Sparse coloured system identification with guaranteed stability | IEEE Conference Publication | IEEE Xplore

Sparse coloured system identification with guaranteed stability


Abstract:

We develop a method for sparse transfer function estimation in the presence of coloured noise. Unlike most previous sparse transfer function estimation methods our approa...Show More

Abstract:

We develop a method for sparse transfer function estimation in the presence of coloured noise. Unlike most previous sparse transfer function estimation methods our approach via Laguerre polynomials guarantees stability. Also unlike previous methods the new procedure can handle coloured noise. We discuss both l1 and l0 penalized procedures. Simulation results are presented to demonstrate the effectiveness of this approach and to compare the performance of the two penalties that are considered.
Date of Conference: 10-13 December 2012
Date Added to IEEE Xplore: 04 February 2013
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Conference Location: Maui, HI, USA

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