Title :
Characterization of non-uniformly spaced discrete-time signals from their Fourier magnitude
Author_Institution :
Dept. of Math. & Stat., Murray State Univ., KY, USA
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;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.831870