Name
Title | ||
|---|---|---|
An LMS adaptive second-order Volterra filter with a zeroth-orderterm: steady-state performance analysis in a time-varying environment |
Abstract | ||
|---|---|---|
This article studies the steady-state performance of the least mean square (LMS) adaptive second-order Volterra filter (SOVF) with a zeroth-order term for Gaussian inputs. The mean-square-error (MSE) criterion is evaluated first. Then, SOV LMS algorithm-based updating equations are derived. Next, the steady-state performance of the recursions is analyzed for a random walk model for the unknown system parameters, and the steady-state excess MSE is evaluated. Finally, the theoretical performance predictions are shown to be in good agreement with simulation results, especially for small step sizes |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/78.747794 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
article study,steady-state performance,SOV LMS,steady-state performance analysis,time-varying environment,mean square,random walk model,steady-state excess MSE,simulation result,Gaussian input,good agreement,theoretical performance prediction | Least squares,Least mean squares filter,Signal processing,Mathematical optimization,Method of steepest descent,Random walk,Control theory,Zeroth law of thermodynamics,Gaussian,Adaptive filter,Mathematics | Journal |
Volume | Issue | ISSN |
47 | 3 | 1053-587X |
Citations | PageRank | References |
4 | 0.45 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Sayadi | 1 | 9 | 1.67 |
| Farhat Fnaiech | 2 | 53 | 5.75 |
| Mohamed Najim | 3 | 149 | 32.29 |