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Fast Time-Invariant...
Fast Time-Invariant Implementations of Gaussian Signal Detectors
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- Kailath, Thomas (author)
- Stanford University, CA, USA
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- Levy, Bernard C. (author)
- Massachusetts Institute of Technology, MA, USA
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- 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.
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In: IEEE Transactions on Information Theory. - : IEEE Information Theory Society. - 0018-9448 .- 1557-9654. ; 24:4, s. 469-477
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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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
Publication and Content Type
- ref (subject category)
- art (subject category)
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