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8/13/2019 AE57_AC57_AT57
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AE57/AC57/AT57 SIGNALS AND SYSTEMS JUNE 2013
© IETE 1
Q2 (a) Determine whether the following signals are periodic or not of periodic
then find its fundamental period
(i) ( )2n1)n(x −=
(ii)∑
∞
−∞=
−δ−=
k
k
)k 2t()1()t(x
Answer
(i) ( )2n1)n(x −=
For given signal to be periodic
2 Nisx(n)of period
1)1((-1) 2 N
11(-1) 1 N
)1(12)1(
if periodic)(
)1.....(....................2)1)((
2)1()1(
2)1(
))(1()(
)()(
442 N
2n1
2
2
2
2
2
2
22
2
=∴
=−==
≠−==
−==+−
∴
+−=+−−=
++−=
+−=+∴
=+
++
+
lFundamenta
for
for
nN
isn x
nN n x
nN
nN N
N n N n x
n x N n x
nnN
m N
N
N n
n
(ii) ∑∞
−∞=
−−=k
k k t t x )2()1()( δ
For x(t) to be periodic x(t+T)=x(t)
∑∞
−∞=
−+−=+∴k
k k T t T t x )2()1()( δ
Performing a change of variables
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© IETE 2
4x(t)of period lfundamenta 4
22
)1(1(-1)
periodic betox(t)
)1)((
)1)(2()1(
)2()1()(
2
2
22
22
T
2
2
2
=∴=
=
−==
−=
−−−=
−−=+
+=
−=−
−=−
∑
∑
∞
−∞=
∞
−∞=
+
mT
mT
for
t x
mt
mt T t x
mT
K
mK T
mT T
m
T
T
k
m
k
m
T
δ
δ
Q2 (b) For each of the following systems determine whether it is Memoryless,
Causal, Stable, Linear and Time invariant.
(i) )]n(x[log)n(y e=
(ii) )n(x)n(y 2=
Answer (i) )]n(x[log)n(y e=
As the present output depends on the present input only ∴ system is memory less,causal• Assuming that input signal x(n) satisfies the condition |x(n)| ∞
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© IETE 3
Invariant-Timeis)(y)(ysin
)]([log)(y
)]([log
)]([log)(yi/pshifted toingcorrespond /
)()(x/
)]([log)(y
Linear - Nonis
)()()]()([log)]([log)(y
linear betosystem
)()()(x
)]([log)()(
)]([log)()(|
012
0101
01
22
012
11
21
2133
213
222
111
systemnnnce
nn xnn Now
nn x
n xn pO
nn xn pshiftedi
n x x
System
nbynay
nbxnaxn xn
for
nbxnaxnlet
n xn yn x
n xn yn x
e
e
e
e
ee
e
e
∴ −=
−=−
−=
=
−=
=
∴
+≠+==
+==
=↔=
=↔
(ii) )()( 2n xn y =
• System has memory since the value of output signal y(x) at time n depends on thefuture inputs
)/)(/)( 2000 n xn ynnn y ===
∴ It is not memory less• For bounded i/p system gives a bounded o/p ∴ System is BIBO stable.• system is Non-Causal since present value of o/p y(n) depends on the future values
of input signal x(n)
• Consider two arbitrary inputs )()()( 2111 n xn yn x =↔ )()()( 2222 n xn yn x =↔
Let )()()( 213 nbxnaxn x +=
If system is linear them
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© IETE 4
Variant-Timeis
)()(
))((x )(y
)()(y
)()(y i/pshifted toingcorrespond o/p)()(xi/pshifted the
)()(y*
linearissystem RHSLHS
)(y)(y
)()()()(y*
linearisSystem
)(
)()()()(
)()()(
012
20101
02
12
222012
211
21
22
21
211
2)(1
22
21
233
213
system
nn yn y
nnnn Now
nn xn
n xnnn xnconsider
n xn
Since
RHS nbna
nbxnaxn xn
RHS LHS Since
RHS nbyay
nbxnaxn xn y LHS
nbynayn y
n
∴
−≠∴
−=−
−=
=−=
=
∴=
=+=
+==
∴=
=+=
+====>
+=
Q3 (a) Find the trigonometric Fourier series for the triangular wave shown in
Fig.1 and hence plot its line spectrum.
