  New results on uniform convergence in probability for expansions of Gaussian
random processes using compactly supported wavelets are given. The main result
is valid for general classes of nonstationary processes. An application of the
obtained results to stationary processes is also presented. It is shown that
the convergence rate of the expansions is exponential.
