Article ID Journal Published Year Pages File Type
561821 Signal Processing 2009 6 Pages PDF
Abstract

The upper and lower bounds for the H∞ norm of the quasi-Newton (QN) family of adaptive filtering algorithms are obtained. A simulation study of the behaviour of the bounds with respect to the iteration order and the weight-vector dimension for a practical input data model reveals that the QN family is quite robust against modelling errors and errors due to the uncertainty in the initial weight-vector assumption.

Related Topics
Physical Sciences and Engineering Computer Science Signal Processing
Authors
, , ,