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Transform Time-Domain Data into Frequency Domain

This example shows how to transform time-domain data into the frequency domain using the FFT block.

Note: To open the example and the associated models, you must have MATLAB® open.

Use the Sine Wave block to generate two sinusoids, one at 15 Hz and the other at 40 Hz. Use the Matrix Sum block to add the sinusoids point-by-point to generate the compound sinusoid:

$u=sin(2*15 \pi t)+sin(2*40 \pi t)$

Transform this sinusoid into the frequency domain using an FFT block. See the ex_fft_tut model:

The scope shows peaks at 15 and 40 Hz, as expected. You have now transformed two sinusoidal signals from the time domain to the frequency domain.

You can use a Spectrum Analyzer block in place of the sequence of FFT, Complex to Magnitude-Angle, MATLAB Function, and Array Plot blocks. The Spectrum Analyzer computes the magnitude FFT and shifts the FFT internally. See the ex_time_freq_sa model:

The blocks in the Power Spectrum Estimation library compute the FFT internally.

See Also

Functions

Blocks

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