Coupled volterra model 耦合Volterra模型
2-dimension Volterra model 二维的Volterra模型
Three species Volterra model 三种群Volterra模型
Volterra series model Volterra级数模型
Volterra filter model Volterra滤波器模型
For behavioral model approaches, polynomial, or Volterra series for memory, is the most common function which is used to fit nonlinearity of power amplifiers.
而采用多项式结构描述放大器的特性是行为模型研究中最主要的方法。
Experimental results show that the proposed Volterra adaptive prediction model is capable of effectively predicting traffic flow time sequence and low-dimensional chaotic time sequence.
结果表明，该模型能够较准确地预测交通流量时间序列和低维混沌时间序列。
A nonlinear model of op amp based on Volterra series theory in complex frequency domain is proposed. The comparison of theory and experiment is given.
本文提出了一个运算放大器复频域非线性模型的建立方法，并且将该方法所建立的运算放大器模型与实验测量的传递函数特性作了比较。
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