Estimation of local power spectral densities for non-stationary signals using wavelet transform

We present a new method based on wavelet transform for the estimation of the power spectrum for a class of non-stationary signals arising in the analysis of random media. Using a convergence result for this signal we can reduce the estimation of the power spectrum to the estimation of only two wavelet coefficients.