We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Eigenvalue Estimates and Mutual Information for the Linear Time-Varying Channel

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)
Farrell, B. ; Lehrstuhl fur Theor. Informationstechnik, Tech. Univ. Munchen, Munich, Germany ; Strohmer, T.

We consider linear time-varying channels with additive white Gaussian noise. For a large class of such channels we derive rigorous estimates of the eigenvalues of the correlation matrix of the effective channel in terms of the sampled time-varying transfer function and, thus, provide a theoretical justification for a relationship that has been frequently observed in the literature. We then use this eigenvalue estimate to derive an estimate of the mutual information of the channel. Our approach is constructive and is based on a careful balance of the tradeoff between approximate operator diagonalization, signal dimension loss, and accuracy of eigenvalue estimates.

Published in:

Information Theory, IEEE Transactions on  (Volume:57 ,  Issue: 9 )