Title :
Recursive two-dimensional signal reconstruction from linear system input and output magnitudes
Author :
Quatieri, Thomas F.
Author_Institution :
Massachusetts Institute of Technology, Lexington, MA
fDate :
5/1/1981 12:00:00 AM
Abstract :
A recursive algorithm is presented for reconstructing a two-dimensional complex signal from its magnitude and the magnitude of the output of a known linear shift-invariant system whose input is the desired signal. The recursion has a simple geometric interpretation, and is easily extended to causal, shift-varying systems.
Keywords :
Difference equations; Error probability; Gaussian noise; Iterative algorithms; Linear systems; Nonlinear filters; Optical microscopy; Phase measurement; Random variables; Signal reconstruction;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/PROC.1981.12040
