By Topic

Approximation of locally optimum detector nonlinearities (Corresp.)

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)

The problem of finding a detector nonlinearity that maximizes the efficacy (or asymptotic processing gain) over a class of suboptimal nonlinearities is considered. It is shown that this efficacy maximization problem is essentially the same as the problem of finding the minimum-mean-square-error approximation to the locally optimal detector nonlinearity. This result is compared with some intuitive ideas about suboptimal detection.

Published in:

Information Theory, IEEE Transactions on  (Volume:31 ,  Issue: 6 )