Signal Smoothing

Unlike in mathematically generated signals a real signal does not change rather smoothly, noise is present most of the times. These are the random changes in amplitudes. To reduce the noise signal smoothing is used.

Too smooth a sigal with noise smoothing algorithms are been used. Most algorithms are based on "shift and multiply" to reduce the noise of a particular signal.

The simplest smoothing algorithm is the rectangular boxcar or unweighted sliding-average smooth algorithm.

Triangular smooth, Savitzky-Golay are more advance smoothing algorithms.

Signal smoothing is not deceptively impressive than one might think. It is often less beneficial. Therefore a optimization process is needed for smoothed signals.

Before smoothing a signal one should clearly determine weather the signal needs smoothing or not. Thus smoothing does not significantly improve the accuracy since the algorithms are slighty lossy.

Therefore alternatives for smoothing are been used to reduce noise.

Reference

Authour: Udara Deraniyagala

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