Signal and Systems | Subject Wise
Question 1 |

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Question 2 |



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Question 3 |

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Question 4 |
h[0] = 4, h[1] = 3, h[2] = 2, h[3] = 1,
h[-1] = - 3, h[-2] = -2, h[-3] = -1,
and h[n] is zero for [n] ≥ A length-3 finite impulse response approximation g[n] of h[n] has to be obtained such that
is minimized, where H(ejω) and (ejω) are the discrete-time Fourier transforms of h[n] and g[n], respectively. For the filter that minimizes E(h, g), the value of
10 g[-1] + g[1], rounded off to 2 decimal places, is ____________.
Fill in the Blank Type Question |
For the minimization of the energy in the error signal there are different approaches like, Prony’s method, Pade approximation. As g(n) has three samples.
Consider them as g(-1) , g(0) , g(1)
E(h,g) can be minimized by making h[n] = g[n] using rectangular window and parsval’s
theorem of DTFT.
Now, 10g[–1] + g[1] = 10 x (–3) + 3 = –27
Question 5 |
where c1 and c2 are arbitrary real numbers. The desired three-tap filter is given by
h[0] = 1, h[1] = a, h[2] = b
and
h[n] = 0 for n < 0 or n > 2.
What are the values of the filter taps a and b if the output is y[n] = 0 for all n, when x[n] is as given above?
A = 0, b = -1 | |
A = 1, b = 1 | |
A = -1, b = 1 | |
A = 0, b = 1 |

Question 6 |

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We are obtaining X(1) correctly
∴ k = 1
We know that
∴ comparing with given graph
a1 = 1, a2 = W6,
Question 7 |

It is causal and stable | |
It is causal but not stable | |
It is not causal but stable | |
It is neither causal nor stable |
For the given relation,

For n ranging from 0 to 10 present output depends on present input only.
At all other points present output depends on present and past input values.
Thus the system is “Causal”.
Stability
If x[n] is bounded for the given finite range of n i.e. 0
Thus the system is “stable”.
Question 8 |
Linear and Time Invariant | |
Causal and Linear | |
Non-Linear and Time Variant | |
Linear and memoryless |
First let us check for Linear/Non-Linear characteristics:
For input x1(t) we have=> y1(t)=x1(2t)+3
For input x2(t) we have=> y2(t)=x2(2t)+3
Now, the weighted sum of outputs can be given as: ay1(t)+by2(t)=a[x1(2t)+3]+b[x2(2t)+3]
The output due to weighted sum of inputs is:
y3(t)=T[ax1(2t)+bx2(2t)]=[ax1(t)+bx2(t)]+3
So, we can see that=> y3(t)

So, the system is non-linear
Next let us check for Time variant/invariant characteristics:
Delay the signal by T=> x(t-T)=X(2t-T)+3
y(t-T)=x(2(t-T))+3
So, from both the equations, we can interpret that: x(t-T)

So, the system is time variant.
Question 9 |
I. The complex Fourier series coefficients of x(3t) are {ak} where k is integer valued
II. The complex Fourier series coefficients of x(3t) are {3ak} where k is integer valued
III. The fundamental angular frequency of x(3t) is 6π rad/s
For the three statements above, which one of the following is correct?
only II and III are true | |
only I and III are true | |
only III is true | |
only I is true |

Question 10 |
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Question 11 |





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Question 12 |


It has two more poles at ![]() ![]() | |
It is stable only when the impulse response is two-sided. | |
It has constant phase response over all frequencies. | |
It has constant phase response over the entire z-plane. |
According to data given, we can draw the poles in z-domain as follows,

For the system to be stable, ROC should include the unit circle. From the given pole pattern, it is clear that to make the system stable, the ROC should be two-sided and hence the impulse response of the system should be also two-sided.
For LTI system to be stable ROC of Z transform of unit impulse response must include unity circle: Required ROC for above condition: 0.25 < |z| <2
Since ROC is two sided so unit impulse response must also be two sided.
Question 13 |




The same function






256 | |
64 | |
16 | |
4 |
So,


Method 2

Question 14 |


Here The value (accurate to two decimal places) of
is __________.
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Question 15 |
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Question 16 |





