[TUTORIAL] An Introduction to Signal Smoothing

This post starts a new series on data analysis. It will focus on time series, introducing techniques to analyse, interpret and predict the future behaviour of Steam and Kickstarter data.

This fist tutorial introduces signal smoothing, which is strongly connected both to time series decomposition and edge detection.

• Introduction

• Noisy Signals

• Moving Average

• Centered Moving Average

• Weighted Moving Average

• Conclusion

The posts in this series are:

• Part 1. An Introduction to Signal Smoothing

• Part 2. Time Series Decomposition

• Part 3. The Autocorrelation Function

As always, thank you for your generous support. ♥