Signal restoration from phase by projections onto convex sets

Abstract

We apply the method of alternating projections onto convex sets to the problem of restoring a signal from the phase of its Fourier transform. A method of improving convergence by adaptively varying a set of relaxation parameters in the restoration algorithm is described. The advantages of using the method of convex projections over other iterative restoration algorithms are discussed and illustrated.