The minimum sampling rate


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Question 17 |

Low — pass filter | |
high — pass filter | |
band — pass filter | |
band — stop filter |

Question 18 |

Linear and time-variant | |
Linear and time-invariant | |
Non-linear and time-variant | |
Non-linear and time-invariant |

Question 19 |

The impulse responses of the systems are

If the input x(t) is a unit step signal, then the energy of y(t) is ______.
Fill in the Blank Type Question |

Question 20 |

What is the number of sinusoids in the output and their frequencies in kHz?
Number = 1, frequency = 7 | |
Number = 3, frequencies= 2,7,11 | |
Number = 2, frequencies = 2, 7 | |
Number = 2, frequencies = 2, 11 |

Question 21 |
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Question 22 |
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Always | |
Never |
T/Ts -> rational number
Here T=1.2 Ts
T/Ts = 12/10
= 6/5 (Which is rational number)
Question 23 |

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Question 24 |
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Question 25 |



The initial conditions are




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Question 26 |
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Question 27 |



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Irms = Imax because it is half wave rectifier.
Question 28 |
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i.e,.



Question 29 |


If another sequence [p, q, r] is derived as,

then the relationship between the sequences [p, q, r] and [a, b, c] is
[p, q, r] = [b, a, c] | |
[p, q, r] = [b, c, a] | |
[p, q, r] = [c, a, b] | |
[p, q, r] = [c, b, a] |

Question 30 |

2, 3 | |
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Question 31 |

h [n] is real for all n | |
h[n] is purely imaginary for all n | |
h [n] is real for only even n | |
h [n] is purely imaginary for only odd n |

Question 32 |

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Question 33 |


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So,

Question 34 |

If



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We can directly find the DFT of given sequence

DFT repeats itself 2 times as 2 zeros are added after each sample

DFT repeats itself 2 times as 2 zeros are added after each sample

Question 35 |

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Question 36 |

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Question 37 |

has z-transform X(z). If Y(z) = X(-z) is the z-transform of another signal y[n], then
Y[n]=x[n] | |
Y[n]=x[-n] | |
Y[n] = -x[n] | |
Y[n] = -x[-n] |

Question 38 |

H(s) = es + e-s
If Ck denotes the kth coefficient in the exponential Fourier series of the output signal, then C3 is equal to
0 | |
1 | |
2 | |
3 |

Question 39 |

is represented by
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Question 40 |
Fill in the Blank Type Question |

Each computation takes 20μs.



Question 41 |

Low-pass filter | |
High-pass filter | |
Band-pass filter | |
Band-stop filter |

Question 42 |
differentiating the unit ramp response | |
differentiating the unit step response | |
integrating the unit ramp response | |
integrating the unit step response |

h(t) = impulse response
s(t) = step response
Hence, the correct option is (B).
Question 43 |

Α1 = α2 = 0; α0 = –α3 | |
Α1 = α2 = 1; α0 = –α3 | |
Α0 = α3 = 0; α1 = α2 | |
Α1 = α2 = 0; α0 = α3 |

Question 44 |
It is a finite duration signal | |
It is a causal signal | |
It is a non-causal signal | |
It is a periodic signal |

Question 45 |

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From the circuit, we have

Again,


Multiplying equations (1) and (2),

For unit step response,


Hence,

Question 46 |



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Let XC be complex envelope of above signal. So, we have


Question 47 |


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Question 48 |
Fill in the Blank Type Question |
Given characteristic equation,
Applying the Routh stability criterion,
s5 1 3 - 4
s4 2 6 - 8
s 3 0 0 0
s2
s1
s0
It contains complete zero row, so we obtain the auxiliary equation as
Put x = s2,
2x2+ 6x − 8 = 0
x = 1, -4
So, s2 = 1 or s = ±1
and
Hence, one root s =− 1 lies on the left side. Taking differential of auxiliary equation,
Now, the Routh array is redrawn as
s5 1 3 -4
s4 2 6 -8
s3 8 12 0
s2 3 -8 0
s1 33.33 0
so -8
Since, there is only one sign change in the first column of Routh array, so one pole lie in R.H.S and two poles lie on imaginary axis. Hence, the remaining two poles lies in L.H.S.
Question 49 |


