Finite moving average filter

1. What does a moving average filter do?
2. What is formula of average moving filter?
3. Is moving average a good filter?
4. What is a MA filter?

What does a moving average filter do?

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.

What is formula of average moving filter?

The difference equation of an exponential moving average filter is very simple: y [ n ] = α x [ n ] + ( 1 − α ) y [ n − 1 ] In this equation, is the current output, y [ n − 1 ] is the previous output, and is the current input; is a number between 0 and 1.

Is moving average a good filter?

Not only is the moving average filter very good for many applications, it is optimal for a common problem, reducing random white noise while keeping the sharpest step response. FIGURE 15-1 Example of a moving average filter.

What is a MA filter?

The moving average filter is a simple Low Pass FIR (Finite Impulse Response) filter commonly used for smoothing an array of sampled data/signal. It takes M samples of input at a time and take the average of those M-samples and produces a single output point.