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What is Filtering Techniques for Time Series Analysis about?

This document discusses different types of filtering that can be applied to time series data. It describes low-pass, high-pass, and band-pass filters. Low-pass filters reduce high frequency variations in order to focus on longer term trends. Simple moving averages are provided as an example of a low-pass filter that works by taking the average of neighboring values within a specified time window. The frequency response of filters describes how they affect variations at different frequencies. Symmetrical fil

Author

Shre Chatterjee

Language

EN