Answer
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© IETE 5
Waveform is periodic write period T=2
& Fundamental FrequencyT
wπ 2
0 =
( ) )
[ ]
n
n
n
n
T
n
T
abnanline
t t t
t nwaat x
na
nn
n
t n
n
t nt
dt t nt
dt t nwt xT a
t t
dt t dt t xT
a
Thet
t t x
=+=
++++=
+=∴
=
==
−=
−−=
−=
==
=−=>
−==
=∴
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© IETE 6
Q3 (b) A continuous time periodic signal is real valued and has a fundamental
period T= 8 .The non zero Fourier series coefficients for x(t) are
2XX 11 == − , j4XX*
33 == − . Express x(t) in the form
∑
∞
=
Φ+ω=
0n nnn)t(CosA)t(x
Answer Given:
)24
3cos(8)
4cos(4)(
43sin8)4cos(4
4422
x(t)have
48
28
4/34/34
33
0
4
00
π π π
π π
π π
π π
π π
++=
−=
−++=
+=
==∴=
−−
∞
−∞=
−−
−∑
t t t x
t t
je jeee
e X e X we
wT
t jt j jt j
n
t w jt jw
n
t
Q3 (c) Find the time domain signal corresponding to following DTFS coefficients
Answer
π+
π=11
6k sin j2
11
4k cosXk
)9(2
11)8(11)3(11)2(
2
11x(n)
equationstwoabove the
)(
11
)1(2
11)8(11)3(11)2(
2
11
11
1
2
1
2
1
2
1
2
1
2
1
2
1
,21
0
11210
0
811
2311
2911
2211
2
1111
23.11
211.11
2211
2211
2
116
114
114 11
6
−+−−−+−==
=
−+−−−+−=
−++=
−++=
−++=
∑
∑−
=
=
−
− −
nnnn
Comparing
en x N X
ennnn
eeee
eeeee
eeee
nk N
j N
K k
nk j
k
k jk jk jk j
k jk jk jk jk j
k jk jk j k j
δ δ δ
δ δ δ δ
π
π
π π π π
π π π π π
π π π π
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© IETE 7
Q4 (a) State and Prove duality property of Continuous Time Fourier Transform.
Using it, find the Fourier Transform of following signals
(i) jt1
1)t(g
+=
(ii) 2t1
1
)t(x +=
Answer
)(2
1
1
)(2 jt1
1
x(-w)2x(t)
duality to
jt1
1 x(t)& )(a)(
jw1
1 x(w)& )(a)(
1
1)(a
1a
1)(e
g(t)of expressionin thet with w& jw1
1 x(w)
jt1
1g(t) (i)
x(-w)2x(t)
)]([x(-w)2
)(x(-w)2
w.and tvariables the
)(x(-t)2
t- bytReplace
)(x(t)2
)(2
1x(t) -: proof
x(-w)2then x(t)
x(w)x(t)of property
w
t-
t-
at-
wue
jt
f
wue
According
wuw x
t ut x
jwt u
ingSubsititut jwa
t u
replace Define
t x F
dt et x
ing Interchang
dwew x
dwew x
dwew x
Duality
w
w
jwt
jwt
jwt
jwt
−=
+
−↔+
↔
+=−=−
+==
+↔
=
+↔
+=
+=
↔
=
=
=
=
=
↔
↔
∫
∫
∫
∫
∞
∞−
−
∞
∞−
−
∞
∞−
∞
∞−
π
π
π
π
π
π
π
π
π
π
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© IETE 8
||
2
||
2
||
2
|-|-w
2
|-|-w
2
|t|a-
2
|t|a-
2|t|a-
22
|t|a-
2
.1
1
.t1
1
2
1.2
t1
1
x(-w)2X(t)
Duality .
e2
1
1
1 x(t)e
2
1)(
1
1 x(w)and e
2
1)(
1
1e
2
1
1 2e 1a
2e ,have we
t1
1 x(t))(
w
w
w
et
F
e
e
to Acc
t w x
wt x
w
wPut
wa
a
ii
−
−
−
=
+=
↔+
=
↔+
=
↔
=
+==−
+==
+↔
+↔=
+↔
+=
π
π
π
π
Q4 (b) Consider a stable LTI system characterized by the differential equation
)t(x2dt
)t(dx)t(y3
dt
)t(dy4
dt
)t(yd 2
2
+=++
(i) Find the frequency response )(H ω and impulse response h(t) of thesystem.
