DocumentCode :
956043
Title :
Results on the factorization of multidimensional matrices for paraunitary filterbanks over the complex field
Author :
Delgosha, Farshid ; Fekri, Faramarz
Author_Institution :
Electr. & Comput. Eng. Dept., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
52
Issue :
5
fYear :
2004
fDate :
5/1/2004 12:00:00 AM
Firstpage :
1289
Lastpage :
1303
Abstract :
This paper undertakes the study of multidimensional finite impulse response (FIR) filterbanks. One way to design a filterbank is to factorize its polyphase matrices in terms of elementary building blocks that are fully parameterized. Factorization of one-dimensional (1-D) paraunitary (PU) filterbanks has been successfully accomplished, but its generalization to the multidimensional case has been an open problem. In this paper, a complete factorization for multichannel, two-dimensional (2-D), FIR PU filterbanks is presented. This factorization is based on considering a two-variable FIR PU matrix as a polynomial in one variable whose coefficients are matrices with entries from the ring of polynomials in the other variable. This representation allows the polyphase matrix to be treated as a one-variable matrix polynomial. To perform the factorization, the definition of paraunitariness is generalized to the ring of polynomials. In addition, a new degree-one building block in the ring setting is defined. This results in a building block that generates all two-variable FIR PU matrices. A similar approach is taken for PU matrices with higher dimensions. However, only a first-level factorization is always possible in such cases. Further factorization depends on the structure of the factors obtained in the first level.
Keywords :
FIR filters; filtering theory; matrix algebra; polynomials; FIR filterbanks; degree-one building block; finite impulse response filterbank; multichannel factorization; multidimensional matrices; paraunitary filterbanks; polyphase matrices factorization; Design methodology; Design optimization; Digital filters; Finite impulse response filter; Image coding; Matrix decomposition; Multidimensional systems; Polynomials; Quantization; Two dimensional displays;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2004.826158
Filename :
1284827
Link To Document :
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