DocumentCode :
3339049
Title :
A windowing condition for characterization of finite signals from spectral phase or magnitude
Author :
Shetty, Sachin ; McDonald, John N. ; Cochran, Douglas
Author_Institution :
Arizona State Univ., Tempe, AZ, USA
Volume :
6
fYear :
2001
fDate :
2001
Firstpage :
3889
Abstract :
Reconstruction of a signal from its spectral phase or magnitude is in general an ill-posed problem. Various conditions restricting the class of signals under consideration have been shown to be sufficient to regularize the problem so that a unique or essentially unique signal corresponds to any given spectral magnitude or spectral phase function. This paper shows that a finite discrete-time signal is characterized by its spectral magnitude (or phase) and the spectral magnitude (or phase) of an ancillary signal obtained by windowing the original signal
Keywords :
Fourier analysis; signal reconstruction; spectral analysis; ancillary signal; finite discrete-time signal; ill-posed problem; signal reconstruction; spectral magnitude function; spectral phase function; windowing condition; Books; Crystallography; Discrete transforms; Fourier transforms; Optical signal processing; Polynomials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
ISSN :
1520-6149
Print_ISBN :
0-7803-7041-4
Type :
conf
DOI :
10.1109/ICASSP.2001.940693
Filename :
940693
Link To Document :
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