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Introduction to the Fourier Transform

Given a continuous time LTI system with impulse response tex2html_wrap_inline1171 , recall that the response (if it's well defined) to the input signal tex2html_wrap_inline841 is tex2html_wrap_inline1005 , where tex2html_wrap_inline997 is the frequency response of the system. Now let's calculate the response to the input signal tex2html_wrap_inline1297 in terms of the impulse response:

eqnarray248

From this, we see that the integral above in the square brackets must be the frequency response:

displaymath1287

The right hand side of the above equation is known as the Fourier Transform of the signal tex2html_wrap_inline1171 . Thus, the frequency response of an LTI system is the Fourier transform of the system's impulse response.

We know that an LTI systems frequency response completely specifies the system. If the system maps real input signals to real output signals, one way of characterizing the system, in principle, is to do an infinite set of experiments: For each possible frequency tex2html_wrap_inline743 , apply the input signal tex2html_wrap_inline1303 and measure the output signal, which must be a sinusoid of frequency tex2html_wrap_inline743 . The amplitide and phase of the output signal gives us the magnitide and angle of the frequency response at frequency tex2html_wrap_inline743 , tex2html_wrap_inline845 . However, we also know that we can measure the system with only one experiment: apply the unit impulse as the input signal and measure the impulse response. As we will see, the unit impulse contains all frequencies, and in a sense in this case we are really doing the same infinite set of experiments, but all at once.



R. L. Cruz
Fri Dec 25 20:53:17 PST 1998