DocumentCode
1510731
Title
Boundary filter optimization for segmentation-based subband coding
Author
Mertins, Alfred
Author_Institution
Sch. of Electr., Comput. & Telecommun. Eng., Wollongong Univ., NSW, Australia
Volume
49
Issue
8
fYear
2001
fDate
8/1/2001 12:00:00 AM
Firstpage
1718
Lastpage
1727
Abstract
This paper presents boundary optimization techniques for the nonexpansive decomposition of arbitrary-length signals with multirate filterbanks. Both biorthogonal and paraunitary filterbanks are considered. The paper shows how matching moments and orthonormality can be imposed as additional conditions during the boundary filter optimization process. It provides direct solutions to the problem of finding good boundary filters for the following cases: (a) biorthogonal boundary filters with exactly matching moments and (b) orthonormal boundary filters with almost matching moments. With the proposed methods, numerical optimization is only needed if orthonormality and exactly matching moments are demanded. The proposed direct solutions are applicable to systems with a large number of subbands and/or very long filter impulse responses. Design examples show that the methods allow the design of boundary filters with good frequency selectivity
Keywords
audio coding; channel bank filters; circuit optimisation; data compression; image coding; image segmentation; network synthesis; transient response; arbitrary-length signals; audio compression; biorthogonal boundary filters; biorthogonal filterbank; boundary filter optimization; cosine-modulated filterbanks; direct solutions; filter impulse response; frequency selectivity; image compression; matching moments; multirate filterbanks; nonexpansive decomposition; numerical optimization; orthonormal boundary filters; paraunitary filterbank; segmentation-based subband coding; Biomedical signal processing; Design methodology; Frequency; Image coding; Image reconstruction; Image segmentation; Matched filters; Optimization methods; Propagation losses; Signal processing;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.934142
Filename
934142
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