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A spectrum analyzer is an instrument used to characterize signals in the frequency domain. | [[Image:Reports_Tools_Ribbons_391.png|framed]] | ||
Frequency-domain displays show a parameter (usually amplitude) versus frequency. A spectrum analyzer takes an analog input signal (a time domain signal) and converts it to the frequency domain. The resulting spectrum measurement shows the energy of each frequency component at each point along the frequency spectrum. | [[image:ASB_FFT.png|right]] | ||
A spectrum analyzer is an instrument used to characterize signals in the frequency domain.<br> | |||
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Frequency-domain displays show a parameter (usually amplitude) versus frequency. A spectrum analyzer takes an analog input signal (a time domain signal) and converts it to the frequency domain. The resulting spectrum measurement shows the energy of each frequency component at each point along the frequency spectrum.<br> | |||
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FFT spectrum analyzer uses digital signal processing to sample the input signal and convert it to the frequency domain. This conversion is done using the Fast Fourier Transform (FFT), the math algorithm used for transforming data from the time domain to the frequency domain.<br> | |||
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FFT spectrum analyzer is a powerful instrument, since their processing power can extract both magnitude and phase, and can also switch easily between the time and frequency domains. It makes them ideal measuring instrument for acoustic, vibration analysis, measures for audio, electronic, telephone equipments, measures for electricity networks, seismic analysis, control of manufacture and monitoring.<br> | |||
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The NVGate FFT plug-in is used to compute the input signal FFT (you can also compute time signals in post analysis mode with the Player module). | |||
Up to 4 FFT plug-in can be present in the software configuration, each of them running independent analyses on the same or different channels. | |||
==Connect To FFT== | ==Connect To FFT== | ||