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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
Book
Fundamentals of adaptive filtering
TL;DR: This paper presents a meta-anatomy of Adaptive Filters, a system of filters and algorithms that automates the very labor-intensive and therefore time-heavy and expensive process of designing and implementing these filters.
Book
Adaptive Filters
TL;DR: Adaptive Filters offers a fresh, focused look at the subject in a manner that will entice students, challenge experts, and appeal to practitioners and instructors.
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Network-based wireless location: challenges faced in developing techniques for accurate wireless location information
TL;DR: An overview of wireless location challenges and techniques with a special focus on network-based technologies and applications is provided.
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Diffusion LMS Strategies for Distributed Estimation
TL;DR: This work motivates and proposes new versions of the diffusion LMS algorithm that outperform previous solutions, and provides performance and convergence analysis of the proposed algorithms, together with simulation results comparing with existing techniques.
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Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks
TL;DR: This paper proposes an optimal linear cooperation framework for spectrum sensing in order to accurately detect the weak primary signal and proposes a heuristic approach, where a modified deflection coefficient that characterizes the probability distribution function of the global test statistics at the fusion center is proposed.