Modelling the Spectrum of Potency a Stationary Random Process in the Form of Spline First Order at the Random Number of Data in Instant of Time
Creators
- 1. Associate Professor, National Research Tomsk Polytechnic University, Lenin Avenue 30, Tomsk 634050 (Russian Federation)
- 2. Student, National Research Tomsk Polytechnic University, Lenin Avenue 30, Tomsk 634050 (Russian Federation)
Description
The spectrum of potency as same the function of correlation is one of the most important characteristic of the second process random order. The spectrum of potency allows to judge about, that structure of process gives opportunity to take estimation of spectrum composition of useful signals and hindrances, allows to produce synthesis (reconstruction) the signals and to build filters and to obtain the estimates filtration. The purpose of this presenting work is modeling of process random stationary potency spectrum by random dates number in measurement moments. Using by probability theory methods and mathematical statistics was derived unbiased estimator of the potency spectrum in the form of spline first order, and were researched statistic characteristics estimation. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1757-899X/142/1/012027Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series. Materials Science and Engineering (Online)
- Journal Volume
- 142
- Journal Issue
- 1
- Journal Page Range
- [7 p.]
- ISSN
- 1757-899X
Conference
- Title
- 7. international scientific practical conference on innovative technologies in engineering
- Dates
- 19-21 May 2016
- Place
- Yurga (Russian Federation)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 49071224
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COMPUTERIZED SIMULATION; CORRELATIONS; FILTERS; FILTRATION; FUNCTIONS; PROBABILITY; RANDOMNESS; SIGNALS; SPECTRA; STATISTICS; SYNTHESIS
- Descriptors DEC
- MATHEMATICS; SEPARATION PROCESSES; SIMULATION