DocumentCode :
927495
Title :
Exact and approximate filtering in signal detection: An example (Corresp.)
Author :
Davis, Mark H A ; Andreadakis, Elias
Volume :
23
Issue :
6
fYear :
1977
fDate :
11/1/1977 12:00:00 AM
Firstpage :
768
Lastpage :
772
Abstract :
The innovations approach in communication theory solves the signal detection problem in terms of a related nonlinear filter. Simulation data is presented which shows that, at least for one example, using the appropriate linear filter instead results in a very small loss of detection power even though the variance of the linear filter is considerably greater than that of the nonlinear one. The results also illuminate the role of "predictable processes" in communication theory.
Keywords :
Estimation; Innovations methods (stochastic processes); Nonlinear estimation; Poisson processes; Signal detection; Communication system control; Filtering theory; Information theory; Nonlinear filters; Process control; Random processes; Signal detection; Statistics; Technological innovation; Testing;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1977.1055783
Filename :
1055783
Link To Document :
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