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SS202B 2017midterm Sol

The document is a midterm exam for a signals and systems course. It contains questions about properties of signals and systems including topics like periodicity, linearity, time-invariant systems, and Fourier analysis. The exam has multiple choice and free response questions worth a total of 100 points across chapters covering these subject areas.

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0% found this document useful (0 votes)
14 views9 pages

SS202B 2017midterm Sol

The document is a midterm exam for a signals and systems course. It contains questions about properties of signals and systems including topics like periodicity, linearity, time-invariant systems, and Fourier analysis. The exam has multiple choice and free response questions worth a total of 100 points across chapters covering these subject areas.

Uploaded by

박천우
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 9

Name:

SS 202B Signals & Systems Mid-term Exam (Page 1 / 9) Student ID No.:

[Score table]

Chapter 1 Chapter 2 Chapter 3 Matlab Total


Prob. 3 3 3 3 3 10 5 5 10 5 10 10 10 10 10 100
Score

Problems & Solutions


[Chapter 1 | 17 points]
Determine whether or not each of the following statement is true or false. Justify your answers.

 j
n
(1-1) [3 pts] (True/False) is periodic

n
 j     

 j
n j n j ( n8m ) j n j n
(True)  e 2  e 4 e 4  e 4 e j 2 m  e 4 (periodic with fundamental period 8 )
 
 

t
(1-2) [3 pts] (True/False) y (t )  

e  (t  ) x ( ) d is invertible

t t
(True) Assume that y1 (t )   
e (t  ) x1 ( )d and y2 (t )   e(t  ) x2 ( )d . Then from y2 (t )  y1 (t ) 


x2 (t )  x1 (t ) , the system is invertible.

(1-3) [3 pts] (True/False) The energy of a signal x(t ) is equal to the sum of energies of its even and odd functions,
i.e.,
  
 
x 2 (t )dt   xe2 (t )dt   xo2 (t )dt
 

x (t )  2 xe (t ) xo (t )  xo 2 (t ) dt . Because
 
 x 2 (t )dt   2
(True) e xe (t ) xo (t ) is an odd function, its
 
  
integration will be zero. Therefore,  
x 2 (t )dt   xe2 (t )dt   xo2 (t )dt .
 

(1-4) [3 pts] (True/False) The system represented by the following input/output relation is linear.
t
y (t )   x( ) d  1
t 1

t
(False) If we give a  x(t ) as the input signal, y(t )  a   t 1
x( )d  1  a  y (t ) .

(1-5) [5 pts] A complex signal x(t )  Ae j e jt ( A is real and A  0 ). Express the average power of its real part
in terms of A . The average power of a signal f (t ) is given by
Name:
SS 202B Signals & Systems Mid-term Exam (Page 2 / 9) Student ID No.:

1 T
T  T 0
2
lim f (t ) dt

Answer) A2 / 2

1 T A2
Re  x(t )  A  cos(t   ) , the average power is
T 0
2
A cos( t   ) dt  .
2

[Chapter 2 | 35 points]
Consider a causal linear time-invariant (LTI) system described by the difference equation

y[ n]  e 2  y[ n  2]  x[ n]  e 4  x[ n  4] (  0) --- (1)

(2-1) [10 pts] Find impulse response h[n] of this system.

Answer) h[n]   [ n]  e
2 
 [n  2]
- Impulse response:
y[n] for x[n]   [n]  y[n]  e 2  y[n  2]   [n]  e 4   [n  4]

- Causal LTI system  Condition of initial rest:


 [n]  0 for n  0  y[n]  0 for n  0

- Substitute impulse input:


y[0]   [0]  1
y[1]   [1]  0
y[2]   [2]  e 2  y[0]  e 2  y[0]  e 2 
y[3]  0
y[4]  e 4   [0]  e 2  y[2]  0
and y[n]  0 for n  4

Therefore y[ n]   [ n]  e  [ n  2] and h[n]   [ n]  e  [ n  2]


2  2 

(2-2) [5 pts] Determine frequency response H (e j ) of this system.

Answer) For x[n]  e j n , y[n]  H (e j )e j n  H (e j )  1  e2  e 2 j

(2-3) [5 pts] Describe the characteristic of the frequency response H (e j ) obtained from Prob. (2-2): low-pass,
high-pass, band-pass?
Name:
SS 202B Signals & Systems Mid-term Exam (Page 3 / 9) Student ID No.:

Answer) Band-pass
Solution)
| H (e j ) | (1  e 2  cos(2 ))2  e 4  sin 2 (2 )  1  e 4   2e 2  cos(2 )
 (1  e 2  ) 2  2(1  e 2  cos(2 ))


: has a maximum when    .
2
1
| H (e j ) | increases at   [0,  ]
2
1
| H (e j ) | decreases at   [  ,  ]
2

(2-4) [10 pts] Find impulse response hinv [n] of the causal LTI inverse system of (a) such that h[ n]  hinv [ n ]   [n] .
(Hint: switch x[n] and y[n] of the given differential equation (1) and find its impulse response.)

e   n u[ n] for even n,
Answer) hinv [ n]  
 0 for odd n

Solution) Let switch x[n] & y[n]  x[ n]  e 2  x[ n  2]  y[ n]  e 4  y[ n  4]

- Impulse response:
y[n] for x[n]   [n]  y[n]  e 4  y[n  4]   [n]  e2   [n  2]

- Condition of initial rest:


 [n]  0 for n  0  y[n]  0 for n  0

- Substitute impulse input:


same method as (2-1)

e   n u[ n] for even n,
Therefore hinv [ n]  
 0 for odd n

(2-5) [5 pts] Determine whether the derived inverse system is stable or not.

