DocumentCode :
302781
Title :
Applications of discrete-time Laguerre networks to envelope constrained filter design
Author :
Zang, 2. ; Vo, B. ; Cantoni, A. ; Teo, K.L.
Author_Institution :
Australian Telcommun. Res. Inst., Curtin Univ. of Technol., Bentley, WA, Australia
Volume :
3
fYear :
1996
fDate :
7-10 May 1996
Firstpage :
1363
Abstract :
The envelope constrained (EC) filtering problem is concerned with the design of a filter with minimum gain to white input noise and with a response to a given signal that fits into a prescribed envelope. Using the discrete-time orthonormal Laguerre network, the EC filtering problem is posed as a quadratic programming (QP) problem with affine inequality constraints. An iterative algorithm for solving this QP problem is proposed which serves as a basis for the derivation of adaptive algorithms for applications where the parameters of the underlying signal model are either not known or varying with time
Keywords :
adaptive filters; adaptive signal processing; digital filters; discrete time filters; iterative methods; quadratic programming; white noise; adaptive algorithms; affine inequality constraints; discrete-time orthonormal Laguerre network; envelope constrained filter design; envelope constrained filtering; iterative algorithm; minimum gain; quadratic programming; sampling period; signal model parameters; time varying parameters; white input noise; Australia; Filtering; Finite impulse response filter; Noise figure; Noise shaping; Pulse shaping methods; Quadratic programming; Shape; Signal design; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1520-6149
Print_ISBN :
0-7803-3192-3
Type :
conf
DOI :
10.1109/ICASSP.1996.543680
Filename :
543680
Link To Document :
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