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- Kailath, ThomasStanford University, CA, USA (author)
Fast Time-Invariant Implementations of Gaussian Signal Detectors
- Article/chapterEnglish1978
Publisher, publication year, extent ...
- IEEE Information Theory Society,1978
- printrdacarrier
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- LIBRIS-ID:oai:DiVA.org:liu-100997
- https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-100997URI
- https://doi.org/10.1109/TIT.1978.1055907DOI
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- Language:English
- Summary in:English
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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 and genre
- TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Reglerteknik hsv//swe
- ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Control Engineering hsv//eng
- Gaussian processes
- Signal detection
- Stochastic
- Chandrasekhar equations
Added entries (persons, corporate bodies, meetings, titles ...)
- Levy, Bernard C.Massachusetts Institute of Technology, MA, USA (author)
- Ljung, Lennart,1946-Linköpings universitet,Reglerteknik,Tekniska högskolan(Swepub:liu)lenlj48 (author)
- Morf, MartinStanford University, CA, USA (author)
- Stanford University, CA, USAMassachusetts Institute of Technology, MA, USA (creator_code:org_t)
Related titles
- In:IEEE Transactions on Information Theory: IEEE Information Theory Society24:4, s. 469-4770018-94481557-9654
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