TY - GEN
T1 - Comparison of convex combination and affine combination of adaptive filters
AU - Erdogan, Alper T.
AU - Kozat, Suleyman S.
AU - Singer, Andrew C.
PY - 2009
Y1 - 2009
N2 - In the area of combination of adaptive filters, two main approaches, namely convex and affine combinations have been introduced. In this article, the relation between these two approaches is investigated. First, the problem of obtaining optimal convex combination coefficients is formulated as the projection of the optimal affine combination weights to the unit simplex in a weighted inner product space. Based on this formulation the closed form expressions for optimal combination weights and target MSE levels are obtained for two and three branch cases.
AB - In the area of combination of adaptive filters, two main approaches, namely convex and affine combinations have been introduced. In this article, the relation between these two approaches is investigated. First, the problem of obtaining optimal convex combination coefficients is formulated as the projection of the optimal affine combination weights to the unit simplex in a weighted inner product space. Based on this formulation the closed form expressions for optimal combination weights and target MSE levels are obtained for two and three branch cases.
KW - Adaptive filtering
KW - Combination of adaptive filters
KW - Projection to unit simplex
UR - https://www.scopus.com/pages/publications/70349216432
U2 - 10.1109/ICASSP.2009.4960277
DO - 10.1109/ICASSP.2009.4960277
M3 - Conference contribution
SN - 9781424423545
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3089
EP - 3092
BT - 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
T2 - 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Y2 - 19 April 2009 through 24 April 2009
ER -