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Sparse spectral-lin...
Sparse spectral-line estimation for nonuniformly sampled multivariate time series : SPICE, LIKES and MSBL
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- Babu, Prabhu (författare)
- Uppsala universitet,Avdelningen för systemteknik,Reglerteknik
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- Stoica, Peter (författare)
- Uppsala universitet,Avdelningen för systemteknik,Reglerteknik
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(creator_code:org_t)
- 2012
- 2012
- Engelska.
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Ingår i: 2012 Proceedings Of The 20th European Signal Processing Conference (EUSIPCO). - 9781467310680 ; , s. 445-449
- Relaterad länk:
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http://www.eurasip.o...
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Abstract
Ämnesord
Stäng
- In this paper we deal with the problem of spectral-line analysis ofnonuniformly sampled multivariate time series for which we introduce two methods: the first method named SPICE (sparse iterativecovariance based estimation) is based on a covariance fitting framework whereas the second method named LIKES (likelihood-basedestimation of sparse parameters) is a maximum likelihood technique. Both methods yield sparse spectral estimates and they donot require the choice of any hyperparameters. We numericallycompare the performance of SPICE and LIKES with that of the recently introduced method of multivariate sparse Bayesian learning(MSBL).
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
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- ref (ämneskategori)
- kon (ämneskategori)
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