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

Optimal Mean-Square Noise Benefits in Quantizer-Array Linear Estimation

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)
Patel, A. ; Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA ; Kosko, B.

A new theorem shows that additive quantizer noise decreases the mean-squared error of threshold-array optimal and suboptimal linear estimators. The initial rate of this noise benefit improves as the number of threshold sensors or quantizers increases. The array sums the outputs of identical binary quantizers that receive the same random input signal. The theorem further shows that zero-symmetric uniform quantizer noise gives the fastest initial decrease in mean-squared error among all finite-variance zero-symmetric scale-family noise. These results apply to all bounded continuous signal densities and all zero-symmetric scale-family quantizer noise with finite variance.

Published in:

Signal Processing Letters, IEEE  (Volume:17 ,  Issue: 12 )

Date of Publication:

Dec. 2010

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.