DocumentCode :
945657
Title :
On the statistical theory of optimum demodulation
Author :
Thomas, J.B. ; Wong, E.
Volume :
6
Issue :
4
fYear :
1960
fDate :
9/1/1960 12:00:00 AM
Firstpage :
420
Lastpage :
425
Abstract :
The multidimensional demodulation problem is considered from the point of view of statistical estimation theory and a posteriori most probable signal estimates are derived. Correlated signals and noises are treated. This formulation yields a set of two matrix integral equations which must be solved for the optimum estimates. For amplitude modulation, the problem reduces to that of finding a set of time varying filters which are, again, solutions to a matrix integral equation. Special cases such as two-receiver systems, quadrature modulation, and single-sideband have particularly simple representations and are considered in some detail.
Keywords :
MAP estimation; Modulation/demodulation; Additive noise; Amplitude modulation; Demodulation; Estimation theory; Filtering theory; Information theory; Integral equations; Multidimensional systems; Nonlinear equations; Nonlinear filters; Yield estimation;
fLanguage :
English
Journal_Title :
Information Theory, IRE Transactions on
Publisher :
ieee
ISSN :
0096-1000
Type :
jour
DOI :
10.1109/TIT.1960.1057576
Filename :
1057576
Link To Document :
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