Answer) Stable
 
1
 | hinv [k ] | e2  k 
k  k 0 1  e 2 
: converges

[Chapter 3 | 40 pts]
Name:
SS 202B Signals & Systems Mid-term Exam (Page 4 / 9) Student ID No.:

(3-1) [10 pts] Suppose that the Fourier series coefficients of a periodic signal xT (t ) with fundamental period
T  4 (Figure 3-1) are given by ak .

Figure 3-1

Express real and imaginary parts of the Fourier series coefficients bk of the following signal in terms of ak .

Figure 3-2

Answer)

Real part: 2sin(k0 )  Im ak 


Imag part: 2cos(k0 )  Im ak  .

Solution) Figure 3-2 is the 1 sec delay of the odd part of Fig. 3-1 ( xT (t  1)  x ( (t  1)) ).

From the properties of Fourier series, F .S . xT (t  1)  e  ak and F .S . xT ((t  1))  e jk0  ak* .
 jk0

Therefore,

F .S . xT (t  1)  xT ( (t  1))  e  jk0  ak  ak* 


 e  jk0  2 j  Im ak  .

 Real part: 2 sin( k0 )  Im ak 


 Imag part: 2 cos(k0 )  Im ak  .
Name:
SS 202B Signals & Systems Mid-term Exam (Page 5 / 9) Student ID No.:

(3-2) [10 pts] Exponential sequences of period N  10 and their Fourier series coefficients (both real & imaginary
parts) are shown below. Find matching pairs & justify your answers.

Answer) (A)- ( ), (B)-( ), (C)-( ), (D)-( )


Name:
SS 202B Signals & Systems Mid-term Exam (Page 6 / 9) Student ID No.:

Answer) (A)- (4), (B)-(1), (C)-(2), (D)-(3)


Solution)
By property of Fourier series, if the x[ n] is even function, then ak is a purely real for all k . Therefore, (A) and
(B) must be matched with (1) and (4).

In Fourier series, when k  0 , a0   x[n] . The infinite sum of (A) is larger than (B), so it should be matched
n 

with (4) which has larger ak . Hence, (B) should be matched with (1).

(D) is an odd function, therefore the Fourier series coefficients of (D) are a purely imaginary. As a result, (D)
corresponds to (3), and because (C) is neither even nor odd function, (C) should be matched with (2).
Name:
SS 202B Signals & Systems Mid-term Exam (Page 7 / 9) Student ID No.:

(3-3) [10 pts] Three signals of the same period and area S are given in Figure 3-3. The Fourier series coefficients

a
2
of these signals are denoted by ak . Which one of these signals has the smallest k ? Justify your answer.
k 1

Figure 3-3

Answer) (A)
Solution)

1   2 2
a   ak   a0 
2
For a real signal, k 
k 1 2  k   

1
 
2 2
By Parseval’s relation, x (t ) dt  ak .
T T
k 

1
From the property of Fourier series expansion (temporal mean), a0 
T 
T
x (t ) dt

1 1 
 2
1 
a  T x (t )dt 
2 2
k   x (t ) dt    --- (1)
k 1 2  T T
T 

For a rectangular signal of duration L and area S , the level of signal is S / L . Therefore,
2
1 1 S S2 S

2
x (t ) dt     L  . Likewise, the temporal mean is given by a0  .
T T T L LT T

1  S2 S2  S2 1 1 

2
From (1), ak     .
k 1 2  LT T 2  2T  L T 
 

a a
2 2
The largest L gives the smallest k . Therefore, (A) has the smallest k .
k 1 k 1
Name:
SS 202B Signals & Systems Mid-term Exam (Page 8 / 9) Student ID No.:

(3-4) [10 pts] Suppose that a periodic function fT (t ) has Fourier series coefficients of ak . Prove that the

maximum real value of the Fourier series coefficients bk of the signal gT (t )  fT (t )
2

2
is equal to ak .
k 

fT (t )*  a* k (conjugation property)


 
gT (t )  fT (t )* fT (t )  a* k  ak  a *
a
 m k m  a *
a
m k m (multiplication  convolution property)
m  m 


Therefore, the problem is asking the maximum real value of bk  a
m 
*
a
m k m .


Consider an inequality  |a
m 
m  ak  m |2  0 .

 a 
 

 |a
2 2
 m  ak  m |2  m  ak  m  am* ak  m  am ak*  m  0
m  m 

   

   (a  am ak* m )   2 Re[am* ak  m ] .
2 2
Let I  am  ak  m , and *
a
m k m
m  m  m  m 

The inequality can now be rewritten as



  
 am  Re   am* ak  m   Re bk 
2

m  m  

   
Re   am* am    am . Therefore, the maximum of Re bk  is
2
The equality (=) holds when k  0 
m   m


2
given by ak
k 

[Matlab problem]
(10 pts) Suppose that a matrix A is given as follows:

1 0 0 0 0
 1 1 0 0 0 
 
 1 1 1 0 0 
 
 1 1 1 1 0 
A
 0 1 1 1 1 
 
 0 0 1 1 1
 0 0 0 1 1 
 
 0 0 0 0 1
Express the output Y of the following operation in Matlab.
Name:
SS 202B Signals & Systems Mid-term Exam (Page 9 / 9) Student ID No.:

b=1j *(0:4);
c= zeros(1,8);
c(2) = 1;
Y= c*A*b’

Answer) -j

Sol)

c   0 1 0 0 0 0 0 0

 0 
 j 
 
b  0 j 2 j 3 j 4 j   b   2 j  : conjugate transpose
 
 3 j 
 4 j 

c * A  [ 1 1 0 0 0 ]
(2nd row)

 0 
 j 
 
cAb  [ 1 1 0 0 0]  2 j    j
 
 3 j 
 4 j 

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