title :
Adaptive McClellan transformations for quincunx filter banks
Author :
Shapiro, Jerome M.
Author_Institution :
David Sarnoff Res. Center, Princeton, NJ, USA
Volume :
42
Issue :
3
fYear :
1994
fDate :
3/1/1994 12:00:00 AM
Firstpage :
642
Lastpage :
648
Abstract :
A technique is developed for the design of 2-D nonseparable two-channel filter banks for a quincunx sampling lattice, where the isopotentials of the frequency response can be optimized and adapted to the input signal´s statistics. By employing known odd-length symmetric linear phase filter banks as the l-D prototype filters for 2-D filters parameterized by the McClellan transformation, conditions are derived such that the resulting 2-D two-channel filter bank retains the perfect-reconstruction or aliasing-free properties of the 1-D prototype two-channel filter bank. A particular two-parameter transformation function is developed that has sufficient flexibility to adapt its orientation in any direction and whose optimization involves a simple constrained least-squares problem in which the feasible set lies within a circle. The results have practical applications in many areas of image and video processing where multirate filter banks are used
Keywords :
adaptive filters; delay circuits; filtering and prediction theory; frequency response; image processing; least squares approximations; two-dimensional digital filters; video signals; 2-D nonseparable filter banks; adaptive McClellan transformations; aliasing free properties; constrained least-squares problem; frequency response; image processing; input signal statistics; isopotentials; l-D prototype filters; linear phase filter banks; multirate filter banks; odd-length symmetric filter; optimization; perfect reconstruction filters; quincunx filter banks; quincunx sampling lattice; two-channel filter banks; two-parameter transformation function; video processing; Constraint optimization; Design optimization; Filter bank; Frequency response; Lattices; Nonlinear filters; Prototypes; Sampling methods; Signal design; Statistics;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.277856
Filename :
277856
Link To Document :
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