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...
We review spectral analysis and its application in inference for stationary processes. As can be see...
An orthogonal basis consistent with transient random phenomena is proposed and applied to market dat...
An expression for the spectral density of the impulse process s(t) = {if236-1} is derived under the ...
Spectral analysis of acoustic data is a common analytical technique with which phoneticians have amp...
The article deals with a non‐linear method of correlation function and spectrum power density estima...
When the correlation theory is considered for the processes with random stationary increments, Yaglo...
summary:The irregularity coefficient is one of the numerical characteristics of the spectral bandwit...
The methods of spectral analysis based on the use of any model to describe the signal are considered...
This is the first of a series of papers treating randomly sampled random processes. Spectral analysi...
The estimation of spectra of random stationary processes is an important part of the statistics of r...
In this paper we suggest a new discrete spectroscopy for analysis of random signals and fluctuations...
A concise description of the correlation theory for cyclostationary random signals is given. ...
International audienceIn numerous applications data are observed at random times and an estimated gr...
The possibility of simulation of trend of a time series as a spline of third-order with a random num...
An interesting class of non-Gaussian stationary processes is obtained when in the harmonics of a sig...
We review spectral analysis and its application in inference for stationary processes. As can be see...
An orthogonal basis consistent with transient random phenomena is proposed and applied to market dat...
An expression for the spectral density of the impulse process s(t) = {if236-1} is derived under the ...
Spectral analysis of acoustic data is a common analytical technique with which phoneticians have amp...
The article deals with a non‐linear method of correlation function and spectrum power density estima...
When the correlation theory is considered for the processes with random stationary increments, Yaglo...
summary:The irregularity coefficient is one of the numerical characteristics of the spectral bandwit...
The methods of spectral analysis based on the use of any model to describe the signal are considered...
This is the first of a series of papers treating randomly sampled random processes. Spectral analysi...
The estimation of spectra of random stationary processes is an important part of the statistics of r...
In this paper we suggest a new discrete spectroscopy for analysis of random signals and fluctuations...
A concise description of the correlation theory for cyclostationary random signals is given. ...
International audienceIn numerous applications data are observed at random times and an estimated gr...
The possibility of simulation of trend of a time series as a spline of third-order with a random num...
An interesting class of non-Gaussian stationary processes is obtained when in the harmonics of a sig...
We review spectral analysis and its application in inference for stationary processes. As can be see...
An orthogonal basis consistent with transient random phenomena is proposed and applied to market dat...
An expression for the spectral density of the impulse process s(t) = {if236-1} is derived under the ...