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

Marginal probability density function of granular quantization error in uniform quantizers

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)
Carbone, P. ; Dipt. di Ingegneria Elettronica e dell''Inf., Perugia Univ., Italy ; Petri, D.

The authors analyze the validity of the uniform model for the marginal probability density function (PDF) of granular quantization error (QE) in a uniform quantizer, subjected to random input signals. Two theorems are proved, which show that the knowledge of the average of such error as a function of input signal average, suffices for the determination of the quantization error PDF (QEPDF). This result is employed to derive simple expressions for the QEPDF in the case of random inputs with uniform, sinusoidal, or Gaussian distributions

Published in:

Information Theory, IEEE Transactions on  (Volume:47 ,  Issue: 3 )

Date of Publication:

Mar 2001

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.