Howtosignalprocessing
The FFT is used to process data throughout today's highly networked, digital world. It allows computers to efficiently calculate the different frequency components in time-varying signals—and also to reconstruct such signals from a set of frequency components.
- What is FFT and why is it important?
- What is the main advantage of FFT?
- Why is Fourier transform so important?
- Why FFT analysis is used?
What is FFT and why is it important?
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.
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.
Why is Fourier transform so important?
The Fourier transform gives us insight into what sine wave frequencies make up a signal. You can apply knowledge of the frequency domain from the Fourier transform in very useful ways, such as: Audio processing, detecting specific tones or frequencies and even altering them to produce a new signal.
Why FFT analysis is used?
In a complex signal, the FFT helps the engineer to determine the frequencies that are being excited and the amplitude at each frequency. Additionally, it highlights the changes at the frequency and amplitude and the harmonic excitation in a frequency range.
