The stochastic linearization technique as applied to the SDOF system is re-examined. Two standard procedures associated with the stochastic linearization, widely adopted in the literature, are shown to be erroneous. Two new procedures to correct the errors made in previous works are introduced. To g
Error reduction techniques in digital stochastic computers
โ Scribed by A.J. Miller; A.W. Brown; P. Mars
- Book ID
- 103896807
- Publisher
- Elsevier Science
- Year
- 1977
- Tongue
- English
- Weight
- 416 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0378-4754
No coin nor oath required. For personal study only.
โฆ Synopsis
Two new techniques
for improving accuracy in digital stochastic computing systems are presented.
Simple circuits based on a theory of negative correlation are shown to provide significant error reduction.
The fundamental problem of drift in digital stochastic computing circuits is considered and adesign technique is developed for the synthesis of stochastic integrators with reduced drift characteristics.
๐ SIMILAR VOLUMES
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The main aim of the paper is to provide the generalized stochastic perturbation technique based on the classical Taylor expansion with a single random variable. The main problem discussed below is an application of this expansion to the solution of various partial differential equations with random