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单输入多输出
相关语句
  single input multiple output
     Oversampling the received signals will product the cyclostationarity of communication signals, therefore, an equivalent SIMO (Single Input Multiple Output) system model of SISO (Single Input Single Output) system is proposed. Basing on the equivalent SIMO system model, we developed a new recursive algorithm for blind channel identification and equalization of possibly non-minimum phase channels using only second-order statistics.
     应用通信信号过采样后所具有的循环平稳性,将单输入单输出系统(SISO)模型等效成单输入多输出系统(SIMO)模型,并据此模型提出了一种新的基于二阶统计量的递推算法来完成对非最小相位系统的估计和辨识。
短句来源
     According to the physiology of myoelectric singals, a two channel single input multiple output (SIMO) IIR model was proposed to the two channel upper limb surface electromyography (EMG) signals. As the input of the model is unknown and unaccessible, a neural network based blind channel identification technique was employed to identify the model's transfer function.
     基于肌电信号产生机理 ,对双通道前臂肌电信号建立单输入多输出 IIR系统模型 ,由于模型输入未知且不可测 ,采用了盲信道辨识方法对模型传递函数进行辨识 .
短句来源
     According to the physiology of myoelectric signals, a two-channel single input multiple output (SIMO) FIR model is proposed to the t wo-channel upper limb EMG signal in this paper. As the input of the model is unk nown and unaccessible, blind signal processing technique is employed to identify the model parameters.
     根据肌电信号产生机理 ,本文对双通道前臂肌电信号建立单输入多输出 FIR系统模型 ,由于模型输入未知且不可测 ,采用了盲信号处理方法对模型参数进行辨识 .
短句来源
     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.
短句来源
     After analyzing the characteristic of the water treatment in 300MW boiler-turbine- generator, the single input multiple output (SIMO) models for dosing system and pH control dosing system and low phosphate treatment system are developed.
     首先分析了发电机组锅炉给水加药系统的特性,给出了给水除氧加联氨系统、给水pH值控制加氨系统的单输入多输出(SIMO)数学模型。
短句来源
  single input and multi-output
     A Parametric Study on Modal Analysis Algorithm With Multiple—Single Input and Multi-Output Space-Time Regression Method
     一种多次单输入多输出时间域模态分析方法的参数研究
短句来源
     Realization of Tunable Universal Filters of Single Input and Multi-output Based on CCCIIs
     单输入多输出通用可调滤波器的CCCⅡ实现
短句来源
     This paper gives the resource allocation algorithm according to three base models: single input and single output,single input and multi-output,multi-input and single output model in the case of input index and output index.
     根据输入、输出指标数的分布情况,建立了3种基本模型,分别是单输入单输出、多输入单输出、单输入多输出模型,给出了这3种模型的资源分配权重的确定算法.
短句来源
  single-input multiple-output
     By analyzing, the corresponding methods are obtained. Firstly, this paper describes the subspace method of single-input multiple-output (SIMO) systems.
     通过对子空间的分析,分别讨论了基于子空间的单输入多输出(SIMO)和多输入多输出(MIMO)系统的盲辨识和盲均衡算法。
短句来源
     A subspace approach to blind identification and equalization of a nonlinear single-input multiple-output (SIMO) finite impulse response (FIR) Volterra system is proposed.
     提出了单输入多输出有限冲激响应 (SIMOFIR)Volterra系统的盲辨识及盲均衡的子空间方法 .
短句来源
     Different from present adaptive equalization algorithms based on LMS and RLS, this paper proposes a new recursive algorithm of combined optimization to blindly detect the sequence of single-input multiple-output (SIMO) channels. This algorithm is based on the information of finite alphabet.
     与现有的自适应均衡LMS算法、RLS算法不同,提出了一种基于有限字符集信息的组合递推算法,实现单输入多输出 (SIMO)信道盲序列检测。
短句来源
  “单输入多输出”译为未确定词的双语例句
     A new Single-Input-Multiple-Output (SIMO) model by oversampling the output of an IIR channel is proposed.
     通过对IIR信道输出的过采样(Oversampling),该文提出一种新的单输入多输出(Single-Input- Multiple-Output,SIMO)模型。
短句来源
     It could realize dynamic description of single-output by single-input and multi-output by multi-input.
     运用β-P网络可实现作物生育进程中单输入单输出、单输入多输出、多输入单输出和多输入多输出动态关系的描述。
短句来源
     In this paper, we prove that oversampling a Single-Input-Single-Output (SISO) ⅡR system can be transformed into a Single-Input-Multiple-Output (SIMO) model.
     本文的主要贡献在于:1)证明了对单输入单输出(Single-Input-Single-Output SISO)IIR信道的输出进行过采样可以将其转化成单输入多输出(Single-Input-Multiple-Output SIMO)的多信道模型,不同的子信道具有相同的AR系数。
短句来源
     If 1>m, using output feedback and state feedback (1—dimension of output vector,m—dimension of input vector), the pulse transfer fumction matrix of systems can turn to the diagona\matrix, so that multivariable systems may be decoupled into some single inputmulti output subsystems.
     用输出反馈和状态反馈,在1>m时(1是输出向量维数,m是输入向量维数。) ,可以使脉冲传递矩阵变成对角线形的矩阵,从而将多变量系统解耦成一些单输入多输出子系统。
短句来源
     The relation between input-output feedback and state feedback is discussed and a convenient and effective controller designing method or poles assignment for input-output feedback system is also discussed' Finally,specific control program and simulation result are presented toking inverted pandulum system as an example.
     输入输出反馈是一种常用的控制器设计方法。 文中着重讨论了单输入多输出系统的输入输出反使问题,根据输入输出反馈系统的结构,利用丢番方程和矩阵简约方法,讨论了极点配置方法.该方法充分利用了单输入多输出系统的特点,简化了一般的多变量系统的极点配置方法,使其应用更加简单方便。
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  single-input multiple-output
In this paper, the Cramér-Rao Bound (CRB) for blind channel estimation in complex-valued Single-Input Multiple-Output (SIMO) channel is derived.
      
