Continuous Time Fourier Transform-Digital Signal Processing-Assignment, Exercises of Digital Signal Processing

This assignment wa given by Prof. Bhuvanesh Sankuratri at Baddi University of Emerging Sciences and Technologies for Digital Signal Processing course. Its main points are: Continuous, Time, Fourier, Transform, Rectangular, Pulse, Symmetric, Periodic, Function, Frequencies

Typology: Exercises

2011/2012

Uploaded on 07/14/2012

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8
Continuous-Time
Fourier Transform
Recommended
Problems
P8.1
Consider
the
signal
x(t),
which
consists
of
a single
rectangular
pulse
of
unit
height,
is
symmetric
about
the
origin,
and
has
a
total
width
T1.
(a)
Sketch
x(t).
(b)
Sketch
t(t),
which
is
a
periodic
repetition
of
x(t)
with
period
To
=
3T
1
/2.
(c)
Compute
X(w),
the
Fourier
transform
of
x(t).
Sketch
IX(w)
I
for
Iw s
6w/Ti.
(d)
Compute
a,,
the
Fourier
series
coefficients
of
t(t).
Sketch
ak
for
k
=
0
+1,
+2,
3.
(e)
Using
your
answers
to
(c)
and
(d),
verify
that,
for
this
example,
1
ak
=
1-XM
(w)
/
(f)
Write
a
statement
that
indicates
how
the
Fourier
series for
a
periodic
function
can
be
obtained
if
the
Fourier
transform
of
one
period
of
this
periodic
function
is
given.
P8.2
Find
the
Fourier
transform
of each of
the
following
signals and
sketch
the
magni-
tude
and
phase
as a
function
of
frequency,
including
both positive
and
negative
frequencies.
(a)
b(t
-
5)
(b)
e
-a'u(t),
a
real,
positive
(c)
e
(-I+j
2
)tu
(t)
P8.3
In
this
problem
we
explore
the
definition
of
the
Fourier
transform
of
a
periodic
signal.
(a)
Show
that
if
x3
(t)
=
axi(t)
+
bx
2
(t),
then
X3(w)
=
aXi(w)
+
bX
2
(w).
(b)
Verify
that
e-= -
2,7b(w
-
wo)ej-t
dw
From
this
observation,
argue
that
the
Fourier
transform
of
eiwO'
is
27rb(w
-
wo).
(c)
Recall
the
synthesis
equation for
the
Fourier
series:
k=
-00
P8-1
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8 Continuous-Time

Fourier Transform

Recommended

Problems

P8. Consider the signal x(t), which consists of a single rectangular pulse of unit height, is symmetric about^ the^ origin,^ and^ has^ a^ total^ width^ T 1. (a) Sketch x(t). (b) Sketch t(t), which^ is^ a^ periodic^ repetition^ of^ x(t)^ with^ period^ To^ =^ 3T^1 /2.

(c) Compute X(w), the Fourier transform^ of^ x(t).^ Sketch^ IX(w)^ I^ for^ I w^ s^ 6w/Ti.

(d) Compute a,, the Fourier series coefficients of t(t). Sketch ak for k = 0 +1, +2, 3. (e) Using your answers to (c) and (d), verify that, for this example, 1 ak = (^) 1-XM (^) (w) (^) / (f) Write a statement that^ indicates^ how^ the^ Fourier^ series for^ a^ periodic^ function can be obtained if the Fourier^ transform^ of^ one^ period^ of^ this^ periodic^ function is given.

P8. Find the Fourier transform of each of^ the^ following^ signals and^ sketch^ the^ magni tude and phase as a function of^ frequency,^ including^ both positive^ and^ negative frequencies. (a) b(t - 5) (b) e -a'u(t), a^ real,^ positive (c) e (-I+j^2 )tu (t)

P8. In this problem we explore the^ definition^ of^ the^ Fourier^ transform^ of^ a^ periodic signal. (a) Show that if x 3 (t) = axi(t) + bx 2 (t), then X 3 (w)^ =^ aXi(w)^ +^ bX^2 (w). (b) Verify that

e-= -^ 2,7b(w^ -^ wo)ej-t^ dw

From this observation, argue that the Fourier transform^ of^ eiwO'^ is^ 27rb(w^ -^ wo). (c) Recall the synthesis equation for^ the^ Fourier^ series:

k= -

P8-

Signals and Systems P8-

By taking the Fourier transform of both (^) sides and using the results to parts (a) and (b), show that 2irk k~)= 2ra T

(d) Sketch X(w) for your answer to Problem P8.1(d) for I oI 4ir/To.

P8. (a) Consider the often-used alternative (^) definition of the Fourier transform, which we will call X,(f). The forward transform is written (^) as

Xa(f) = f (^) x(t)e -j 2 f t^ dt,

where f is the frequency variable in hertz. Derive the inverse transform (^) formula for this definition. Sketch X(f) for the signal discussed in Problem P8.1. (b) A second, (^) alternative definition is

Xb(v) = 1 x(t)ej" dt

Find the inverse transform relation.

P8. Consider (^) the periodic signal t(t) in Figure P8.5-1, which is composed (^) solely of impulses.

X(t)

(^2) 'e (^) ' (^) t -7 -6 -S (^) -4 -3 -2 -1 0 1 (^2) 3 4 5 6 7 Figure P8.5-

(a) What^ is^ the^ fundamental^ period^ To? (b) Find the Fourier series of I(t). (c) Find^ the^ Fourier^ transform^ of^ the^ signals^ in^ Figures^ P8.5-2^ and^ P8.5-3.

(i) I I

Signals and Systems P8-

(e) IXe(Co)l 4 Xe o 1 -

-1 +

Figure P8.6-

Optional

Problems

P8. In (^) earlier lectures, the response of an LTI system to an input (^) x(t) was shown to be y(t) = x(t) __* h(t), where h(t) is the system impulse response. (a) Using the fact that

y(t) = x(t) * h(t) (^) = x(r)h(t - (^) r) dr,

show that

Y(w) =^ f^ f^ x(r-)h(t^ -^ r)e^ j^ dr^ dt

(b) By appropriate change of variables, show that Y(w) (^) = X(w)H(w), where X(w) is the Fourier transform of x(t), and H(w) is the Fourier transform of (^) h(t).

P8. Consider the impulse train

p(t) = (^ ot^ -^ kT) k=- shown in^ Figure^ P8.8-1.

Continuous-Time Fourier Transform / Problems P8-

p (t)

t -2T -T 0 T 2T

Figure P8.8-

(a) Find the Fourier series of^ p(t).

(b) Find the Fourier transform^ of^ p(t).

(c) Consider the signal x(t) shown in^ Figure^ P8.8-2,^ where^ Ti^ <^ T.

x( t)

_-T T T1 T 2 2

Figure P8.8-

Show that^ the^ periodic^ signal^ t(t),^ formed^ by^ periodically^ repeating^ x(t), satisfies

2(t) = x(t)*^ p(t)

(d) Using the result to Problem^ P8.7^ and^ parts^ (b)^ and^ (c)^ of^ this^ problem,^ find^ the Fourier transform^ of^ t(t)^ in^ terms^ of^ the^ Fourier^ transform^ of^ x(t).