Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
561821 | Signal Processing | 2009 | 6 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
N. Kalyanasundaram, Abhishek Jindal, Anindya Gupta,