Environment Data is not always stable or stationary over time or space and is frequently subjected to sustained or cyclical change to the affecting factors. These concepts will help us understand the ...

Abstract: The problem of estimating the frequency of a single sinusoid observed in additive, white, Gaussian noise is addressed. An explicit, sample-autocorrelation-function-based, approximate maximum ...

When regression is performed on time series data, the errors may not be independent. Often errors are autocorrelated; that is, each error is correlated with the error ...

Abstract: In this paper the problem of generating a stationary band-limited Gaussian random vector with arbitrary complex autocorrelation by the inverse discrete Fourier transform (IDTF) algorithm is ...

The fractal branching vasculature within soft tissues and the mathematical properties of the branching system influence a wide range of important phenomena from blood velocity to ultrasound ...