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

Simple item page
dc.contributor.authorPunchalard, R.
dc.contributor.authorLoetwassana, W.
dc.contributor.authorKoseeyaporn, J.
dc.contributor.authorWardkein, P.
dc.date.accessioned2026-08-06T09:57:28Z
dc.date.available2026-08-06T09:57:28Z
dc.date.issued2008-12-01
dc.description.abstractTheoretical 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.
dc.identifier.citation2008 14th Asia Pacific Conference on Communications Apcc 2008, 2008
dc.identifier.other2-s2.0-66149109514
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/2247
dc.source2008 14th Asia Pacific Conference on Communications Apcc 2008
dc.titleStatistical analysis of an unbiased plain gradient algorithm for a constrained adaptive HR notch filter
dc.typeConference Paper

Files

Collections

Research