A.H. Sayed

Exploiting spatio-temporal correlation for rate-efficient transmit beamforming

A. Tarighat, M. Sadek, A.H. Sayed, 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

Tracking analysis of the LMF and LMMN adaptive algorithms

A.H. Sayed, N.R. Yousef, 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

A feedback analysis of perceptron learning for neural networks

M. Rupp, A.H. Sayed, 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

Mean-square performance of adaptive filters using averaging theory

Woo-Jin Song, Hyun-Chool Shin, Woo‐Jin Song, 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

Tracking properties of a convex combination of two adaptive filters

J. Arenas-Garcia, A.R. Figueiras-Vidal, A.H. Sayed, 2005, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.

Parameter estimation in the presence of bounded modeling errors

S. Chandrasekaran, A.H. Sayed, G.H. Golub, 1997, IEEE Signal Processing Letters.

Steady-state and tracking analyses of the sign algorithm without the explicit use of the independence assumption

A. Sayed, A. H. Sayed, N. Yousef, 2000, IEEE Signal Processing Letters.

Are ensemble-average learning curves reliable in evaluating the performance of adaptive filters?

A.H. Sayed, V.H. Nascimento, 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).

Robustness and convergence of adaptive schemes in blind equalization

M. Rupp, A.H. Sayed, 1996, Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers.