DocumentCode :
2990075
Title :
On the stability and sensitivity of multidimensional signal reconstruction from Fourier transform magnitude
Author :
Sanz, Jorge L C ; Huang, Thomas S.
Author_Institution :
IBM Research Lab., San Jose, CA
Volume :
10
fYear :
1985
fDate :
31138
Firstpage :
1065
Lastpage :
1068
Abstract :
In this paper, we deal with the problem of retrieving a finite-extent signal from the magnitude of its Fourier transform. We consider the discrete phase retrieval problem as a special case of a more general problem which consists of recovering a real-valued signal x from the magnitude of the output of a linear distortion: |Hx| (j), j=1 ....,n. An important result concerning the conditioning of this problem will be obtained for this general setting by means of algebraic-geometric techniques. In particular, the problems of the existence of a solution for phase retrieval, conditioning of the problem and stability of the (essentially) unique solution will be addressed.
Keywords :
Computer science; Discrete Fourier transforms; Equations; Fourier transforms; Geometry; Information retrieval; Multidimensional systems; Polynomials; Signal reconstruction; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
Type :
conf
DOI :
10.1109/ICASSP.1985.1168142
Filename :
1168142
Link To Document :
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