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

Minimax Design of Low-Complexity Even-Order Variable Fractional-Delay Filters Using Second-Order Cone Programming

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

1 Author(s)
Tian-Bo Deng ; Dept. of Inf. Sci., Toho Univ., Chiba, Japan

This brief proposes an optimal minimax method for designing even-order finite-impulse-response variable fractional-delay (VFD) digital filters by using the second-order cone programming (SOCP), which minimizes the peak error of the variable-frequency response and yields a true minimax design. To minimize the VFD filter complexity, we also present an algorithm for jointly optimizing all the subfilter orders in the Farrow structure such that all the subfilter orders can be simultaneously optimized for exactly meeting a given upper error bound. A design example is given to demonstrate the high performance and low complexity of the SOCP-based VFD filter.

Published in:

Circuits and Systems II: Express Briefs, IEEE Transactions on  (Volume:58 ,  Issue: 10 )

Date of Publication:

Oct. 2011

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.