👉 FX math, or Fast Fourier Transform math, is a powerful technique used to analyze and manipulate signals in the frequency domain rather than the time domain. It works by converting a signal from its original representation (typically time-domain) into a frequency-domain representation, where the signal's components are expressed as sine and cosine waves at various frequencies. This transformation is achieved through the Fast Fourier Transform (FFT), an efficient algorithm that significantly reduces the computational complexity compared to the traditional Discrete Fourier Transform (DFT). In FX, operators like convolution are transformed into simple multiplications in the frequency domain, making it easier to apply filters or perform other operations. This approach is widely used in audio processing, image analysis, telecommunications, and many other fields where understanding the frequency content of signals is crucial.
