DocumentCode :
937351
Title :
Min- max linear estimation of band-limited sequences from noisy observations---A deterministic approach
Author :
Rege, Kiran M.
Volume :
29
Issue :
6
fYear :
1983
fDate :
11/1/1983 12:00:00 AM
Firstpage :
902
Lastpage :
909
Abstract :
The representation of discrete-time waveforms as finite-energy sequences is a useful mathematical abstraction. A special class of finite-energy sequences, of particular interest to communication theorists, is the class of band-limited sequences. A linear estimation of technique for these sequences is presented. The observations are assumed to be corrupted by the components of a finite-energy, band-limited noise sequence not necessarily band-limited to the same frequencies as the signal sequence. The error metric for the estimation errors is assumed to be the energy in a linear functional of the error components, and the error-criterion, by which the merit of an estimation scheme is judged, is the maximal error over a class of band-limited and energy-constrained signal and noise sequences. An interesting finding is that the min-max estimation schemes described here have a structure similar to that of the familiar minimum mean-square error (MMSE) schemes which are designed to minimize some average error.
Keywords :
Band-limited signals; Minimax estimation; Sequence estimation; Autocorrelation; Estimation error; Estimation theory; Extrapolation; Frequency; Hilbert space; Iterative algorithms; Signal design; Stochastic processes; Wave functions;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1983.1056756
Filename :
1056756
Link To Document :
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