TY - GEN
T1 - Reduced complexity online sparse signal reconstruction using projections onto weighted 1 balls
AU - Kopsinis, Yannis
AU - Slavakis, Konstantinos
AU - Theodoridis, Sergios
AU - McLaughlin, Steve
PY - 2011
Y1 - 2011
N2 - 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 1 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.
AB - 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 1 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.
KW - Adaptive filtering
KW - Online signal reconstruction
KW - projections
KW - sparsity
UR - http://www.scopus.com/inward/record.url?scp=80053153733&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053153733&partnerID=8YFLogxK
U2 - 10.1109/ICDSP.2011.6005005
DO - 10.1109/ICDSP.2011.6005005
M3 - Conference contribution
AN - SCOPUS:80053153733
SN - 9781457702747
T3 - 17th DSP 2011 International Conference on Digital Signal Processing, Proceedings
BT - 17th DSP 2011 International Conference on Digital Signal Processing, Proceedings
T2 - 17th International Conference on Digital Signal Processing, DSP 2011
Y2 - 6 July 2011 through 8 July 2011
ER -