Abstract: Continuous wavelet transforms of multivariable vector function spaces are discussed. In the weak topology we get the reconstruction formulas of the continuous wavelet transforms of ...
Understanding how brains process sensory signals in natural environments is one of the key goals of twenty-first century neuroscience. While brain imaging and invasive electrophysiology will play key ...
In fitting regression models, data analysts must often choose a model based on several candidate predictor variables which may influence the outcome. Most analysts either assume a linear relationship ...
Abstract: This chapter introduces two types of practical multivariable controllers. These controllers are capable of tracking step reference signals and rejecting low frequency disturbances. The ...
1 Institute of Mathematics, University of Lübeck, Lübeck, Germany 2 Institute of Mathematics, National Academy of Sciences of Ukraine, Kyiv, Ukraine This paper ...
The class of multivariate Lévy-driven autoregressive moving average (MCARMA) processes, the continuous-time analogs of the classical vector ARMA processes, is shown to be equivalent to the class of ...
A multivariable function is a function of more than one variable. For example, if $f(x,y)$ is a function of two variables $x$ and $y$, then it is a multivariable ...
This is a preview. Log in through your library . Abstract For high dimensional problems, such as approximation and integration, one cannot afford to sample on a grid because of the curse of ...
Background: Observational studies have indicated a potential association between thyroid dysfunction and the risk of sudden sensorineural hearing loss (SSNHL). However, the precise causal relationship ...
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