TY - GEN
T1 - Adaptive algorithm for sparse system identification using projections onto weighted ℓ1 balls
AU - Slavakis, Konstantinos
AU - Kopsinis, Yannis
AU - Theodoridis, Sergios
PY - 2010
Y1 - 2010
N2 - This paper presents a novel projection-based adaptive algorithm for sparse system identification. Sequentially observed data are used to generate an equivalent number of closed convex sets, namely hyperslabs, which quantify an associated cost criterion. Sparsity is exploited by the introduction of appropriately designed weighted ℓ1 balls. The algorithm uses only projections onto hyperslabs and weighted ℓ1 balls, and results into a computational complexity of order O(L) multiplications/additions and O(Llog2 L) sorting operations, where L is the length of the system to be estimated. Numerical results are also given to validate the proposed method against very recently developed sparse LMS and RLS type of algorithms, which are considered to belong to the same type of algorithmic family.
AB - This paper presents a novel projection-based adaptive algorithm for sparse system identification. Sequentially observed data are used to generate an equivalent number of closed convex sets, namely hyperslabs, which quantify an associated cost criterion. Sparsity is exploited by the introduction of appropriately designed weighted ℓ1 balls. The algorithm uses only projections onto hyperslabs and weighted ℓ1 balls, and results into a computational complexity of order O(L) multiplications/additions and O(Llog2 L) sorting operations, where L is the length of the system to be estimated. Numerical results are also given to validate the proposed method against very recently developed sparse LMS and RLS type of algorithms, which are considered to belong to the same type of algorithmic family.
KW - Adaptive filtering
KW - Projections
KW - Sparsity
UR - http://www.scopus.com/inward/record.url?scp=78049384053&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78049384053&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2010.5495872
DO - 10.1109/ICASSP.2010.5495872
M3 - Conference contribution
AN - SCOPUS:78049384053
SN - 9781424442966
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3742
EP - 3745
BT - 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
Y2 - 14 March 2010 through 19 March 2010
ER -