Does this Signal Smoothing algorithm have a name?

1. What is the smoothing algorithm?
2. What is signal smoothing?
3. What is the difference between smoothing and filtering?
4. How do you smooth a digital signal?

What is the smoothing algorithm?

Smoothing algorithms are either global or local because they take data and filter out noise across the entire, global series, or over a smaller, local series by summarizing a local or global domain of Y, resulting in an estimation of the underlying data called a smooth.

What is signal smoothing?

In smoothing, the data points of a signal are modified so individual points higher than the adjacent points (presumably because of noise) are reduced, and points that are lower than the adjacent points are increased leading to a smoother signal.

What is the difference between smoothing and filtering?

The distinction between Smoothing (estimation) and Filtering (estimation): In smoothing all observation samples are used (from future). Filtering is causal, whereas smoothing is batch processing of the given data. Filtering is the estimation of a (hidden) time-series process based on serial incremental observations.

How do you smooth a digital signal?

The easiest way to smooth a signal is by moving window average. A more advanced way is to use a Savitzky-Golay filter.