DocumentCode
1256393
Title
Structural sub-band decomposition of sequences and its applications in signal processing
Author
Mitra, S.K. ; Heute, U.
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Volume
146
Issue
3
fYear
1999
fDate
6/1/1999 12:00:00 AM
Firstpage
109
Lastpage
123
Abstract
The authors present a tutorial paper in which they review the concept of structural sub-band decomposition of sequences, a generalisation of polyphase decomposition. The idea of using a very simple analysis-synthesis structure allows for computational efficiency. It is applicable both for signals and for systems, which may thus be designed and realised advantageously. The use of such decomposition is shown, in terms of theory and applications, for transform-based spectral analysis, FIR filter design and implementation, and adaptive filtering. Advantages are demonstrated for cases of narrow-band signals and systems
Keywords
FIR filters; adaptive filters; adaptive signal processing; filtering theory; image processing; sequences; signal synthesis; spectral analysis; transforms; FIR filter design; FIR filter implementation; adaptive filtering; analysis-synthesis structure; computational efficiency; image processing; narrow-band signals; narrow-band systems; polyphase decomposition; sequences; signal processing; structural sub-band decomposition; transform-based spectral analysis; tutorial;
fLanguage
English
Journal_Title
Vision, Image and Signal Processing, IEE Proceedings -
Publisher
iet
ISSN
1350-245X
Type
jour
DOI
10.1049/ip-vis:19990442
Filename
799040
Link To Document