Discrete Fourier Transform

The Discrete Fourier Transform (DFT) is a mathematical technique used to analyze digital signals, breaking them down into their constituent frequencies. Imagine a song: it’s made up of different notes or sounds at various pitches. The DFT helps us understand what these individual components are, allowing us to see how much of each frequency is present in the original signal. This is essential in fields like audio processing, image analysis, and telecommunications, enabling tasks like noise reduction, image compression, and more efficient data transmission. Essentially, it transforms data from time-based information to frequency-based insights.