Ali H. Sayed

TL;DR: This paper studies the mean-square performance of a convex combination of two transversal filters and shows how the universality of the scheme can be exploited to design filters with improved tracking performance.

TL;DR: It is confirmed that under constant step-sizes, diffusion strategies allow information to diffuse more thoroughly through the network and this property has a favorable effect on the evolution of the network: diffusion networks are shown to converge faster and reach lower mean-square deviation than consensus networks, and their mean- square stability is insensitive to the choice of the combination weights.

TL;DR: It is argued that collaborative spectrum sensing can make use of signal processing gains at the physical layer to mitigate strict requirements on the radio frequency front-end and to exploit spatial diversity through network cooperation to significantly improve sensing reliability.

TL;DR: It is shown that, under certain stabilizability and detectability conditions, the steady-state filters are stable and that, for quadratically-stable models, the filters guarantee a bounded error variance.

TL;DR: The effect of IQ imbalances on OFDM receivers is studied, and system-level algorithms to compensate for the distortions are proposed, and bounds on the achievable performance of the compensation algorithms are derived and evaluated as a function of the physical distortion parameters.