Interval Estimates for Signal Processing: Special Purpose Hardware

Interval Estimates for Signal Processing: Special Purpose Hardware Error estimation for the results of signal processing is traditionally based on the assumption that we know the probability distribution of the input signals. In many real-life situations, however, we only know the upper bounds for the signal's error, i.e., we only know the intervals of possible values of the input signal. In such situations, we are interested in knowing the interval of possible values of the output. The corresponding computations are often very computationally intensive; in this paper, we describe a special purpose hardware which can drastically speed up the computation of interval estimates for signal processing. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Reliable Computing Springer Journals

Interval Estimates for Signal Processing: Special Purpose Hardware

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 1999 by Kluwer Academic Publishers
Subject
Mathematics; Numeric Computing; Approximations and Expansions; Computational Mathematics and Numerical Analysis; Mathematical Modeling and Industrial Mathematics
ISSN
1385-3139
eISSN
1573-1340
D.O.I.
10.1023/A:1009909706977
Publisher site
See Article on Publisher Site

Abstract

Error estimation for the results of signal processing is traditionally based on the assumption that we know the probability distribution of the input signals. In many real-life situations, however, we only know the upper bounds for the signal's error, i.e., we only know the intervals of possible values of the input signal. In such situations, we are interested in knowing the interval of possible values of the output. The corresponding computations are often very computationally intensive; in this paper, we describe a special purpose hardware which can drastically speed up the computation of interval estimates for signal processing.

Journal

Reliable ComputingSpringer Journals

Published: Sep 30, 2004

References

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