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This paper is concerned with the synchronization control problem of an array of linearly stochastically coupled identical neural networks with discrete and distributed time-delays. Both the discrete and distributed time-delays terms are introduced to model a more realistic dynamical behavior of systems in practice, besides the stochastic coupling term. By utilizing the Lyapunov-Krasovskii functional...
This paper aims to investigate the global robust synchronization problem for two coupled neural networks with both discrete and distributed time-varying delays via output coupling. A general and novel time-varying delayed feedback scheme is introduced to model a more realistic controller. By employing the Lyapunov stability theory, several new and less restrictive criterions are obtained to guarantee...
In this paper a multiple-input multiple-output (MIMO) scheme proposed for a single carrier frequency division multiple access (SC-FDMA) system is described. Transmit and receive algorithms are developed for SC-FDMA MIMO systems. A spatial precoding closed-loop transmit beamforming (TxBF) algorithm for SC-FDMA MIMO system which uses singular value decomposition (SVD) at the transmitter and linear minimum...
In this paper a multiple-input multiple-output (MIMO) scheme proposed for single carrier frequency division multiple access (SC-FDMA) system is described. Transmit and receive algorithms are developed for SC-FDMA MIMO systems. A spatial precoding closed-loop transmit beamforming (TxBF) algorithm for SC-FDMA MIMO system which uses singular value decomposition (SVD) at the transmitter and linear minimum...
An efficient feedback design for single carrier frequency division multiple access (SC-FDMA) multiple input multiple output (MIMO) communication systems is described. We consider a codebook-based approach for MIMO pre-coding and quantization of feedback information. Differential processing is used to generate the updates iteratively for the feedback information between feedback instances. An approach...
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