NOTE: There are 11 Questions in all.
Question
1 is compulsory and carries 16 marks. Answer to Q. 1. must be written in the
space provided for it in the answer book supplied and nowhere else.
Answer
any THREE Questions each from Part I and Part II. Each of these questions
carries 14 marks.
Any
required data not explicitly given, may be suitably assumed and stated.
Q.1 Choose
the correct or best alternative in the following: (2x8)
a.
is
(A) an energy signal.
(B) a power signal.
(C)
neither an energy nor a power
signal.
(D) an energy as well as a power signal.
b. The spectrum of x (n) extends from
, while that of h(n) extends from
. The spectrum of
extends from
(A)
. (B)
.
(C)
. (D)
.
c. The
signals
and
are both bandlimited
to
and
respectively. The Nyquist sampling rate for the signal
will be
(A)
. (B)
.
(C)
. (D)
.
d. If a periodic function f(t) of period T
satisfies
, then in its Fourier series expansion,
(A) the constant term will be
zero.
(B) there will be no cosine terms.
(C) there will be no sine terms.
(D) there will be no even
harmonics.
e. A band pass signal extends from 1 KHz to 2
KHz. The minimum sampling frequency needed to retain all
information in the sampled signal is
(A)
1
KHz. (B) 2 KHz.
(C) 3 KHz. (D) 4 KHz.
f. The
region of convergence of the z-transform of the signal ![]()
(A)
is
. (B) is
.
(C) is
. (D) does not exist.
g. The number of possible regions of convergence
of the function
is
(A)
1. (B) 2.
(C) 3. (D) 4.
h. The Laplace transform of u(t) is A(s) and the
Fourier transform of u(t) is
. Then
(A)
. (B)
.
(C)
. (D)
.
Answer
any THREE Questions. Each question carries 14 marks.
Q.2 a. The signal x(t) shown below in Fig.1 is
applied to the input of an
(i) ideal
differentiator. (ii) ideal integrator.
Sketch the responses. (1+4=5)

b. Sketch the
even and odd parts of
(i) a
unit impulse function (ii) a unit step function
(iii) a unit ramp function. (1+2+3=6)
c. Sketch the function
. (3)
Q.3 a. Under what conditions, will the system
characterized by
be linear,
time-invariant, causal, stable and memory less? (5)
b. Let E denote the energy of the signal x
(t). What is the energy of the signal x
(2t)? (2)
c. x(n), h(n) and
y(n) are, respectively, the input signal, unit impulse response and output
signal of a linear, time-invariant, causal system and it is given that
where * denotes
convolution. Find the possible sets of
values of
and
. (3)
d. Let h(n) be the impulse response of the LTI
causal system described by the difference equation
and let
. Find
. (4)
Q.4 Determine
the Fourier series expansion of the waveform f (t) shown below (Fig.2) in terms
of sines and cosines. Sketch the
magnitude and phase spectra. (10+2+2=14)

Q.5 a. Show
that if the Fourier Transform (FT) of x (t) is
, then
FT
. (3)
b. Show,
by any method, that FT
. (2)
c. Find the unit impulse response, h(t), of the
system characterized by the relationship :
. (3)
d. Using
the results of parts (a) and (b), or otherwise, determine the frequency
response of the system of part (c). (6)
Q.6 Let

denote the Fourier
Transform of the signal x (n) shown below (Fig.3).
Without explicitly finding out
, find the following :-
(i) X (1) (ii) 
(iii) X(-1) (iv) the sequence y(n) whose Fourier
Transform
is the real part of
.
(v)
. (2+2+3+5+2=14)
Answer
any THREE Questions. Each question carries 14 marks.
Q.7 a. If the z-transform of x (n) is X(z) with ROC
denoted by
, find the
z-transform of
and its ROC. (4)
b. (i) x (n) is a real right-sided sequence having
a z-transform X(z). X(z) has two poles,
one of which is at
and two zeros, one of
which is at
. It is also known
that
. Determine X(z) as a
ratio of polynomials in
. (6)
(ii) If
in part (b) (i),
determine the magnitude of X(z) on the unit circle. (4)
Q.8 Determine, by any method, the output
y(t) of an LTI system whose impulse response h(t) is of the form shown in
fig.4(a),

to the periodic excitation x(t) as shown in fig.4(b). (14)
Q.9 Obtain
the time function f(t) whose Laplace Transform is
. (14)
Q.10 a. The
unit impulse response of an LTI causal system is h(t). If the input to the system is a random
process of mean value
and a constant power
spectral density So, find the mean and mean
squared values of the output y(t). (6)
b. The joint
probability density function of two random variables X and Y is
,
![]()
Find
K. Are X and Y independent? Also find the probability that
and
. (8)
Q.11 a. Define the terms variance, co-variance and correlation coefficient
as applied to random variables. (6)
b. Given Y = mX + c, where X and Y are random variables, and m and c
are constants, which may be positive or negative, find the mean value, mean squared
value and the variance of Y, in terms of those of X. Also find the co-variance and the correlation coefficient of X
and Y. (8)