DocumentCode
1825544
Title
Characterization of non-uniformly spaced discrete-time signals from their Fourier magnitude
Author
Siefker, Andrew
Author_Institution
Dept. of Math. & Stat., Murray State Univ., KY, USA
Volume
2
fYear
1999
fDate
24-27 Oct. 1999
Firstpage
1052
Abstract
Hayes (1980) presented conditions under which a sequence of real numbers is uniquely specified to within a sign factor and an integral, horizontal translation by the magnitude of its Fourier transform. This paper presents conditions under which a complex-valued, discrete-time function of finite duration is uniquely determined to within a time shift and a multiplicative constant of unit modulus by its Fourier magnitude. The result presented here is a generalization of Hayes´ result. The proof of the theorem utilizes Hadamard´s factorization theorem and is different from previous approaches.
Keywords
Fourier transforms; discrete time systems; signal reconstruction; signal representation; Fourier magnitude; Fourier transform; Hadamard factorization theorem; complex-valued discrete-time function; finite duration; integral horizontal translation; multiplicative constant; nonuniformly spaced discrete-time signals; real numbers; sign factor; time shift; Fourier transforms; Mathematics; Nonuniform sampling; Polynomials; Sampling methods; Signal mapping; Signal representations; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-5700-0
Type
conf
DOI
10.1109/ACSSC.1999.831870
Filename
831870
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