0 | |
1 | |
2 | |
2.2 |

Question 50 |
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Question 51 |

X(t) ![]() | |
X (t) ![]() | |
X (t) ![]() | |
The information given is not sufficient to draw any conclusion about x(t) |

the corresponding time-domain signal is real.
Question 52 |
x1[n] = {1, 2, 3, 0}, x2 [n] = {1, 3, 2, 1}
Let X1 (k) and X2 (k) be 4 –point DFTs of x1 [n] and x2 [n], respectively
Another sequence x3 [n] is derived by taking 4-point inverse DFT of X3(k) = X1 (k) X2 (k).
The value of x3 [2] is_____
35 | |
12 | |
11 | |
14 |

Question 53 |
periodic with period ![]() | |
periodic with period ![]() | |
periodic with period ![]() | |
not periodic |

Question 54 |
2 | |
3 | |
4 | |
6 |
y(t )is band limited to [−1000Hz, 1000Hz]
z(t ) = x (t ).y(t )
Multiplication in time domain results convolution in frequency domain.
The range of convolution in frequency domain is [−1500Hz, 1500Hz]
So maximum frequency present in z(t) is 1500Hz
Nyquist rate = 3000Hz or 3 kHz
Question 55 |

When a constant input of value 5 is applied to this filter, the steady state output is _______.
35 | |
40 | |
45 | |
50 |

Question 56 |
0 | |
-j | |
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Question 57 |
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does not exist. |

Question 58 |

5 | |
10 | |
15 | |
20 |

Fourier series co-efficients are also periodic with period N =10


Refer the Topic Wise Question for DFT and Its Applications Signal and Systems
Question 59 |
y(t)+5y(t)=u(t)
When y(0) = 1 and u(t) is a unit step function, y(t) is![]() | |
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Question 60 |

maximum phase | |
minimum phase | |
mixed phase | |
zero phase |
Minimum phase system has all zeros inside unit circle maximum phase system has all zeros outside unit circle mixed phase system has some zero outside unit circle and some zeros inside unit circle.

H(z)=(2z2 + 7z + 3)/z2
= (2z+1)(z+3)/z2
So zeroes are -1/2 and -3
One zero is inside and one zero outside unit circle hence mixed phase system
Refer the Topic Wise Question for DFT and Its Applications Signal and Systems
Question 61 |


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Given x[n] = x[−n]

Refer the Topic Wise Question for Z-Transform Signal and Systems
Question 62 |

If y[n] is the convolution of x[n] with itself, the value of y[4] is _________.
10 | |
15 | |
20 | |
30 |

Refer the Topic Wise Question for DFT and Its Applications Signal and Systems
Question 63 |

If the impulse response h[n] of this system satisfies the condition


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Given system equation as


Refer the Topic Wise Question for Responses and Stability Signals and Systems
Question 64 |
In the figure, M(f) is the Fourier transform of the message signal.m(t) where A = 100 Hz and B = 40 Hz. Given
and
The cutoff frequencies of both the filters are fc
The bandwidth of the signal at the output of the modulator (in Hz) is _____.
40 | |
60 | |
80 | |
100 |
m(t)


After multiplication with



After high pass filter

After multiplication with


Bandwidth = A – B
= 100 – 40 = 60
Refer the Topic Wise Question for DFT and Its Applications Signal and Systems
Question 65 |
Let
The quantities p, q, r are real numbers.
Consider
If the zero of H(z) lies on the unit circle, then
r =0.5 | |
r = -0.5 | |
r= 1 | |
r= -1 |


Refer the Topic Wise Question for Z-Transform Signal and Systems
Question 66 |

where u[n] denotes the unit step sequence. The value of A is _________.
2.345 | |
2.375 | |
3.345 | |
3.375 |

Refer the Topic Wise Question for DFT and Its Applications Signal and Systems
Question 67 |


4 | |
8 | |
7 | |
5 |



Refer the Topic Wise Question for Convolution and Its Properties Signal and Systems
Question 68 |

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Refer the Topic Wise Question for Responses and Stability Signals and Systems
Question 69 |



s + 3 | |
s - 2 | |
s – 6 | |
s + 1 |

It is given that system is stable thus its ROC includes

⇒ Poles at s = 2 must be removes so that it can be become causal and stable simultaneously.

