By Topic

Analysis of a quasi-Newton adaptive filtering algorithm

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
$31 $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

2 Author(s)
de Campos, M.L.R. ; Dept. Electr., COPPE/UFRJ, Rio de Janeiro, Brazil ; Antoniou, A.

An algorithm for FIR adaptive filters based on the quasi-Newton class of optimization algorithms is analyzed. The results obtained are presented in terms of a series of theorems that demonstrate the stability of the algorithm, and the boundedness and positive definiteness of the estimated autocorrelation matrix of the input signal. Simulation results are them presented for fixed- and floating-point implementation which show that the proposed algorithm has comparable convergence speed and superior robustness relative to other known Newton-type algorithms

Published in:

Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on  (Volume:2 )

Date of Conference:

13-16 Oct 1996