TY - GEN
T1 - Analysis of the Euclidean direction set adaptive algorithm
AU - Xu, Guo Fang
AU - Bose, T.
PY - 1998
Y1 - 1998
N2 - A mathematical analysis is performed on a previously reported gradient-based adaptive algorithm named the Euclidean direction set (EDS) method. It has been shown that the EDS algorithm has a computational complexity of O(N) for each system update, and a rate of convergence (based on computer simulations) comparable to the RLS algorithm. The stability of the EDS method is studied and it is shown that the algorithm converges to the true solution. It is also proved that the convergence rate of the EDS method is superior to that of the steepest descent method.
AB - A mathematical analysis is performed on a previously reported gradient-based adaptive algorithm named the Euclidean direction set (EDS) method. It has been shown that the EDS algorithm has a computational complexity of O(N) for each system update, and a rate of convergence (based on computer simulations) comparable to the RLS algorithm. The stability of the EDS method is studied and it is shown that the algorithm converges to the true solution. It is also proved that the convergence rate of the EDS method is superior to that of the steepest descent method.
UR - http://www.scopus.com/inward/record.url?scp=0031619391&partnerID=8YFLogxK
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U2 - 10.1109/ICASSP.1998.681781
DO - 10.1109/ICASSP.1998.681781
M3 - Conference contribution
AN - SCOPUS:0031619391
SN - 0780344286
SN - 9780780344280
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 1689
EP - 1692
BT - Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
T2 - 1998 23rd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 1998
Y2 - 12 May 1998 through 15 May 1998
ER -