314 CHAPTER 5: Frequency Analysis: The Fourier Transform
Applying the frequency shifting to
x(t)cos( 0 t)=0.5x(t)ej^0 t+0.5x(t)e−j^0 t
we obtain the Fourier transform of the modulated signal (Eq. 5.13). In communications, themessage
x(t)(typically of lower frequency content than the frequency of the cosine) modulates thecarrier
cos( 0 t)to obtain themodulated signal x(t)cos( 0 t). Modulation is an important application of the
Fourier transform, as it allows us to change the original frequencies of a message to much higher
frequencies, making it possible to transmit the signal over the airwaves.
Remarks
n As indicated before, amplitude modulation consists in multiplying an incoming signal x(t), or
message, by a sinusoid of frequency higher than the maximum frequency of the incoming signal. The
modulated signal is
x(t)cos( 0 t)=0.5[x(t)ej^0 t+x(t)e−j^0 t]
with a Fourier transform, according to the frequency shifting property, of
F[x(t)cos( 0 t)]=0.5[X(− 0 )+X(+ 0 )]
Thus, modulation shifts the frequencies of x(t)to frequencies around± 0.
n Modulation using a sine, instead of a cosine, changes the phase of the Fourier transform of the incoming
signal besides performing the frequency shift. Indeed,
F[x(t)sin( 0 t)]=F
[
x(t)ej^0 t−x(t)e−j^0 t
2 j
]
=
1
2 j
X(− 0 )−
1
2 j
X(+ 0 )
=
−j
2
X(− 0 )+
j
2
X(+ 0 )
where the−j and j terms add−π/ 2 andπ/ 2 , respectively, radians to the signal phase.
n According to the eigenfunction property of LTI systems, modulation systems are not LTI. Modulation shifts
the frequencies at the input to new frequencies at the output. Nonlinear or time-varying systems are
typically used as amplitude modulation transmitters.
nExample 5.7
Consider modulating a carrier cos( 10 t)with the following signals:
- x 1 (t)=e−|t|,−∞<t<∞. Use MATLAB to find the Fourier transform ofy 1 (t)=x 1 (t)cos( 10 t)
and ploty 1 (t)and its magnitude and phase spectra. - x 2 (t)=0.2[r(t+ 5 )− 2 r(t)+r(t+ 5 )], wherer(t)is the ramp signal. Use MATLAB to plotx 2 (t)
andy 2 (t)=x 2 (t)cos( 10 t)and compute and plot the magnitude of their Fourier transforms.