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

Probabilistic Error Free Design of Long Fixed-Point Polynomial FIR Predictors

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

3 Author(s)
Tanskanen, J.M.A. ; Ragnar Granit Inst., Tampere Univ. of Technol. ; Hyttinen, J.A.K. ; Dimitrov, V.S.

In this paper, a method for designing long fixed-point polynomial FIR predictors (FPFPs) is proposed. Our method yields filters that perform exact prediction even with short coefficient word lengths. Under ordinary coefficient quantization, prediction capabilities degrade, or may be totally lost. Here, the filters are designed so that the prediction properties are exactly preserved in fixed-point implementations. The algorithm is derived for second degree polynomial prediction using any filter length and integer prediction step. Also some non-integer prediction steps are possible

Published in:

Signal Processing Symposium, 2006. NORSIG 2006. Proceedings of the 7th Nordic

Date of Conference:

7-9 June 2006

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.