How To Identify Patterns in Time Series Data: Part I - Discrete Fourier Transform

1 posts by greg

In many real-world applications,  "Signals" are typically recorded and represented as time dependent functions. For example, we can record the daily trading price in the stock market, or measuring the hourly temperature in Los Angeles. In order to extract meaningful characteristics of the data, many different transforms have developed to decompose the data into simpler […]