单输入多输出 meaning in Chinese
simo: single input multiple output
Examples
- The control algorithm of closed - loop gain shaping when the controlled object is not square matrix in the simo system is developed in this thesis
本文提出了单输入多输出( simo )系统即被控对象为非方阵情况下的闭环增益成形控制算法。 - With estimating the numerator of the new simo model transfer function first and the common denominator later , the parameter estimation of the original siso model is obtained
再估计出这个新的单输入多输出系统的传递函数，最后得到原单输入单输出系统的模型参数。 - By over - sampling the single input single output ( siso ) system , the system is transformed into a single input multiple output ( simo ) one with common poles
通过过采样控制系统的输出信号，将原单输入单输出系统转换成为一个新的与原系统具有相同输出极点的单输入多输出系统。 - The following algorithms have been proposed and tested in the thesis : 1 frequency selective fading : combine the isomorphism between the input space and the output space and propose a new approach to blind equalization of the channel . compared with conventional methods , the new approach offers lower computational complexity , better performance , and more robust against the over - determination of the system order ; 2 time selective fading : a new approach to the equalization of time selective channel based on the zero - forced equalizer is proposed which is more simple in its structure of algorithm ; 3 time - varying channel : using the instantaneous mean value changes of the output signal to extract the information of channel variations and model it using ar model , kalman filter is then employed to track channel variations , it bears faster ability in tracking the variation of tv channels ; based on the isomorphism between the inputs and the outputs and some of the approaches using in mimo system , a new algorithm of equalization of simo time - varying channel is proposed , which also share the merits of being robust against the over - determination of the system order ; model the time - varying channel using the multi - resolution decomposition wavelets , and then a blind identification method based " on the model is proposed ; at last , a new model for equalization and identification of mimo system is proposed
主要工作在以下几个方面： 1 、针对频率选择性衰落信道：结合输入输出空间同构关系提出一种新的频率选择性信道均衡方法，与传统方法相比，该方法计算量更小，收敛速度更快，性能更优，且对系统阶次的过确定表现稳健，具有实际均衡应用价值； 2 、针对时间选择性衰落信道：提出一种基于迫零均衡的时间选择性信道均衡方法，算法结构简单； 3 、针对时变色散信道：利用瞬态均值曲线提取信道时变信息，对之ar建模，利用卡尔曼滤波器跟踪时变信道抽头变化，可以快速跟踪信道变化；基于输入输出空间之间的同构关系以及多输入多输出系统的处理方法，提出了新的单输入多输出色散时变信道均衡与识别算法，同样具有对信道阶次过确定保持稳健的优点；结合小波多分辨率分析提出一种基于小波模型的信道盲识别算法；研究时变的多输入多输出系统的盲均衡与盲反卷积问题，给出一种时变系统处理模型。