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转移函数
    ANALYSIS OF SENSITIVITY OF TRANSFER FUNCTIONS. TO PARASITIC EFFECTS
    转移函数对于寄生效应的灵敏度的分析
    Significantly, this paper proposes a series of transfer functions of 2-D linear-phase recursive digital filters and the appropriate block diagrams of the 2-D linear-phase recursive digital filtering, which have specific advantage of better quality and high efficience that is proved by the example of digital image processing.
    然后,结合对称关系加以推广,提出了一系列线性相位的二维递归数字滤波器的转移函数,并在数字图象滤波处理的应用中,证明了它们具有较好的性能和较高的效率。
    A further discussion on the theory of RC networks sythesis is made in this paper. The sufficieut and necessary conditions for realizing network transfer functions by connecting arbitrary RL loads to RC two——port networks are given It is stringently identified in the light of the theory.
    本文对RC网络综合理论做了进一步的探讨,给出了RC二端口网络单端接任意RL负载时转移函数可实现的充要条件,並从理论上给予严格的证明。
    In this paper, the necessary and sufficient conditions for realization of transfer functions of two-Port RC networks with single-end or two-end side connecting arbitrary RC Loads are given. And the theory of RC network synthesis is perfected.
    本文提出了二端口RC网络单、双端侧接任意RC负载时转移函数可实现的充要条件,使RC网络综合理论得到完善。
    A simple method of analysing sensitivities of the transfer functions and the errors between the transfer functions and the corresponding direct transfer functions to parasitic effects, by using the relations between the transfer function, return difference, null return difference and sensitivity, is presented. Also, an example to illustrate how to analyze circuits, containing operational amplifiers is given.
    本文利用转移函数、回归差、零回归差与灵敏度之间的关系,推导出一种简便的分析转移函数转移函数与直接转移函数之差对于寄生效应的灵敏度的方法,并举例说明如何分析运放电路的灵敏度。
    These can be used as simple self-contained filters or as filter sections in the cascade realizations of a higher order transfer functions.
    这些电路既可作为滤波节单独使用,也可用于级联设计以实现高阶转移函数
    In this paper, the state equation and transfer functions of second order networks are derived systematically and the poles of transfer fuctions are descussed.
    本文用系统分析方法推导出了双二阶有源R网络的状态方程和转移函数,并讨论了转移函数的极点。
    Calculation of transfer functions gives rise to the transmission characteristicsof Sheng pipe.
    笙管的传输特性用转移函数表示并给出计算方法。
    The equivalent circuit can be used to calculate the input equivalent impedance and the voltage transfer functions of the windings.
    利用这个模型可以计算变压器的入端阻抗及各个节点的电压转移函数
    Using a novel approach,the amplitude and frequency of nearly sinusoidal nonlinear oscillators can be calculated by solving two algebraic nonlinear equations. These determining equations can be generated to within any desired accuracy using a recursive algorithm based on Volterra series and nonlinear transfer functions.
    在 Volterra级数和非线性转移函数理论的基础上 ,介绍了一种递推算法 ,可以在任意精度内由两个非线性代数方程 (由决定方程产生 )求得非线性振荡器的近似正弦波的幅值与频率 .
    The transfer functions of 2-, and 3-memory are also given for performance bound analysis.
    推导了一般 SCTC码的构造 ,同时导出了存储单元分别为 2 ,3的 SCTC的转移函数
    So neural network is effective. The BP neural network is improved by integrating an error distribution function (EDF), a momentum factor and combined transfer functions so as to overcome local minimum problems and to find the global minimum solution and greatly accelerate the convergence speed.
    同时对BP算法进行改进 ,引入误差分布函数、动量项因子和组合转移函数 ,在一定程度上克服原有算法的局部最小问题 ,获得全局最小解 ,而且加快了网络的收敛速度 .
    In this model,the hybrid system is a hexadic structure which consists of a finite set of behavior modes,continuous state space,a finite set of exterior state variables,a set of evolvement functions,a set of transfer functions and a set of exterior input functions. The model is strong in the description of the system behaviors.
    该模型把混合系统看作是由系统行为模式集、连续状态空间、外部输入集、演化函数集、转移函数集、外部输入函数集等组成的六元组,对混合系统的行为具有很强的描述能力。
    With the help of Matlab, BP neural network model of package cushioning curves for the expanded polyethylene was created. Effects on the model output accuracy and generalization ability were respectively discussed in the different selection of data samples, numbers of hidden layers and hidden layer joints, transfer functions and train functions.
    借助于Matlab ,针对发泡聚乙烯的缓冲曲线的BP神经网络模型 ,详细探讨了样本、隐层数、隐层节点数、转移函数以及训练函数选取的不同 ,对模型结果精度及泛化能力的影响。
    Firstly samples were well organized, then the optimized subclass regression was undergone for the selection of input variables, different ANNs were tested with different layer knots numbers, transfer functions and train algorithms and finally the optimized Neural Network Model for Hydrologic forecast was established: the network structure is 8-9-1, the transfer functionsconfiguration is tansig-linear function, and the train algorithm is Lm.
    首先采用了合理的方法进行样本组织,进而利用最优子集回归技术进行输入因子的确定,然后进行了不同隐层节点数、不同转移函数、不同训练算法的组合试验,确定了应用于水文预报中的优化BP神经网络:网络结构为8-9-1; 转移函数的组合方式为tansig-线性函数;
    With the help of Matlab, BP neural network model of package cushioning curves for the expanded polyethylene was created. Effects on the model output accuracy and generalization ability were respectively discussed in the different selection of data samples, numbers of hidden layers and hidden layer joints, transfer functions and train functions.
    借助于Matlab,针对发泡聚乙烯的缓冲曲线的BP神经网络模型,详细探讨了样本、隐层数、隐层节点数、转移函数以及训练函数选取的不同,对模型结果精度及泛化能力的影响。
 

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