Cart (Loading....) | Create Account
Close category search window

Continuous-time recursive least-squares algorithms

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)
Keh-Chiarng Huarng ; Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan ; Yeh, C.-C.

Two continuous-time recursive least-squares (RLS) algorithms are derived in this work in a unified approach, one for the Gramm-Schmidt orthogonalization (GSO) of multiple signals and the other for the lattice filter with time-shifted data. The GSO algorithm is derived in the continuous-time domain directly in the sense of the exact minimization of integral-squared-error. Then, the lattice algorithm can be obtained by applying the developed GSO to the updates of the forward and backward predictions of time-shifted data. The two algorithms are highly modular and use the same kind of module. Unlike the discrete-time RLS algorithms, no extra parameters are required to link the modules, and each module performs independently a standard order-one continuous-time RLS weight update using its present local information of the inputs and the feedback of the output

Published in:

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on  (Volume:39 ,  Issue: 10 )

Date of Publication:

Oct 1992

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.