Taajuusdomeeni

Taajuusdomeeni refers to the representation of a signal or function in terms of its frequency components. Instead of plotting the signal's amplitude against time, as in the time domain, in the frequency domain, the amplitude or power of each frequency present in the signal is plotted against the frequency itself. This transformation is often achieved using the Fourier Transform or its discrete version, the Discrete Fourier Transform (DFT), and its efficient implementation, the Fast Fourier Transform (FFT).

The frequency domain provides a different perspective on signals, revealing characteristics that might be obscured in the time domain. For instance, periodic signals appear as distinct peaks at their fundamental frequency and harmonics, while noise might be spread across a wide range of frequencies. Analyzing a signal in the frequency domain is crucial in many fields, including signal processing, telecommunications, acoustics, and image analysis. It allows for tasks such as filtering out unwanted frequencies, identifying the dominant frequencies in a sound, or compressing data by representing it more efficiently in terms of its spectral content. Understanding the frequency content of a signal is fundamental to many engineering and scientific disciplines.