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Reduced complexity online sparse signal reconstruction using projections onto weighted ℓ1 balls

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4 Author(s)
Kopsinis, Y. ; Inst. for Digital Commun., Univ. of Edinburgh, Edinburgh, UK ; Slavakis, K. ; Theodoridis, S. ; Mclaughlin, S.

This paper presents a novel online method for sparse signal reconstruction. In particular, the notion of sub-dimensional projections is introduced, which allows a significant complexity reduction in the Adaptive Projection-based Algorithm using Weighted ℓ1 balls (APWL1). This is achieved without sacrificing performance. The proposed method is evaluated in both stationary and time-varying environments and its performance is compared with state-of-the-art online and batch LASSO-based methods.

Published in:

Digital Signal Processing (DSP), 2011 17th International Conference on

Date of Conference:

6-8 July 2011

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