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wks_19
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Hi All,
Its my first post here. I want to know how the digital output which comes out of an ADC can be used to calculate FFT. Because FFT algorithms usually needs real and imaginary parts of a sampled signal?
Thanks.
FFT stands for Fast Fourier Transform, which is a mathematical algorithm used to convert a signal from its original domain (typically time or space) to a representation in the frequency domain. This is useful for analyzing signals and identifying their frequency components.
To calculate FFT from ADC (Analog-to-Digital Converter) output, the ADC values must first be converted to a digital signal and then passed through an FFT algorithm. This algorithm breaks down the signal into its frequency components and outputs the results in a graph or chart.
FFT (Fast Fourier Transform) is a more efficient version of DFT (Discrete Fourier Transform), which is another mathematical algorithm used to convert a signal from time or space domain to frequency domain. FFT is able to calculate the frequency components of a signal much faster than DFT by using various optimization techniques.
The ability to calculate FFT from ADC output has many practical applications, including signal processing, audio and image compression, and speech recognition. It is also commonly used in scientific research, engineering, and telecommunications.
While FFT is a powerful tool for analyzing signals, it does have limitations. It is most accurate for signals that are periodic or have a repeating pattern. Additionally, the accuracy of the results can be affected by factors such as noise, sampling frequency, and signal length.