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Ali H. Sayed

Researcher at École Polytechnique Fédérale de Lausanne

Publications -  766
Citations -  39568

Ali H. Sayed is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Adaptive filter & Optimization problem. The author has an hindex of 81, co-authored 728 publications receiving 36030 citations. Previous affiliations of Ali H. Sayed include Harbin Engineering University & University of California, Los Angeles.

Papers
More filters
Journal ArticleDOI

Stable pole-zero modeling of long FIR filters with application to the MMSE-DFE

TL;DR: A computationally efficient order-recursive algorithm is derived that achieves the approximating a long FIR filter by a reduced-parameter stable pole-zero filter with high accuracy and is applied to reduce the implementation complexity of the decision feedback equalizer's long FIR feedforward and feedback filters encountered in high-speed data transmission on digital subscriber loops.
Journal ArticleDOI

Linear Convergence of Primal-Dual Gradient Methods and their Performance in Distributed Optimization

TL;DR: This work provides a short proof that establishes the linear (exponential) convergence of the algorithm for smooth strongly-convex cost functions and study its relation to the non-incremental implementation of the primal-descent dual-ascent gradient method.
Journal ArticleDOI

Regularized robust filters for time-varying uncertain discrete-time systems

TL;DR: This note develops robust filters for time-varying uncertain discrete-time systems based on a data regularization solution and they enforce a minimum state-error variance property.
Journal ArticleDOI

An embedding approach to frequency-domain and subband adaptive filtering

TL;DR: Adaptive structures that are based on the trigonometric transforms, discrete cosine transform and discrete sine transform, and on the discrete Hartley transform are developed.
Proceedings ArticleDOI

Multiuser two-way relaying method for beamforming systems

TL;DR: Numerical results indicate that the beamforming method is more attractive than the spatial multiplexing method for the two-way communications.