Considering the FFT of Real & Complex Signals

1. Is the FFT of a real signal real?
2. What is a real FFT?
3. What is the main advantage of FFT?
4. What is FFT and why it is used?

Is the FFT of a real signal real?

Most real-world signals are real-valued. Therefore, you can use the real fast Fourier transform (FFT) for most applications. You also can use the complex FFT by setting the imaginary part of the signal to zero.

What is a real FFT?

The real portion of an FFT result is how much each frequency component resembles a cosine wave, the imaginary component, how much each component resembles a sine wave.

What is the main advantage of FFT?

The main advantage of an FFT is speed, which it gets by decreasing the number of calculations needed to analyze a waveform.

What is FFT and why it is used?

The "Fast Fourier Transform" (FFT) is an important measurement method in the science of audio and acoustics measurement. It converts a signal into individual spectral components and thereby provides frequency information about the signal.