activity
20072016
most citedLinear State space theory in the white noise space setting

2 citations · 3 across the 7 of their papers we have counts for

collaborators

8 papers

math.PR2016

On the equivalence of probability spaces

Daniel Alpay, Palle Jorgensen, David Levanony

For a general class of Gaussian processes , indexed by a sigma-algebra of a general measure space , we give necessary and sufficient conditions f…

math.PR2010

A class of Gaussian processes with fractional spectral measures

Daniel Alpay, Palle Jorgensen, David Levanony

We study a family of stationary increment Gaussian processes, indexed by time. These processes are determined by certain measures sigma (generalized spectral measures), and our foc…

math.PR2010

White noise based stochastic calculus associated with a class of Gaussian processes

Daniel Alpay, Haim Attia, David Levanony

Using the white noise space setting, we define and study stochastic integrals with respect to a class of stationary increment Gaussian processes. We focus mainly on continuous func…

math.PR2009★ 2 cited

Linear State space theory in the white noise space setting

D. Alpay, D. Levanony, A. Pinhas

We study state space equations within the white noise space setting. A commutative ring of power series in a countable number of variables plays an important role. Transfer functio…

math.PR2009★ 1 cited

On the characteristics of a class of Gaussian processes within the white noise space setting

Daniel Alpay, Haim Attia, David Levanony

Using the white noise space framework, we define a class of stochastic processes which include as a particular case the fractional Brownian motion and its derivative. The covarianc…

math.PR2008

Linear stochastic systems: a white noise approach

Daniel Alpay, David Levanony

Using the white noise setting, in particular the Wick product, the Hermite transform, and the Kondratiev space, we present a new approach to study linear stochastic systems, where…