This application note discusses how FFTs can be calculated using Intel's MCS 96 microcontrollers. A review of fourier analysis is presented, along with the specific code
required for a 64 point real FFT. FFTs are most often used in determining what frequencies are present in an analog signal. By providing a tool to identify specific waveforms by their frequency components, FFTs can be used to compare signals to one another or to set patterns. This type of procedure is used in speech detection and engine knock sensors. FFTs also have uses in vision systems where they identify objects by comparing their outlines, and in radar units to detect the dopler shift created by moving objects.
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27018902.pdf
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