Multidimensional FIR filter bank design using Grobner bases

被引:50
作者
Charoenlarpnopparut, C [1 ]
Bose, NK [1 ]
机构
[1] Penn State Univ, Dept Elect Engn, Spatial & Temporal Signal Proc Ctr, University Pk, PA 16802 USA
来源
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING | 1999年 / 46卷 / 12期
基金
美国国家科学基金会;
关键词
Grobner bases; image compression; multidimensional filter banks;
D O I
10.1109/82.809533
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:1475 / 1486
页数:12
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