Title :
Multidimensional FIR filter bank design using Grobner bases
Author :
Charoenlarpnopparut, Chalie ; Bose, N.K.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
fDate :
12/1/1999 12:00:00 AM
Abstract :
A multivariate polynomial matrix factorization algorithm is introduced and discussed. This algorithm and another algorithm for computing a globally minimal generating matrix of the syzygy of solutions associated with a polynomial matrix are both associated with a zero-coprimeness constraint that characterizes perfect-reconstruction filter banks. Generalizations, as well as limitations of recent results which incorporate the perfect reconstruction as well as the linear-phase constraints, are discussed with several examples and counterexamples. Specifically, a Grobner basis-based proof for perfect reconstruction with linear phase is given for the case of two-band multidimensional filter banks, and the algorithm is illustrated by a nontrivial design example. Progress and bottlenecks in the multidimensional multiband case are also reported
Keywords :
FIR filters; channel bank filters; image reconstruction; linear phase filters; matrix decomposition; multidimensional digital filters; polynomial matrices; Grobner basis; design; globally minimal generating matrix; image compression; linear-phase filter; multidimensional FIR filter bank; multivariate polynomial matrix factorization algorithm; perfect reconstruction; syzygy; zero-coprimeness constraint; Algorithm design and analysis; Character generation; Filter bank; Finite impulse response filter; Helium; Image coding; Image reconstruction; Multidimensional systems; Polynomials; Signal processing algorithms;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on