A
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
A survey of spectral factorization methods
Ali H. Sayed,Thomas Kailath +1 more
TL;DR: While the discussion focuses primarily on scalar-valued rational spectra, extensions to nonrational and vector-valued spectra are briefly noted.
BookDOI
Fast reliable algorithms for matrices with structure
Thomas Kailath,Ali H. Sayed +1 more
TL;DR: The aim of this work is to provide a Discussion of the Foundations of Matrix Realization and its Applications to Markov Chains and Queueing Models, as well as some suggestions for further investigation.
Journal ArticleDOI
Adaptive tracking of linear time-variant systems by extended RLS algorithms
TL;DR: This work exploits the one-to-one correspondences between the recursive least-squares (RLS) and Kalman variables to formulate extended forms of the RLS algorithm that are applicable to a system identification problem and the tracking of a chirped sinusoid in additive noise.
Journal ArticleDOI
A unified approach to the steady-state and tracking analyses of adaptive filters
N.R. Yousef,Ali H. Sayed +1 more
TL;DR: A unified approach to the steady-state and tracking analyses of adaptive algorithms that bypasses many of these difficulties and relies on a fundamental error variance relation.
Journal ArticleDOI
Multitask Diffusion Adaptation Over Networks
TL;DR: This paper employs diffusion strategies to develop distributed algorithms that address multitask problems by minimizing an appropriate mean-square error criterion with l2-regularization and demonstrates how the distributed strategy can be used in several useful applications related to target localization and hyperspectral data unmixing.