By Topic

A class of rank order smoothers

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
$33 $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)
A. Butz ; Northwestern University, Evanston, IL, USA

Smoothers or nonlinear filters that make estimates purely on the basis of rank and temporal order determinations among members of the input data are inherently robust and compatible with VLSI implementations. The classic example is the moving median smoother, but it is possible to define others which have significantly different attributes both in relation to the statistical estimation problem and in relation to hardware implications. Attributes offered in the latter category, which are especially desirable in systolic VLSI, include essentially recursive operation and elimination of the interactions between rank and temporal ordering requirements which are a feature of median smoothers. Experimental results indicate significantly improved response to noisy steps for these smoothers, in comparison to median smoothers of comparable rectangular pulse detection capabilities.

Published in:

IEEE Transactions on Acoustics, Speech, and Signal Processing  (Volume:34 ,  Issue: 1 )