In mobile communications, the multipath spacetime channel has some fast-varying (faded amplitudes of the paths) and slowly-varying (delays and directions of arrival) features. In this paper we propose to estimate the channel from limited-length training sequences by exploiting these different varying rates without explicitly computing delays and directions of arrival. Therefore, the multi-slot ...

Abstract. This paper deals with the exponential synchronization problem for reaction-diffusion neural networks with mixed time-varying delays and stochastic disturbance. By using stochastic analysis approaches and constructing a novel Lyapunov–Krasovskii functional, a periodically intermittent controller is first proposed to guarantee the exponential synchronization of reactiondiffusion neural ...

Abstract. This paper is concerned with the global exponential synchronization for an array of hybrid coupled neural networks with time-varying leakage delay, discrete and distributed delays. Applying a novel Lyapunov functional and the property of outer coupling matrices of the neural networks, sufficient conditions are obtained for the global exponential synchronization of the system. The deri...