Adaptive envelope-constrained filter design

Chien Hsun Tseng, Kok Lay Teo, Antonio Cantoni

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

A new type of adaptive scheme is 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 example involving pulse compression Barker-coded signal is studied for solving the EC filtering problem.

Original languageEnglish
Pages (from-to)85-88
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume4
Publication statusPublished - 3 Dec 2000
Externally publishedYes
EventProceedings of the IEEE 2000 Internaitonal Symposium on Circuits and Systems - Geneva, Switz
Duration: 28 May 200031 May 2000

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