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Fast Time-Invariant...
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Kailath, ThomasStanford University, CA, USA
(author)
Fast Time-Invariant Implementations of Gaussian Signal Detectors
- Article/chapterEnglish1978
Publisher, publication year, extent ...
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IEEE Information Theory Society,1978
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Numbers
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LIBRIS-ID:oai:DiVA.org:liu-100997
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https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-100997URI
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https://doi.org/10.1109/TIT.1978.1055907DOI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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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.
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Levy, Bernard C.Massachusetts Institute of Technology, MA, USA
(author)
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Ljung, Lennart,1946-Linköpings universitet,Reglerteknik,Tekniska högskolan(Swepub:liu)lenlj48
(author)
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Morf, MartinStanford University, CA, USA
(author)
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Stanford University, CA, USAMassachusetts Institute of Technology, MA, USA
(creator_code:org_t)
Related titles
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In:IEEE Transactions on Information Theory: IEEE Information Theory Society24:4, s. 469-4770018-94481557-9654
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