By Topic

Random sampling of random processes: Mean-square comparison of various interpolators

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

2 Author(s)
O. Leneman ; Massachusetts Institute of Technology, Lexington, MA, USA ; J. Lewis

This paper compares the relative merits (in the mean-square sense) of the zero-order hold, the exponential hold, and the polygonal hold vs. a linear nonrealizable interpolation procedure. This comparison is done for three sampling schemes; periodic sampling, periodic sampling with skips, and Poisson sampling. General expressions for the mean-square error are given in terms of the second-order statistics of the weakly stationary sampled process and in terms of the statistics associated with the sampling procedure. For purposes of illustration, the sampled process is assumed to be either a wide-sense Markov process or a band-limited white noise process; the results obtained for these cases are plotted and lead to simple conclusions which are of interest in the theory of interpolation.

Published in:

IEEE Transactions on Automatic Control  (Volume:11 ,  Issue: 3 )