Refer the Topic Wise Question for Responses and Stability Signals and Systems
Question 70 |
A causal LTI system has zero initial conditions and impulses response h (t). Its input x (t) and output y (t) are related through the linear constant-coefficient differential equation
Let another signal g(t) be defined as
If G(s) is the Laplace transform of g(t), then the number of poles of G(s) is _______.
0 | |
1 | |
2 | |
4 |
Given differential equation


Refer the Topic Wise Question for Responses and Stability Signals and Systems
Question 71 |


Denote this relation as X = DFT(x). For N = 4, which one of the following sequences satisfies DFT (DFT (x))=x ?
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This can be solve by directly using option and satisfying the condition given in question


DFT of (x) will not result in [1 2 3 4]
Try with DFT of Y 1 2 3 2]


Same as x
Then ‘B’ is right option
Refer the Topic Wise Question for DFT and Its Applications Signal and Systems
Question 72 |
product of h1(t) and h2(t) | |
sum of h1(t) and h2(t) | |
convolution of h1(t) and h2(t) | |
subtraction of h2(t) from hl(t) |
If the two systems with impulse response



Hence correct option is C.
Refer the Topic Wise Question for Responses and Stability Signals and Systems
Question 73 |
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Given, the input

Its Laplace transform is

The impulse response of system is given

Its Laplace transform is

Hence, the overall response at the output is

Its inverse Laplace transform is

Hence correct option is C.
Refer the Topic Wise Question for Responses and Stability Signals and Systems
Question 74 |

100 | |
300 | |
500 | |
1500 |
Given, the signal

So we have

Therefore, the respective time periods are


So, the fundament time period of the signal is

or,

Hence, the fundamental frequency in rad/sec is

Hence correct option is A.
Refer the Topic Wise Question for Responses and Stability Signals and Systems
Question 75 |
5 kHz | |
12 kHz | |
15 kHz | |
20 kHz |
Given, the maximum frequency of the band-limited signal

According to the Nyquist sampling theorem, the sampling frequency must be greater than the Nyquist frequency which is given as

So, the sampling frequency fs must satisfy

Only the option A does’nt satisfy the condition therefore, 5 kHz is not a valid sampling frequency.
Hence correct option is A.
Refer the Topic Wise Question for Sampling Theorem and Applications Signal and Systems
Question 76 |
Let and h(t) is a filter matched to g(t) is applied as input to h(t), then the Fourier transform of the output is
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The matched filter is characterized by a frequency response that is given as
where
Now, consider a filter matched to a known signal g(t). The fourier transform of the resulting matched filter output go(t) will be
T is duration of
Assume
So,
Since, the given Gaussian function is
Fourier transform of this signal will be
Therefore, output of the matched filter is
Refer the Topic Wise Question for Fouries Series and Its Application Signal and Systems
Question 77 |

0 | |
1 | |
2 | |
3 |
Given, the impulse response of continuous time system

From the convolution property, we know

So, for the input

The output of the system is obtained as

Hence correct option is B.
Refer the Topic Wise Question for Responses and Stability Signals and Systems
Question 78 |

Let x(t) be a rectangular pulse given by

Assuming that y(0) = 0 and

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Given, the differential equation

Taking its Laplace transform with zero initial conditions, we have

Now, the input signal is

i.e,

Taking its Laplace transform, we obtain

Substituting it in equation (1), we get

Hence correct option is B.
Refer the Topic Wise Question for Convolution and Its Properties Signal and Systems
Question 79 |



The DFT of the vector

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Given, the DFT of vector

D.F.T.

Also, we have

For matrix circular convolution, we know

where





Now, we know that

So,

Hence correct option is A.
Refer the Topic Wise Question for DFT and Its Applications Signal and Systems
Question 80 |


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If


In this problem,
Given,

We need





Refer the Topic Wise Question for Convolution and Its Properties Signal and Systems
Question 81 |

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So overall ROC will be intersection of there ROCs i.e

Refer the Topic Wise Question for Z-Transform Signal and Systems
Question 82 |

Time-invariant and stable | |
Stable and not time-invariant | |
Time-invariant and not stable | |
Not time-invariant and not stable |







for input x(τ) = cos (3τ) (bounded i/p)


