  We derive a precise link between series expansions of Gaussian random vectors
in a Banach space and Parseval frames in their reproducing kernel Hilbert
space. The results are applied to pathwise continuous Gaussian processes and a
new optimal expansion for fractional Ornstein-Uhlenbeck processes is derived.
In the end an extension of this result to Gaussian stationary processes with
convex covariance function is established.
