Adaptive envelope-constrained filter design

Author

Tseng, Chien Hsun ; Teo, Kok Lay ; Cantoni, Antonio

Author_Institution

Australian Telecommun. Res. Inst., Curtin Univ. of Technol., Perth, WA, Australia

Volume

4

fYear

2000

fDate

2000

Firstpage

85

Abstract

A new type of adaptive scheme was proposed recently for designing a deterministic envelope-constrained (EC) filter such that the generated sequence of filters converges to the optimum filter. Previous results at this level of generality linked convergence only to within a neighborhood of the optimum filter. Based on the adaptive scheme, two new theorems are established in a stochastic environment for which the adaptive EC filter converges in mean square sense and with probability one to the noiseless optimum filter for a fixed step-size and a decreasing sequence of step-sizes, respectively. Numerical examples involving pulse compression Barker-coded signal are studied for solving the EC filtering problem

Keywords

FIR filters; adaptive filters; circuit optimisation; digital filters; EC filtering problem; adaptive envelope-constrained filter design; convergence; decreasing sequence; deterministic envelope-constrained filter; fixed step-size; noiseless optimum filter; pulse compression Barker-coded signal; stochastic environment; Adaptive filters; Additive noise; Australia; Filtering; Finite impulse response filter; Noise figure; Nonlinear filters; Output feedback; Stochastic resonance; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on

Conference_Location

Geneva

Print_ISBN

0-7803-5482-6

Type

conf

DOI

10.1109/ISCAS.2000.858694

Filename

858694