So for bounded i/p, o/p is not bounded therefore system is not stable.
Refer the Topic Wise Question for Sampling Theorem and Applications Signal and Systems
Question 83 |
1/4 | |
1/2 | |
1 | |
2 |


……(2)
Where








So h(0) = 1
Refer the Topic Wise Question for Fouries Series and Its Application Signal and Systems
Question 84 |
0 | |
1/2 | |
1 | |
3/2 |








g[1] = 0
Refer the Topic Wise Question for Convolution and Its Properties Signal and Systems
Question 85 |
1) A parabolic function is one degree faster than the ramp function.
2) A unit parabolic function is defined as

3) Laplace transform of unit parabolic function is

Which of the above statements are correct?
1 and 2 only | |
1 and 3 only | |
2 and 3 only | |
1, 2 and 3 |
Parabolic function is defined as

∴ Laplace transform will be

∴ A parabolic function is degree faster than the ramp function.
Refer the Topic Wise Question for Basic of Signals and Systems Signal and Systems
Question 86 |

Both |a| < 1 and |b| > 1 are satisfied | |
Both |a| > 1 and |b| < 1 are satisfied | |
Both |a| < 1 and |b| > 1 are satisfied | |
Both |a| < 1 and |b| < 1 are satisfied |

∴ h(n) = anu(n) + bnu(–n–1)

For the system to be stable
| a | < 1 & | b | > 1
∴ Option A
Refer the Topic Wise Question for Z-Transform Signal and Systems
Question 87 |

The sequence x(n) into a sum of weighted impulse sequences will be
2δ(n + 1) + 4δ(n) + 3δ(n – 2) | |
2δ(n) + 4δ(n - 1) + 3δ(n – 3) | |
2δ(n) + 4δ(n – 1) + 3δ(n – 2) | |
2δ(n + 1) + 4δ(n) + 3δ(n – 1) |
Given x(n) =

∴ x(n) = 2



∴ Option A
Refer the Topic Wise Question for Basic of Signals and Systems Signal and Systems
Question 88 |
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Frequency response for rectangular window is

Main lobe width for rectangular window is

∴ Option A
Refer the Topic Wise Question for DFT and Its Applications Signal and Systems
Question 89 |
30 | |
63 | |
224 | |
256 |
In N-point DFT,
no. of multiplication =

in N-point FFT,
no. of multiplication=

required difference =256-32=224
Refer the Topic Wise Question for DFT and Its Applications Signal and Systems
Question 90 |
S= intger (K*Fs /

Where Fs = Sampling Frequency.

If x(n) is signal with frequncy rang 0.2.4 MHz and sampled at Fa = 400 MHz and it is filtered by

Assumptions :
•Passband Frequency LPF(1): 1.8 MHz, Stopband Frequency LPF(1): 4MHz
•Passband Frequency LPF(2): 1.8 MHz, Stopband Frequency LPF(2): 2 MHz
•Both filters are having flat passbands and stopbands
•Passband attenuation of both filters = 0 dB and stop band attenustion of both filters is infinity.
Calculate total no. stages SLPF1 + SLPF2
120 | |
545 | |
555 | |
665 |
Formula for calculating no. of stages (S)=integer

Given

For LPF1 :
Transition band(

= |4-1.8|
=2.2MHz


For LPF2:
input x(n) is fed after decimation by 50. So,
x(



therefore ,

now, Transition band(




Refer the Topic Wise Question for DFT and Its Applications Signal and Systems
Question 91 |


If System 1 and 2 are Linear Time Invariant systems and same input x(n) is provided both configuration
Statement 1:

Statement 2: f(n)=g(n)
Statement 1 is always true | |
Statement 2 is always true | |
Both Statement 1 and Statement 2 are always true | |
Both Statement 1 and Statement 2 are not true |
For given LTI system,
f(n)=x(n)


in frequency domain,
F(w)=X(w).




