Title :
Envelope-constrained IIR filter design via Laguerre functions and ℋ∞ optimization methods
Author :
Zang, Z. ; Cantoni, A. ; Teo, K.L.
Author_Institution :
Telecommun. Res. Lab., Curtin Univ. of Technol., Bentley, WA, Australia
Abstract :
Envelope-constrained filtering problem is concerned with the design of a time-invariant filter to process a given input signal such that the output of the filter is guaranteed to be within a prespecified output mask. Using discrete-time Laguerre functions and ℋ∞ optimization techniques, the envelope-constrained IIR filter design problem has been reformulated and solved as an ℋ∞ model matching problem. To illustrate the usefulness of the design method, a numerical example is presented which is concerned with the design of an equalization filter for a digital transmission channel
Keywords :
H∞ optimisation; IIR filters; circuit optimisation; digital communication; discrete time filters; equalisers; filtering theory; series (mathematics); signal processing; telecommunication channels; H∞ model matching problem; H∞ optimization techniques; Laguerre functions; digital transmission channel; discrete-time Laguerre functions; envelope-constrained IIR filter design; equalization filter; input signal processing; output mask; time-invariant filter; Digital filters; Filtering; Finite impulse response filter; IIR filters; Noise shaping; Nonlinear filters; Optimization methods; Pulse shaping methods; Shape; Signal design;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.566982