(ii) What is the response of this system if the input )t(ue)t(x t−=
Answer
)t(x2
dt
)t(dx)t(y3
dt
)t(dy4
dt
)t(yd
2
2
+=++
Taking Fourier Transform on both sides
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© IETE 9
)(2
1)(
2
1h(t)
Transformfouriesinverse3
1.
2
1
1
1.
2
1)(
)3)(1(
2
34)(
2
)(
)()(
)(2)()(3)(4)()(
3
2
2
t uet ue
Jaking
jw jww H
jw jw
jw
jw jw
jw
w x
w yw H
w xw jwxw yw jwyw y jw
t t −− +=
++
+=
+++
=++
+==
+=++
Q5 (a) Suppose that a system has the response )n(u)4
1( n to the input
)n(u)2
1)(2n( n+ .If the output of this system is )n(u)
2
1()n( n−−δ ,what
is the input?
Answer
)(4
1
2
1
4
1y(t)
Transformfouriesinverse
)3(
1
4
1
)1(
1
2
1
1
1
4
1)(
)3()1(
2)3)(1(
2
jw1
1x(w).H(w))(
jw1
1) x(w
)(eGiven x(t) )(
3
2
2
-t
t uetee
Taking
jw jw jww y
jw jw
jw jw jw
jww y
t uii
t t t
−+=
+−
++
+=
+++
==>
++
+
+
==
+=
=
−−−
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© IETE 10
jw
jw
jw
jw
n
jw
jw
jw
jw jw
jw
jw
n
jw
jw
jw jw
jw
nn
n
e
e
e
e y
nuGiven
e
e
e x
e y
e H
e
e y
nuGiven
e
e
ee
e
Taking
nnn
nuGiven
−
−
−
−
−
−
−
−
−−
−
+=
+−=
−=
−
−
==
−=
=
−
−=
−+
−
=
+
=
+=
2
11
2
1
2
11
11)(
)(2
1-(n)y(x)
4
112
2
11
)(
)(
)(
4
11
1)(
)(4
1 y(n)
2
11
4
112
2
11
12
2
11
2
1
)x(e
equationabovetheof DTFT
)(42
12)(4
2
1
)(2
13)(n) that x(n
2
2
2
jw
δ
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© IETE 11
)(2
1
4
1)1(
2
1
8
3)1(
2
1
8
3x(n)
DTFTinverse
2
11
81
2
11
83
2
11
83
2
11
2
11
4
11
2
11
2
1
2
11
4
112
)(
2
11
4
112
)(
11
2
2
2
2
2
2
nunnunu
Taking
e
e
e
e
e
e
ee
ee
e
e
e
e
e y
e
e
e x
nnn
jw
jw
jw
jw
jw
jw
jw jw
jw jw
jw
jw
jw
jw
jw
jw
jw
jw
+−
+−
−=
−
+
−
+
+
=
+
−
−
=
+
=
−
−
=
=
−
−
=
−−
−
−
−
−
−
−
−−
−−
−
−
−
−
−
−
Q5 (b) State and Prove convolution property of Discrete Time Fourier
Transform. Using it determine the convolution )n(x)n(x)n(x21
∗= of
the sequences, where
)1n()n()1n()n(x)n(x 21 −δ+δ++δ==
Answer
Convolution property:
If
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© IETE 12
[ ] [ ]
)
[ ]
[ ]
}1,2,,3,2,1{
)2()1(2)(3)1(2)2()(
232
)()2(3
(2w)cos2wcos43
wcos21
)().()()(xF
property,conditionUsing
wcos21
1
)()()(
)1()()1(}"{")()()()()()(
)()()()(
term bracketed theo property tshiftingtime
)()(
summationof orderthe
()(
)(x)()(x)(f -: proof
)()()(x)(then
)()( x)()(
22
22
2
2121
1
1
121
21
2121
2112
21
21
2121
2121
2211
=−+−+++++==
++++=
++++=
++=+=
=+
+=++=
=
==
−+++=↑==↔×=
==
−=
−=
+=+
↔+
↔↔
−−
−−
−
−=
−
−∞
−∞=
∞
−∞=
−∞
−∞=
−∞
−∞=
∞
−∞=
−∞
−∞=
∑
∑
∑∑
∑ ∑∑
nnnnnn x
eeee
eeee
e xe xn xn
ee
e
en xe xe x
nnnn xn x
e xe xn xn x
e xe xe xe x
Apply
emn xm x
ing Interchang
emn xm x
enn xnn x
e xe xnn x
e xne xn x
w j jw jww j
w jw j jw jw
jw jw
jwn jwn
n
jwn
jwn
n
jw jw
jw jw
jw jw jw jw
n
jwn
m
jwn
n m
jwn
n
jw jw
jw jw
δ δ δ δ δ
δ δ δ
