Howtosignalprocessing
- What are the disadvantages of FFT?
- What are the applications of FFT?
- What are the limitations of the Fourier transform?
- Where is FFT used in real life?
What are the disadvantages of FFT?
A disadvantage associated with the FFT is the restricted range of waveform data that can be transformed and the need to apply a window weighting function (to be defined) to the waveform to compensate for spectral leakage (also to be defined). An alternative to the FFT is the discrete Fourier transform (DFT).
What are the applications of FFT?
FFT Applications
These techniques can be used for a variety of signals such as audio and speech, radar, communication, and other sensor data signals. FFT is also sometimes used as an intermediate step for more complex signal processing techniques. In image processing, FFT is used for filtering and image compression.
What are the limitations of the Fourier transform?
The major disadvantage of the Fourier transformation is the inherent compromise that exists between frequency and time resolution. The length of Fourier transformation used can be critical in ensuring that subtle changes in frequency over time, which are very important in bat echolocation calls, are seen.
Where is FFT used in real life?
It is used in designing electrical circuits, solving differential equations , signal processing ,signal analysis, image processing & filtering.
