the volterra model is widely used for nonlinearity identification in practical applications. in this paper, we employed volterra model to find the nonlinearity relation between electroencephalogram (eeg) signal and the noise that is a novel approach to estimate noise in eeg signal. we show that by employing this method. we can considerably improve the signal to noise ratio by the ratio of at le...

this paper describes a simple, physically-based conceptual model utilizing watershed drainage characteristics for rainfall-runoff simulation. this conceptual physiographic model is essentially based on the work of najafi (2003), which has led to a model compris-ing the main tributary subwatersheds and a single main channel subwatershed. the ki-nematic wave (kw) theory is used to describe flow o...

Following the results of cite{Med}, regarding the Aluthge transform of polynomial matrices, the symbolic computation of the Duggal transform of a polynomial matrix $A$ is developed in this paper, using the polar decomposition and the singular value decomposition of $A$. Thereat, the polynomial singular value decomposition method is utilized, which is an iterative algorithm with numerical charac...

in this paper, we propose to extend the hierarchical bivariatehermite interpolant to the spherical case. let $t$ be an arbitraryspherical triangle of the unit sphere $s$ and  let $u$ be a functiondefined over the triangle $t$. for $kin mathbb{n}$, we consider ahermite spherical interpolant problem $h_k$ defined by some datascheme $mathcal{d}_k(u)$ and which admits a unique solution $p_k$in the ...

Quantum correlations are central to the foundations of quantum physics and form basis technologies. Here, our goal is connect computation: using as a resource for computation - vice versa, test correlations. We derive Bell-type inequalities that capacity states computing Boolean functions experimentally investigate them 4-photon Greenberger-Horne-Zeilinger (GHZ) states. Further, we show how gen...