FFTanalys
FFTanalys, or FFT analysis, is the process of using the Fast Fourier Transform to decompose a time-domain signal into its frequency components. The FFT is an efficient algorithm for computing the discrete Fourier transform, enabling rapid estimation of a signal's spectrum. The result typically includes a magnitude spectrum, showing the strength of each frequency component, and a phase spectrum, indicating the phase shift relative to a reference. The analysis is constrained by the sampling rate, with the highest resolvable frequency (the Nyquist frequency) equal to half the sampling rate.
Procedure: collect samples of the signal at a chosen sampling rate, select a window length N, and
Applications: FFTanalys is used in audio and music analysis, vibration analysis of machinery, speech processing, telecommunications,
Limitations: the time–frequency resolution trade-off means that improving resolution in frequency reduces temporal precision. Noise, windowing