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A Digital Signal Processing Perspective on Numerical Methods for Circuit Simulation

机译:电路仿真数值方法的数字信号处理视角

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This work explores the relationship between digital signal processing theory and the numerical methods for circuit simulation. It is shown that by using B-spline basis function as the interpolation function, a fast recursive filtering approach can be derived for solving the ordinary differential equations. Since the spline function can be used as the scaling function in wavelet decomposition and reconstruction, the proposed method provides an alternative approach to the recently proposed wavelet collocation method for circuit simulation. Instead of decomposing the solutions directly into the wavelet basis functions at all levels and solving the obtained linear equations as in the wavelet collocation method, the proposed approach applies the multiresolution analysis. Specifically, first the expansion coefficients with respect to the scaling spline basis functions at the highest resolution level are obtained using the fast recursive filtering approach, then the wavelet coefficients at all levels are obtained by applying the fast wavelet decomposition algorithm. The experimental results show that the proposed approach is very promising.
机译:这项工作探索了数字信号处理理论与电路仿真数值方法之间的关系。结果表明,通过将B样条基函数用作插值函数,可以推导快速递归滤波方法来求解常微分方程。由于样条函数可以用作小波分解和重构中的缩放函数,因此该方法为电路仿真中最近提出的小波配置方法提供了一种替代方法。所提出的方法不是像小波配置方法那样将所有解直接分解为所有级别的小波基函数并求解所获得的线性方程,而采用了多分辨率分析。具体而言,首先使用快速递归滤波方法获得关于最高分辨率级别的缩放样条基函数的扩展系数,然后通过应用快速小波分解算法获得所有级别的小波系数。实验结果表明,该方法具有很好的应用前景。

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