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
fDate :
6/1/1999 12:00:00 AM
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;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:19990442