Q6 (a) Determine the conditions on the sampling interval TS so that each x(t) is
uniquely represented by the discrete time sequence x(n) = x(nTS). (i) )t4sin()t2sin(3)tcos()t(x π+π+π= (ii) )t2(csin)t6sin(3)t(csin)t2cos()t(x π+π=
Answer )4sin()2sin(3)cos()( t t t t x π π π ++=
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© IETE 13
Comparing it with
4
1T intervalsampling
4max2f
sec/82wfrequencySampling
2
2
f or4
4,2,
)sin()sin(),cos(,)(
s
s
maxs
maxmox3
321
3322
≤
=≥
=≥∴
====
===
++=
Hence
Hz f or
rasw
wwW
www
t w At w At w At x
mox
π
π π
π π π
[ ]
[ ] [ ]
8
1T IntervalSampling
82f freq.Sampling
42
wf or8wisfreq.Maximum
)8cos()4cos(4
3)sin()3sin(
t2
1
2
)2sin()6sin(3)sin()3sin(
)2(
1
2
)2sin()6sin(3
)sin()2cos(
)2(sin)6sin(3)(sin)2cos()(Given)(
s
maxs
moxmaxmox
≤
=≥
===
−+−=
+−=
+−
=
+=
Hz f
t t t
t t
t
t t t t
t
t
t t
t
t t
t ct t ct t xii
π π
π π π
π π π
π
π π π π
π
π
π π
π
π π
π π
Q6 (b) A causal LTI system is described by the differential equation
)t(x)t(y2dt
)t(dy=+
Determine:
(i) The frequency response of the system
(ii) The group delay associated with the system
(iii) Output of the system to the input x(t)=e-tu(t)
(iv) Output of the system if the input has its fourier transform
)2 j(1 j) jw(X
+ω +ω=
Answer (i) Taking F.transform both the sides of given equ
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© IETE 14
{ }
[ ]
[ ] )(4ey(t) transformfouriesinverse
)2(
1)().()(
)(eey(t)
transformfouriesinverse
2)(jw
1
1)(jw
1
2)1)(jw(jw
1(jw)H(jw)y(jw)
1 jw
1 x(jw)
)(e x(t))(
4
2
2
1.
21
1
2tan)()(
2-tanH(jw) )(
2
1
x(jw)
y(jw)H(jw)
x(jw)2y(jw)y(w)
22t-
2
2t-t-
t-
22
1
1-
t te
Taking
jw
jw jw X jw H iv
t u
Taking
t uiii
ww
w
dw
d jw H
dw
d wT
wii
jw
jw
t −
−
−=
+
+=
−=
+−
+=
++=×=
+=
=
+=
+
=
−−=∠−=
=∠
+==
=+
Q7 (a) Consider the signal )1t(ue)t(x t5 −= − and its Laplace Transform be X(s)
(i) Evaluate X(s) and find its ROC
(ii) Determine the values of the finite numbers A and t 0 such thatthe Laplace transform G(s) of )tt(uAe)t(g 0
t5
−−=
−
has thesame algebraic form as X(s).What is the ROC corresponding
to G(s)?
Answer
(i) By definition
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© IETE 15
{
[ ]
-5R{s}R.O.C 5
)55(
)55(0)5(
1)55(
)55(
1
)55(1
1)(
1t 01t 1
)1(
)1()(
)()5(
>+
+−
=
+−−+−=
∞
+−
+−=
∫∞
+−=∫∞
−−=
<>=−
∫∞
∞−
−−−=
∫∞
∞−
−=
s
t e
t es
t e
dt t
edt st
est
es
x
t u
dt st
et ust
es x
dt st
et x x
{ } 5sR R.O.C
-1.to-1,A
)8()8(..........5
)(
5
)(
00)0(0
00)0(1)(
)(
)()(
)(
0
0
0
)5(
0)5(
0
)5(5
0
0
5
−<
==
=+
−=
+
−=
==
−>→ 1
(ii) Re{s} < - 2
(iii) -2 < Re{s} < 1
Answer
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© IETE 16
{ } 1)(
12)(
)1(
1
)1(
1
)1)(2(
3)(
>
−
−−
+=
−+
−=
s ROCR
iand haspolesat s X
ss
sss X
Is to the right of the eight most poles so both poles correspond to casual signals.
