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 language | English |
|---|---|
| Pages (from-to) | 85-88 |
| Journal | Proceedings - IEEE International Symposium on Circuits and Systems |
| Volume | 4 |
| Publication status | Published - 3 Dec 2000 |
| Externally published | Yes |
| Event | Proceedings of the IEEE 2000 Internaitonal Symposium on Circuits and Systems - Geneva, Switz Duration: 28 May 2000 → 31 May 2000 |
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Adaptive envelope-constrained filter design. / Tseng, Chien Hsun; Teo, Kok Lay; Cantoni, Antonio.
In: Proceedings - IEEE International Symposium on Circuits and Systems, Vol. 4, 03.12.2000, p. 85-88.Research output: Contribution to journal › Article
TY - JOUR
T1 - Adaptive envelope-constrained filter design
AU - Tseng, Chien Hsun
AU - Teo, Kok Lay
AU - Cantoni, Antonio
PY - 2000/12/3
Y1 - 2000/12/3
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0033682309&partnerID=8YFLogxK
M3 - Article
VL - 4
SP - 85
EP - 88
JO - Proceedings - IEEE International Symposium on Circuits and Systems
JF - Proceedings - IEEE International Symposium on Circuits and Systems
SN - 0271-4310
ER -