Similarly for the other LTI system,



f(n)= I.F [X(w).

g(n)=I.F[X(w).

f(n)


Refer the Topic Wise Question for Basic of Signals and Systems Signal and Systems
Question 92 |
It reduces speed requirement of A/D convertor | |
Increase the amount of digital memory necessary to capture a given interval of signal | |
Both (A) and (B) are correct | |
Both (A) and (B) are incorrect |
Bandpass sampling require less bandwidth to reconstruct the signal compare to low pass sampling. Bandpass sampling time is more i.e. speed requirement is less because it will store less sample compared to low pass sampling . it will decrease the memory requirement , because it store less sample when compared to low pass sampling
Refer the Topic Wise Question for Sampling Theorem and Applications Signal and Systems
Question 93 |
287.5 MHz | |
575 MHz | |
1150 MHz | |
1600MHz |


For minimum sampling frequency ,


Therefore , from the given option spectrum inversion occurs at 1600MHz.
Refer the Topic Wise Question for Sampling Theorem and Applications Signal and Systems
Question 94 |




0.0-j 4.0 | |
0.0 – j 0.0 | |
1.414 + j 1.414 | |
0.0 + j 4.0 |


Given ,




We have , X(m)=

X(0)=

=

As N=8, therefore , n=0,1,2,3,4,5,6,7
X(0)=x(0)+x(1)+……..x(7)
On putting different values of n in (1) we get values of x(0)….x(7). But as equation (1) is sum of sinusoidal function , sinusoidal has real values lies in[-1,1]. So all values of x(n) will also be real.
Refer the Topic Wise Question for Sampling Theorem and Applications Signal and Systems
Question 95 |
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X(w)=

As we know the properties of F.T


(-jt)

t

=

Refer the Topic Wise Question for Fouries Series and Its Application Signal and Systems
Question 96 |



What is x[n] in terms of unit discrete step function u(n)?
2(0.2)nu(n)-(0.1)nu(n) | |
2(0.1)nu(n)-(0.2)nu(n) | |
(0.2)nu(n)-(0.1)nu(n) | |
(0.1)nu(n)-(0.2)nu(n) |
expression for DTFT is :
X[


x[n] =

DTFT of

Therefore,
X[


Using partial fraction,

On solving we get, A=2,B=-1

Now taking inverse DTFT of


Refer the Topic Wise Question for Z-Transform Signal and Systems
Question 97 |
0 dB | |
1 dB | |
3 dB | |
6 dB |
x(t)=A sin (wt)

=

Given, Duty cycle =


Therefore,

=

Peak power =

=


10

Refer the Topic Wise Question for Basic of Signals and Systems Signal and Systems
Question 98 |
1, 0


0, otherwise
}
h(t) = {
t, 0


0, otherwise
}
Calculate y(t) =x(t) * y(t), where * denotes convolution for interval T


0 | |
0.5t2 | |
Tt – 0.5T2 | |
-0.5t2 + Tt +2.5T2 |
y(t) = x(t) * y(t) .

y(t)=

= [T(


= T

Refer the Topic Wise Question for Convolution and Its Properties Signal and Systems
Question 99 |
H2(z)=1+z-2
H3(z)=1+z-1+z-2is
recursive and K = 3 | |
systematic and K = 2 | |
non recursive and k=3 | |
non recursive and K = 2 |
In a convolution encoder, convolution of the input signal and impulse response is done. A convolution encoder is a time invariant system, and non-recursive codes are simply non-systematic codes. The given transfer functions clearly represents a non-recursive encoder(first), and z transform is what connects a transfer function with impulse response. Also, the constraint length of the given encoder is 3.
Refer the Topic Wise Question for Convolution and Its Properties Signal and Systems
Question 100 |

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We have to find the response of a matched filter at t=T.
Now, matched filter response is given as: h(T-t)
Let us first draw h(t)

Now, h(t+T)='+' left shift by 'T'

Next: h(-t+T)=> h(T-t)
So, now it can be drawn as:

Refer the Topic Wise Question for Responses and Stability Signals and Systems
Question 101 |
Autocorrelation function and energy spectral density forms a Fourier transform pair | |
Autocorrelation function of a real valued energy signal is a real valued odd function | |
The value of autocorrelation function of a power signal at the origin is equal to the average power of the signal | |
Autocorrelation function is the inverse Fourier transform of power spectral density |
Auto-correlation function is also called as serial correlation.
For auto-correlation function, following property exist:
Rxx(т)= F.T(Sxx(f))
And, Rxx(т)=

Sxx(f)=

Refer the Topic Wise Question for Convolution and Its Properties Signal and Systems