Efficient determination of a finite set of states for an up-and-down process possessing a practical closure
Autor: | A. Lorencs, V. Plocins |
---|---|
Rok vydání: | 2017 |
Předmět: |
Discrete mathematics
021110 strategic defence & security studies Process state Cumulative distribution function 0211 other engineering and technologies 02 engineering and technology State (functional analysis) Upper and lower bounds Standard deviation Normal distribution Mathematics::Algebraic Geometry Closure (mathematics) Control and Systems Engineering Signal Processing 0202 electrical engineering electronic engineering information engineering Applied mathematics 020201 artificial intelligence & image processing Finite set Software Mathematics |
Zdroj: | Automatic Control and Computer Sciences. 51:224-232 |
ISSN: | 1558-108X 0146-4116 |
DOI: | 10.3103/s0146411617040034 |
Popis: | Conditions at which the up-and-down process with a step greater than 0.5 of the standard deviation of masking noise becomes practically closed on a finite set are investigated, e.g., the sufficient number of states of up-and-down process is determined so that the probability of obtaining other states is practically equal to zero. For this purpose, several lemmas on growth of the cumulative distribution function of standard normal distribution are proved. Formulas for a recursive calculation of the probability of obtaining the state of up-and-down process are obtained. Using them, an upper bound for obtaining other up-and-down process states is given. |
Databáze: | OpenAIRE |
Externí odkaz: |