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在实际工作中,总希望有这样一种压制高频干扰的理想滤波器:它能把大于某一指定频率的成份“绝对”地压制掉,又“绝对”地使小于这一指定频率的成份不发生畸变.但是,在数字滤波中,到目前为止还未见到有一种充分光滑的函数可以作为这种滤波器,补偿圆滑滤波方法就是为了解决这个问题而提出来的.在频率域中,对于压制信号中的高频成份来说,现有的充分光滑的函数,虽然能起很大的压制作用,但同时也会在一定程度上压制中频和低频成份,这种对中频和低频成份的压制,却是我们所不希望发生的.为了减少这种对中、低频成份的压制,我们提出了一种新的滤波方法,这就是本文所要介绍的补偿圆滑滤波法.
In practical work, it is always desirable to have an ideal filter for suppressing high-frequency interference: it can “absolutely” suppress components larger than a certain specified frequency and “absolutely” make components smaller than this specified frequency There is no distortion.However, in digital filtering, so far has not seen a fully smooth function can be used as such a filter, compensation smoothing filter method is proposed to solve this problem.In the frequency domain, For the high-frequency component of the suppressed signal, the existing sufficiently smooth function, although it can play a great role in suppression, but also to a certain extent, suppress the IF and low frequency components, the IF and low frequency components Suppression, but we do not want to happen.In order to reduce such suppression of medium and low frequency components, we propose a new filtering method, this is the compensation described in this paper smoothing filter.