A blind adaptive scheme is proposed for joint maximum likelihood (ML) channel estimation and data detection of single-input multiple-output (SIMO) systems.
      
They can be considered as a single-input multiple-output model with an identical but unknown input signal.
      
For multiple-input single-output (or single-input multiple-output) systems the relation with a class of Hankel matrices, and their inverses, in the continuous-time case and with a class of Toeplitz matrices, in the discrete-time case, is established.
      


This paper suggests a new method for identifying parameters of linear time-invariant vibration system by the use of Kalman filtering technique.To start with,the system dynamic equation is transformed into discrete-time state equation in observable canonical form.For the application of Kalman filtering technique,the identification problem of the canonical form parameters of a single-input and mutioutput system is dealt with as a state estimation problem of several single-input and single-output systems.Three...

This paper suggests a new method for identifying parameters of linear time-invariant vibration system by the use of Kalman filtering technique.To start with,the system dynamic equation is transformed into discrete-time state equation in observable canonical form.For the application of Kalman filtering technique,the identification problem of the canonical form parameters of a single-input and mutioutput system is dealt with as a state estimation problem of several single-input and single-output systems.Three sets of practicable filtering formulas and a method of selecting the initial information for filtering are introduced.Then,formulas for transforming the canonical form parameters obtained through filtering into the complex modal parameters and undamping natural modal parameters of the vibration system are presented,and finally,the methods are discussed and results of a simulation experiment are given.

本文提出了利用卡尔曼滤波技术识别线性定常振动系统参数的方法。 首先,将系统动力学方程转化为离散的可观标准型状态方程;为了应用卡尔曼滤波技术,再将一个单输入多输出系统的标准型参数识别问题转化为若干个单输入单输出系统的状态估计问题。接着,介绍了三组实用的滤波公式以及选取滤波键所需的初始信息的方法。然后,列出了由滤波得到的标准型参数求得振动系统的复模态参数和固有模态参数所用的转换公式。最后讨论了本文所提出的方法,并给出了一个模型的模拟试验结果。

This paper presents a new method for identifying parameters of linear time-invariant vibration system by the use of Kalman filtering technique. To start with, the system dynamic equation is transformed into discrete-time state equation in observable canonical form. In order to apply the Kalman filtering technique, the identification problem of the canonical form parameters of a single-input and multi-output system is dealt with as a state estimation problem of several single-input and single-output systems....

This paper presents a new method for identifying parameters of linear time-invariant vibration system by the use of Kalman filtering technique. To start with, the system dynamic equation is transformed into discrete-time state equation in observable canonical form. In order to apply the Kalman filtering technique, the identification problem of the canonical form parameters of a single-input and multi-output system is dealt with as a state estimation problem of several single-input and single-output systems. Three sets of practicable filtering formulas and a method of selecting the initial information for filtering are introduced. Then, formulas for tramsforming the canonical form parameters obtained through filtering into the complex modal parameters and undamped natural modal parameters of the vibration system are presented, and finally, the methods are discussed and the results of a simulation experiment are given.

本文提出了利用卡尔曼滤波技术识别线性定常振动系统参数的方法。首先,将系统动力学方程转化为离散的可观标准型状态方程,为了应用卡尔曼滤波技术,再将一个单输入多输出系统的标准型参数识别问题转化为若干个单输入单输出系统的状态估计问题。接着,介绍了三组实用的滤波公式,以及选取滤波器所需的初始信息的方法。然后列出了由滤波得到的标准型参数求得振动系统复模态参数和固有模态参数所用的转换公式。最后对本文提出的公式进行了讨论,并给出了一个模型的模拟试验结果。

A new reduced model for high-order systems is investigated in this paper.It is shown that such model is optimal for matched outputs in the sense of integral-square-error criterion subject to an Impulse input and also without steady-state output error for polynomial inputs. The necessary condition of the problem and its algorithm are derired. An example for a SIMO system is calculated and compared with that obtained by Wilson's method. Extension, of reduced model to MIMO systems is formulated.

本文研究了高阶线性系统的一类最优简化模型.这类简化模型在脉冲输入时,其输出同原系统输出之间的误差按平方加权积分意义达到最小值,并且在幂函数和多项式输入时,其输出同原系统输出之间无稳态误差.本文推导了这类最优简化模型的必要条件,给出了单输入-多输出系统最优简化模型的数值例子和计算结果,并且同其他作者的最优简化模型作了比较.最后,本文还对多输入-多输出系统的最优简化模型给出了算法.

 
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