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Fast Time-Invariant...
Fast Time-Invariant Implementations for Linear Least-Squares Smoothing Filters
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- Levy, Bernard C. (författare)
- Massachusetts Institute of Technology, MA, USA
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- Kailath, Thomas (författare)
- Stanford University, CA, USA
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- Morf, Martin (författare)
- Stanford University, CA, USA
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- Ljung, Lennart, 1946- (författare)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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(creator_code:org_t)
- 1978
- 1978
- Engelska.
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Ingår i: Proceedings of the 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes. ; , s. 1156-1159
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- We present a new solution for the fixed interval linear least-squares smoothing of a stationary random signal in additive white noise. By using the generalized Sobolev identity for the Fredholm resolvent of a covariance kernel, the smoothed estimate is expressed entirely in terms of time-invariant causal and anticausal filtering operations. These operations are interpreted from a stochastic point of view as giving some constrained (time-invariant) filtered estimates of the signal. From a computational point of view, the implementation presented here is particularly convenient, not only because time-invariant filters can be used to find the smoothed estimate, but also because a fast algorithm based on Levinson recursions can be used to compute the time-invariant filters themselves.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Nyckelord
- Least-squares
- Smoothing
- Linear
- Fredholm resolvent
- Levinson recursions
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)