说明：  数字信号处理的应用之一是从含有加性噪声的信号中去除噪声。现有被噪声污染的信号x[k]=s[k]+d[k],式中： 为原始信号d[k]为均匀分布的白噪声。 （1）分别产生50点的序列s[k]和白噪声序列d[k],将二者叠加生成x[k],并在同一张图上绘出x0[k],d[k]和x[k]的序列波形。 （2）均值滤波可以有效去除叠加在低频信号上的噪声。已知3点滑动平均数字滤波器的单位脉冲响应为h[k]=[1,1,1 k=0,1,2],计算y[k]=x[k]*h[k],在同一张图上绘出前50点y[k],s[k]和x[k]的波形，比较序列y[k]和s[k]。
(digital signal processing applications from one containing additive noise signal denoising. Existing noise pollution was a signal x [k] = s [k] d [k], where : of the original signal d [k] uniform distribution of white noise. (1) have 50 points each sequence s [k] and white noise sequence d [k] superposition of the two generation x [k] and the same is likely to draw a map x0 [k] d [k] and x [k] waveform sequence. (2) mean filter can effectively remove superimposed on the low-frequency noise on the signal. 3:00 known moving average digital filter unit for pulse response h [k] = [k = 0,1,2 1,1,1] Calculation y [k] = x [k]* h [k], the same is likely to draw a map before 50 y [k] s [k] and x [k] waveform sequence comparison y [k] s and [k].)