一种消除非周期分量的牛顿递推采样值修正法

An improved Newton iterative algorithm to eliminate non-period components from sampling data

在全波傅氏算法的基础上,提出一种改进的基于牛顿递推原理的消除非周期分量的采样值修正算法,详述了该方法的原理、实现过程及仿真结果。该方法能改进原全波傅氏算法的不足,消除非周期直流分量的影响,提高滤波的精度。算例表明该算法原理简单,计算量少,适用性强,精度高,是一种有效的算法。

Based on the theory of full-wave Fourier algorithm, this paper proposes an improved algorithm using Newton iterative theory with its theory, the procedure as well as the simulation result. The proposed algorithm can overcome the disadvantages of the full-wave Fourier algorithm, eliminate the non-period components and improve its filter speed and precision.