Statistical analysis of an unbiased plain gradient algorithm for a constrained adaptive HR notch filter

Punchalard, R.; Loetwassana, W.; Koseeyaporn, J.; Wardkein, P.

Statistical analysis of an unbiased plain gradient algorithm for a constrained adaptive HR notch filter

Author(s)

Punchalard, R.

Loetwassana, W.

Koseeyaporn, J.

Wardkein, P.

Date Issued

December 1, 2008

Type

Conference Paper

Abstract

Theoretical analysis of the unbiased plain gradient (UPG) algorithm for a constrained adaptive HR notch Alter (ANF) is presented in this paper. The difference equations for the convergence to the mean of the estimated parameter, estimation bias, and stability bound are derived. It is shown that the UPG provides bias smaller that that of the PG. Computer simulations have been treated to corroborate the theoretical analysis. © 2008 IEICE.

Citation

2008 14th Asia Pacific Conference on Communications Apcc 2008, 2008