Calculating FFT from ADC Output - Hi All

Thread starter wks_19
Start date Jun 15, 2010
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Adc Fft Output

In summary, FFT (Fast Fourier Transform) is a mathematical algorithm used to convert a signal from its original domain to the frequency domain for analysis. To calculate FFT from ADC output, the ADC values must first be converted to a digital signal and then passed through the algorithm. FFT is a more efficient version of DFT (Discrete Fourier Transform), which has many practical applications in fields such as signal processing, compression, and research. However, it has limitations in accuracy for non-periodic signals and can be affected by noise, sampling frequency, and signal length.

Jun 15, 2010

wks_19

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.

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Jun 15, 2010

0xDEADBEEF

The imaginary part is zero.

1. What is FFT?

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.

2. How is FFT calculated from ADC output?

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.

3. What is the difference between FFT and DFT?

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.

4. What are some applications of calculating FFT from ADC output?

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.

5. Are there any limitations to calculating FFT from ADC output?

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.