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