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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
A Stable and Efficient Algorithm for the Indefinite Linear Least-Squares Problem
TL;DR: An algorithm for the solution of indefinite least-squares problems involves the QR factorization of the coefficient matrix and is provably numerically stable.
Ieee signal processing society
J. M. F. Moura,A. Petropulu,Vice President-Conferences,A. Acero,M. Kaveh,P. M. D Juric,Vice President-Finance,M. M. Kowalczyk,M. D. Zoltowski,Vice President-Awards,K. J. R. Liu,Vice President-Publications,A.H. Tewfik,I. M. Trancoso,T. Chen,T. Kaiser,Ali H. Sayed,L. Deng,A. B. Gershman,R. K. Ward,C. Chakrabarti,S. Hemami,Ton Kalker,D. Miller,Ingemar J. Cox,R. Saint-Nom,N. D. Sidiropoulos,G. Tong Zhou,R. Pieraccini,M. E. Deisher +29 more
TL;DR: Poster Sessions and Show & Tell demonstrations are aimed at strengthening the interactions between researchers and practitioners and offer an opportunity for participants to demonstrate their state-of-the-art results to a wide audience of professionals in the area of signal processing.
Journal ArticleDOI
Diffusion-Based Adaptive Distributed Detection: Steady-State Performance in the Slow Adaptation Regime
TL;DR: A fundamental scaling law is established for the steady-state probabilities of miss detection and false alarm in the slow adaptation regime, when the agents interact with each other according to distributed strategies that employ small constant step-sizes.
Journal ArticleDOI
Joint compensation of IQ imbalance and phase noise in OFDM wireless systems
TL;DR: It is shown that the proposed compensation scheme can effectively improve the signal-to-noise ratio at the receiver, simplifying the RF and analog circuitry design in terms of implementation cost, power consumption, and silicon fabrication yield.
Journal ArticleDOI
Digital Compensation of Cross-Modulation Distortion in Software-Defined Radios
TL;DR: This paper investigates how the cross-modulation distortion can be compensated for by using digital signal processing techniques, and demonstrates how mixed-signal, i.e., joint analog and digital, processing techniques play a critical role in the emerging SDR and cognitive radio technologies.