What are smoothing techniques?
Smoothing techniques are kinds of data preprocessing techniques to remove noise from a data set. This allows important patterns to stand out. In market analysis, smoothed data is preferred because it generally identifies changes in the economy compared to unsmoothed data.
How do you smooth a data set?
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.
What is a smoothing filter?
Smoothing Spatial Filter: Smoothing filter is used for blurring and noise reduction in the image. Blurring is pre-processing steps for removal of small details and Noise Reduction is accomplished by blurring.