DocumentCode :
867652
Title :
High-speed systolic ladder structures for multidimensional recursive digital filters
Author :
Liu, Xiaojian ; Bruton, Leonard T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
Volume :
44
Issue :
4
fYear :
1996
fDate :
4/1/1996 12:00:00 AM
Firstpage :
1048
Lastpage :
1055
Abstract :
High-speed multidimensional (MD) digital filtering is very useful for real-time video signal processing such as video image coding, bandwidth compression, sampling rate conversion and the enhancement of television signals. We propose a multilevel approach for designing high-speed systolic ladder structures for MD recursive digital filters. Based on appropriately selected 1-D filter structures for each filter dimension (or level), a large variety of MD systolic filter structures may be derived. In particular, we introduce a new 1-D filter structure that proves the most suitable structure in terms of a systolic ladder implementation, because it leads to MD ladder filter structures possessing such important properties as the shortest critical path (for filters without order augmentation), the canonic number of high-level storage registers (e.g., line and frame registers of images), and local interconnectivity
Keywords :
VLSI; ladder filters; multidimensional digital filters; recursive filters; systolic arrays; video signal processing; 1D filter structures; VLSI; bandwidth compression; filter dimension; frame registers; high-level storage registers; high-speed systolic ladder structures; image registers; line registers; multidimensional digital filtering; multidimensional recursive digital filters; multilevel design approach; sampling rate conversion; shortest critical path; television signals enhancement; video image coding; video signal processing; Bandwidth; Digital filters; Filtering; Image coding; Image sampling; Image storage; Multidimensional signal processing; Multidimensional systems; Video compression; Video signal processing;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.492569
Filename :
492569
Link To Document :
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