在此情况下,多输入多输出(Multi-Input Multi-Output MIMO)系统及其相关技术应运而生。 MIMO技术是现代数字通信系统中显著的突破,它能有效解决SISO通信系统中存在的容量瓶颈问题。
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The design problem of reduced order state observer for a class of multi input multi output (MIMO) nonlinear time varying systems is studied in this paper.
研究一类多输入多输出(MIMO)非线性时变系统的降维状态观测器设计问题。
A partners choice algorithm is proposed based on cooperative multi-input multi-output(MIMO) transmission in energy-constrained sensor networks.
针对无线传感器网络高能效传输要求,提出了一种基于虚拟多输入多输出(MIMO)传输的协作中继节点选择算法。
A stable adaptive control approach using dynamic neural networks has been developed for a class of multi input multi output MIMO sampled data nonlinear systems with unknown dynamic nonlinearities.
研究了一类采样数据非线性系统的动态神经网络稳定自适应控制方法。
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