On Tikhonov regularisation

We introduce Bayesian estimation into the Tikhonov regularisation process for recovering functions of high bandwidth from noisy band-limited observations. The method allows for the incorporation of featural constraints and requires the global minimisation of a functional derived from damped pseudospectral approximation.