Howtosignalprocessing
- What is the smoothing algorithm?
- How does smoothing work?
- Which is the good algorithm to be used in smoothing value calculation?
- How do I smooth noisy data?
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.
How does smoothing work?
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.
Which is the good algorithm to be used in smoothing value calculation?
The simple exponential method is a popular data smoothing method because of the ease of calculation, flexibility, and good performance.
How do I smooth noisy data?
Methods for Data Smoothing
There are different methods in which data smoothing can be done. Some of these include the randomization method, using a random walk, calculating a moving average, or conducting one of several exponential smoothing techniques.
