By Topic

Convergence condition of adaptive algorithm of nonlinear adaptive digital filter

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
M. Kobayashi ; Dept. of Inf. & Comput. Sci., Ibaraki Univ., Japan ; Y. Itoh ; J. Okello

In this brief, we consider the adaptive algorithm and the convergence condition of the nonlinear adaptive digital filter (ADF) that has a general transfer function. The adaptive algorithm is based on the orthogonality principle, and the updating value of the algorithm is the correlation of the input signal to the weights and the estimation error. The sufficient condition of the unknown system for which the weight vector of the ADF converges to the weight vector of the unknown system is derived

Published in:

IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing  (Volume:46 ,  Issue: 8 )