DocumentCode :
1107433
Title :
On the duality of time and frequency domain signal reconstruction from partial information
Author :
Shitz, Shlomo ; Zeevi, Yehoshua Y.
Author_Institution :
Technion-Isreal Institute of Technology, Haifa, Israel
Volume :
33
Issue :
6
fYear :
1985
fDate :
12/1/1985 12:00:00 AM
Firstpage :
1486
Lastpage :
1498
Abstract :
Certain results on one-dimensional signal representation and reconstruction from partial information in the frequency domain are related to and derived, using relevant results obtained in the time or positional information domain. In particular, we adopt Logan´s approach and apply his results concerning zero-crossing representation of certain bandpass signals. We also apply Voelcker´s results on demodulation of analytic SSB signals by an AM detector. Exploiting the duality of the Fourier-Stieltjes transform and its inverse, we rederive and extend to continuous one-dimensional signals some results concerning the representation of Fourier-transformed discrete time (finite) sequences by partial information such as one bit or complete Fourier phase, Fourier magnitude or signed-magnitude. The duality and interrelationship of characteristics and constraints attributed to time and frequency signal representation create further possibilities of drawing results and interpretations from one- to its counter-domain. In particular, we indicate possible extensions of certain results to problems of N-dimensional signals and to issues of stochastic signals. We also highlight basic issues concerning the structure of signals and their reconstruction from partial information.
Keywords :
Amplitude modulation; Demodulation; Detectors; Discrete Fourier transforms; Fourier transforms; Frequency domain analysis; Signal analysis; Signal reconstruction; Signal representations; Time factors;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/TASSP.1985.1164733
Filename :
1164733
Link To Document :
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