A sliding-window online fast variational sparse Bayesian learning algorithm

Thomas Buchgraber; Dmitrity Shutin; H. Vincent Poor

doi:10.1109/ICASSP.2011.5946747

A sliding-window online fast variational sparse Bayesian learning algorithm

Thomas Buchgraber, Dmitrity Shutin, H. Vincent Poor

Institute of Signal Processing and Speech Communication (4420)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Original language	English
Title of host publication	IEEE International Conference on Acoustics, Speech, and Signal Processing
Publisher	.
Pages	2128-2131
DOIs	https://doi.org/10.1109/ICASSP.2011.5946747
Publication status	Published - 2011
Event	2011 IEEE International Conference on Acoustics, Speech, and Signal Processing: ICASSP 2011 - Prag, Czech Republic Duration: 22 May 2011 → 27 May 2011

Conference

Conference	2011 IEEE International Conference on Acoustics, Speech, and Signal Processing
Country/Territory	Czech Republic
City	Prag
Period	22/05/11 → 27/05/11

Fields of Expertise

Information, Communication & Computing

Treatment code (Nähere Zuordnung)

Basic - Fundamental (Grundlagenforschung)
Theoretical
Experimental

Access to Document

10.1109/ICASSP.2011.5946747

Cite this

Buchgraber, T, Shutin, D & Poor, HV 2011, A sliding-window online fast variational sparse Bayesian learning algorithm. in IEEE International Conference on Acoustics, Speech, and Signal Processing. ., pp. 2128-2131, 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, Prag, Czech Republic, 22/05/11. https://doi.org/10.1109/ICASSP.2011.5946747

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DO - 10.1109/ICASSP.2011.5946747

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