DocumentCode
353558
Title
Algebraic theory of optimal filter banks
Author
Jahromi, Omid S. ; Francis, Bruce A. ; Kwong, Raymond H.
Author_Institution
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Volume
1
fYear
2000
fDate
2000
Firstpage
113
Abstract
We approach the problem of characterizing an optimal FIR filter bank from an algebraic point of view. We introduce the concept of majorization ordering to compare the performance of various filter banks in an admissible set L. Using the properties of this ordering, we show that a principal component filter bank is associated with the greatest element in L. A greatest element does not necessarily exist in L hence one has to deal with the closely related notion of a maximal element. We show by construction that a maximal element always exist in L. An interesting result of the presented algebraic theory is that the connection between principal component filter banks and filter banks with maximum coding gain is clearly revealed. In fact, we show that coding gain is a Schur (1973) convex function preserving the order of majorization
Keywords
FIR filters; algebra; channel bank filters; circuit optimisation; digital filters; filtering theory; signal resolution; Schur-convex function; admissible set; algebraic theory; greatest element; majorization ordering; maximal element; maximum coding gain; multiresolution signal decomposition; optimal FIR filter bank; performance comparison; principal component filter bank; Bandwidth; Channel bank filters; Control systems; Distortion; Explosives; Filter bank; Finite impulse response filter; Gain measurement; Signal processing; Signal resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location
Istanbul
ISSN
1520-6149
Print_ISBN
0-7803-6293-4
Type
conf
DOI
10.1109/ICASSP.2000.861878
Filename
861878
Link To Document