Sagedusdomeenitöötlus

Sagedusdomeenitöötlus, often translated as frequency domain processing, refers to the manipulation or analysis of signals in the frequency domain rather than in the time domain. A signal's representation in the frequency domain reveals its constituent frequencies and their respective amplitudes and phases. This transformation is typically achieved using mathematical tools like the Fourier Transform. By converting a signal to its frequency domain representation, it becomes possible to identify, filter, or modify specific frequency components that might be undesirable, such as noise, or to highlight certain characteristics of the signal.

Common applications of sagedusdomeenitöötlus include audio signal processing, such as equalization and noise reduction, where specific frequencies can be boosted or attenuated. In image processing, it can be used for tasks like sharpening or noise removal by operating on the frequency components of the image. Telecommunications also heavily relies on frequency domain techniques for modulation, demodulation, and channel equalization. Analyzing signals in the frequency domain can often simplify complex operations that would be cumbersome in the time domain. The inverse Fourier Transform allows the processed signal to be converted back to the time domain for practical use.