1}{2)(
)()(-e)(
1
1)(e-
2
1)(e-
signalsanticasualtocorrespond poles bothso poleleftmostof leftthetois2)(
)(
)()()(
1
1)(
2
1)(
2t-
t-
2t-
2
2
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Q8 (a) Determine the signal x(n) whose z-transform is given
by az),az1log()z(X 1 >+= −
Answer
11
1)
)((
1
)(),1log()(
1
2
1
−+
−−=−
+
−=
>+=
−
−
−
az
az
dz
zdx Z
az
az
dz
zdx a zaz z X
Take inverse Z-transform
||||1
)()(
||||1
1)()(
1
1)(
1)(
11
1)()(
1
1
1
1
11
11
a zazanuaa
a Z
aznua
aznua
knowwe
az
az znnx
az
az z
dz
zdx z
n
n
n
>+↔−
>+
↔−
−↔
+
−=
−+
−−=
=−=
−
−
−
−
−−
−−
Using time –shifting property,
)1()1(1
)1()(
)(
)1()()(
||||1
)1()(
||||1
)1()(
1
1
1
1
11
−−=−−−
=
−−−=
>+
↔−−−
>+
↔−−
+
−
−
−
−−
nuan
nun
an x
nuannx
lyconsequent
a zaz
aznua
a zaz
aznuaa
nnn
n
n
n
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Q8 (b) Find the inverse z-transform of1
1
z)3/1(1
z1)z(X
−
−
−
+=
When,
(i) ROC: |z| > 1/3
(ii)
ROC : |z| < 1/3, using power series expansion
Answer
......27
4
9
4
3
41
....,.........27
4,
9
4,
3
4,0)(
......27
4
9
4
3
41)(
27
4
27
4
9
4
94
9
4
3
4
3
11
13/11
321
321
3
32
2
21
1
11
++++
=∴
+++=∴
−
−
−
+−
−−
−−−
−
−−
−
−−
−
−−
z z z
n x
z z z z x
z
z z
z
z z
z
z z
.....36z-12z-3-
36z
36z-12z
12z
12z-4
4
3
113
1
)(
2
2
2
1
11
+
−
++−−
−−
z
z z
ii
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Q9 (a) A random variable X has the uniform distribution given by
( )
π≤≤π=
otherwise0,
2x0for ,2
1xf X
Determine its mean and variance
Answer
[ ]
33
4
][][var
34
321
21
2
1.)(][
22
1.
2
1
2
1.)(
222
222
2
2
0
32
0
2
2
0
222
2
0
22
0
2
0
π π π
π π π
π
π π π
π
π
π
π
ρ π
π
=−=
−=
===
==
===
==
∫
∫∫
∫
∫∫
∞
∞−
∞
∞−
x E x E iancex
xdx x
dx xdx x fx x x E
xdx x
dx xdx x xfxm x
Q9 (b) A WSS random process X(t) with autocorrelation function ||aX e)(R τ−=τ
where a is a real positive constant is applied to the input of LTI system
with impulse response h(t) = e-bt
u(t) where b is real positive constant.
Find the autocorrelation function of the output Y(t) of the system.
Answer Frequency response H/W of the system
H (W) =F [h(t)]=1/jw+b
Power spectral density of X(t) isSx (w) = F [Rx(z)]=
( )
+−−
+−=
+
+==
+
22222222
2222
2
22
22
)(
21)(|)(|)(
2
aw
a
bba
b
bw
b
bba
a
bw
a
bwwsxw H wsr
aw
Taking inverse Fourier transform on both sides
[ ]|||/22 )(
1)( eaeb beae
bbac R
−− −+
=λ
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Text Books
1. Signals and Systems, A.V. Oppenheim and A.S. Willsky with S. H. Nawab,
Second Edition, PHI Private limited, 2006.
2. Communication Systems, Simon Haykin, 4th Edition, Wiley Student Edition, 7th
Reprint 2007.