Ali H. Sayed

TL;DR: A new theoretical framework is introduced for analyzing the performance of a finite length minimum-mean-square error decision feedback equalizer (MMSE-DFE) in a multi-input multi-output (MIMO) environment and quantifies the diversity performance improvement as a function of the number of transmit/receive antennas and equalizer taps.

TL;DR: Adaptive networks are well suited to perform decentralized information processing and optimization tasks and to model various types of self-organized and complex behavior encountered in nature as discussed by the authors, where agents are linked together through a connection topology, and they cooperate with each other through local interactions to solve distributed optimization, estimation, and inference problems in real-time.

TL;DR: A unified treatment of the mean-square error, tracking, and transient performances of a family of affine projection algorithms based on energy conservation arguments and does not restrict the regressors to specific models or to a Gaussian distribution.

TL;DR: Numerical results show that the proposed multiuser two-way relay processing can efficiently eliminate both co-channel interference (CCI) and self-interference (SI).

TL;DR: Simulation results show that the diffusion L MS algorithm with the proposed adaptive combiners outperforms those with existing static combiners and the incremental LMS algorithm, and that the theoretical analysis provides a good approximation of practical performance.