Title :
Improved recursive procedures for envelope-constrained filtering
Author :
Zheng, W.X. ; Vo, B. ; Cantoni, A. ; Teo, K.L.
Author_Institution :
Dept. of Math., Univ. of Western Sydney, Kingswood, NSW, Australia
fDate :
30 Apr-3 May 1995
Abstract :
This paper presents new recursive procedures for designing optimum envelope-constrained (EC) filters. Using a constraint transcription technique, the inequality constrained quadratic programming problem associated with EC filtering can be approximated as an unconstrained minimization problem. Two types of optimization methods are developed to solve this unconstrained problem in a recursive adjusting manner. Simulations of the proposed recursive procedures are presented which support the theoretical predictions
Keywords :
convergence of numerical methods; filtering theory; iterative methods; minimisation; quadratic programming; constraint transcription technique; envelope-constrained filtering; inequality constrained quadratic programming problem; optimization methods; recursive procedures; unconstrained minimization problem; Adaptive filters; Algorithm design and analysis; Filtering; Finite impulse response filter; Least squares approximation; Mathematics; Minimization methods; Nonlinear filters; Predictive models; Quadratic programming;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.520403
