FFT-based algorithm for metering apps

The Fast Fourier Transform (FFT) is a mathematical technique for transforming a time-domain digital signal into a frequency-domain representation of the relative amplitude of different frequency regions in the signal. The Fast Fourier Transform is a method for doing this process very efficiently. The FFT may be computed using a relatively short excerpt from a signal.

The Fast Fourier Transform is one of the most important topics in Digital Signal Processing. The FFT is extremely important in the area of frequency (spectrum) analysis: for example, voice recognition, digital coding of acoustic signals for data stream reduction in the case of digital transmission, detection of machine vibration, signal filtration, solving partial differential equations, and so on.

This application note describes how to use the FFT in metering applications, especially for power and energy computing in power meters.

View the PDF document for more information.

Originally published by Freescale Semiconductor at www.freescale.com as "FFT-Based Algorithm for Metering Applications".