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Fast Time-Invariant Implementations of Gaussian Signal Detectors

Kailath, Thomas (author)
Stanford University, CA, USA
Levy, Bernard C. (author)
Massachusetts Institute of Technology, MA, USA
Ljung, Lennart, 1946- (author)
Linköpings universitet,Reglerteknik,Tekniska högskolan
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Morf, Martin (author)
Stanford University, CA, USA
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 (creator_code:org_t)
IEEE Information Theory Society, 1978
1978
English.
In: IEEE Transactions on Information Theory. - : IEEE Information Theory Society. - 0018-9448 .- 1557-9654. ; 24:4, s. 469-477
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • A new implementation is presented for the optimum likelihood ratio detector for stationary Gaussian signals in white Gaussian noise that uses only two causal time-invariant filters. This solution also has the advantage that fast algorithms based on the Levinson and Chandrasekhar equations can he used for the determination of these time-invariant filters. By using a notion of "closeness to stationarity,' there is a natural extension of the above results for nonstationary signal processes.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)

Keyword

Gaussian processes
Signal detection
Stochastic
Chandrasekhar equations

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Kailath, Thomas
Levy, Bernard C.
Ljung, Lennart, ...
Morf, Martin
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Linköping University

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