Published August 1, 2016 | Version v1
Journal article

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

  • 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/142/1/012027

Additional details

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