Upper bounds are constructed for minimax risk in the problem of estimating unknown pseudoperiodic vector function observed against background stationary Gaussian noise with spectral density that satisfies local version Muckenhoupt condition.

In the popular deconvolution problem, the goal is to estimate a curve f from data that only allow direct estimation of another curve g, the convolution of f and a so-called error density. Unlike the standard assumption in deconvolution, we consider a more general setting where the characteristic function of the error density can have zeros. This problem is important as the characteristic functi...

Wistar strain albino rats of either sex were subjected to acute noise stress (3000 Hz at > 97 dB) for 30 minutes. Carbon clearance test was conducted in noise stressed animals immediately after the stress period. Significant (P < 0.001) increase of the clearance constant K was observed in stressed animals compared to the controls, indicating increased phagocytic activity of the reticuloendothel...

Petroleum (crude oil) is one of the most important resources of energy and its demand and consumption is growing while it is a non-renewable energy resource. Hence forecasting of its demand is necessary to plan appropriate strategies for managing future requirements. In this paper, three types of time series methods including univariate Seasonal ARIMA, Winters forecasting and Transfer Function-...

blind source separation technique separates mixed signals blindly without any information on the mixing system. in this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. in these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. in order to evalu...