Title :
Partitioning algorithms for 1-D and 2-D discrete phase-retrieval problems with disconnected support
Author :
Yagle, Andrew E. ; Ahn, Hyunduk
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
fDate :
9/1/1997 12:00:00 AM
Abstract :
The discrete phase-retrieval problem with disconnected support is to reconstruct a discrete-time signal whose support is the union of disjoint intervals from the magnitude of its discrete Fourier transform. We use the Good-Thomas (1958) FFT mapping to transform the one-dimensional (1-D) version of this problem into a two-dimensional (2-D) discrete phase-retrieval problem. We then solve the latter problem by partitioning it into a set of 1-D phase-retrieval problems. The discrete and modulated Radon transforms are used to formulate two coupled 1-D problems, the solution to which specifies solutions to the other 1-D problems. This effectively partitions the original disconnected support 1-D problem into smaller 1-D problems, which may be solved in parallel. Small amounts of noise in the data can be rejected by using more than two coupled 1-D problems, The 2-D phase-retrieval problem with disconnected support is also considered. Numerical examples are provided, including comparison with the hybrid I/O algorithm
Keywords :
Radon transforms; discrete time systems; fast Fourier transforms; image reconstruction; modulation; noise; signal reconstruction; 1D discrete phase retrieval problem; 2D discrete phase retrieval problem; FFT mapping; coupled 1D problems; disconnected support; discrete Radon transform; discrete-time signal reconstruction; disjoint intervals union; hybrid I/O algorithm; modulated Radon transform; noise rejection; partitioning algorithms; Discrete Fourier transforms; Discrete transforms; Fourier transforms; Helium; History; Image reconstruction; Iterative algorithms; Partitioning algorithms; Phased arrays; Two dimensional displays;
Journal_Title :
Signal Processing, IEEE Transactions on