Trouble with understanding moving average filter as an oversampling filter

1. What are the limitations of average filters?
2. Why is moving average filter low pass?
3. What will be the response of a moving average filter?
4. How do you use a moving average filter?

What are the limitations of average filters?

The disadvantage of these filters is that they must use convolution, a terribly slow algorithm. number of points in the moving average (an odd number). Before this equation can be used, the first point in the signal must be calculated using a standard summation.

Why is moving average filter low pass?

The moving average is a very poor low-pass filter, due to its slow roll-off and poor stopband attenuation. These curves are generated by Eq. 15-2. Figure 15-2 shows the frequency response of the moving average filter.

What will be the response of a moving average filter?

Moving Average Filter is a Finite Impulse Response (FIR) Filter smoothing filter used for smoothing the signal from short term overshoots or noisy fluctuations and helps in retaining the true signal representation or retaining sharp step response.

How do you use a moving average filter?

Implementation of MA Filter:

On the Data tab, in the Analysis group, click Data Analysis. Select Moving Average and click OK. Divide the selected values by 2 and Plot a graph. In our case we have set the interval to 8 as the moving average is the average of the previous 7 data points and the current data point.