Title :
Structural subband decomposition: a new concept in digital signal processing
Author :
Mitra, Sanjit K.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Abstract :
This paper introduces the concept of structural subband decomposition of sequences, a generalization of the polyphase decomposition of sequences, and outlines a number of applications of this concept, such as efficient FIR filter design and implementation, adaptive filtering, and fast computation of discrete transforms
Keywords :
FIR filters; adaptive filters; adaptive signal processing; filtering theory; sequences; transforms; FIR filter design; FIR filter implementation; adaptive filtering; digital signal processing; discrete transforms; fast algorithms; fast computation; polyphase decomposition; sequences; structural subband decomposition; Adaptive filters; Application software; Delay; Design engineering; Digital signal processing; Discrete transforms; Finite impulse response filter; Least squares approximation; Matrix decomposition; Signal design;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.598865
