Rational curves and rational surfaces , which are a class of important approximation functions , are extensive applied in cad / cam 有理曲线和曲面作为一类重要的逼近函数,在计算机辅助设计与制造中有着广泛的应用。
This paper approximates non - linear function with wavelet neural network , whose ability of approximation function is discussed in theory 本文将小波神经网络用于逼近非线性函数,并从理论上讨论了它逼近函数的能力。
By applying the result to approximation function / which is " essentially localized " in time - frequency , we obtain good approximation effect 作为应用,用该非调和小波函数逼近一个时频局部化的函数,收到较好的效果。
In the first part , this thesis emphasizes to introduce the approximation functions and inducement of three filters . also this thesis introduces the reason of choosing the cauer approximation 着重介绍了三种滤波器的近似函数以及其推导过程,并介绍了为什么要选择椭圆近似。