From Fixed to Adaptive Budget Robust Kernel Adaptive Filtering
Author | : Songlin Zhao |
Publisher | : |
Total Pages | : 122 |
Release | : 2012 |
ISBN-10 | : OCLC:869822153 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book From Fixed to Adaptive Budget Robust Kernel Adaptive Filtering written by Songlin Zhao and published by . This book was released on 2012 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Indeed the issue is how to deal with the trade-off between system complexity and accuracy performance, and an information learning criterion called Minimal Description Length (MDL) is introduced to kernel adaptive filtering. Two formulations of MDL: batch and online model are developed and illustrated by approximation level selection in KRLS-ALD and center dictionary selection in KLMS respectively. The end result is a methodology that controls the kernel adaptive filter dictionary (model order) according to the complexity of the true system and the input signal for online learning even in nonstationary environments.