Signal Smoothing: Rectangular Boxcar Algorthim

This algorithm is more like an average function moving along a particular signal to mean out the signals in order to reduce the noise. Therefore it's well known as the Moving Average Filter. As the name says the the filer operates by averaging a number of points from the input signal to produce each point of the siganl. 

Here,
x[ ] - is the input signal
y[ ] - is the output signal
M   - is the number of points in average.

Ironically the algorithm is very simple scientists and engineers are not fond of the it although it is the first to be called when it is time to for a signal to be smoothed and being very good for many aplications. Plus it removes random white noise optimally.

The biggest advantage of being such a simple algorithm is that it is very fast to use as an recursive function. Therefore leaving quicker results with more sample rates than any other algorithm for smoothing.


Author : Udara Deraniyagala

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