Please use this identifier to cite or link to this item:
|Title:||Steady-state performance analysis for adaptive filters with error nonlinearities|
|Authors:||Lin, B;He, R;Song, L;Wang, B|
|subject:||Adaptive Filters;Mean-Square Error;Steady-State Analysis;Taylor Series Expression;Tracking Performance|
|Description:||A unified approach to the steady-state mean square error (MSE) and tracking performance analyses for real and complex adaptive filtes with error nonlinearities is developed. Some general closed-form analytical expressions for the steady-state performances are given. Our analyses are based on Taylor series expansion and and so-called complex Brandwood-form series expansion (BSE). Under these general explicit expressions, some well-known adaptive filters can be viewed as special cases. In addition, the closed-form analytical expressions for the steady-state performance for real and complex least-mean p-power (LMP) algorithm with different choices of parameter p are also given. A mass of simulations show the accuration of our analyses. ©2009 IEEE.|
|Standard no:||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2009, p. 3093-3096|
|Appears in Collections:||Department of Anatomy|
Files in This Item:
Click on the URI links for accessing contents.
Items in HannanDL are protected by copyright, with all rights reserved, unless otherwise indicated.