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WorksheetsEC8352-SIGNALS AND SYSTEMS-MODEL 2
Total questions: 45
Worksheet time: 3600secs
Damped sinusoids are _____
sinusoid signals multiplied by growing exponentials
sinusoid signals divided by growing exponentials
sinusoid signals multiplied by decaying exponentials
sinusoid signals divided by decaying exponentials
Which mathematical notation specifies the condition of periodicity for a continuous time signal?
x(t) = x(t +T0)
x(n) = x(n+ N)
x(t) = e-αt
None of the above
A system is said to be shift invariant only if______
a shift in the input signal also results in the corresponding shift in the output
a shift in the input signal does not exhibit the corresponding shift in the output
a shifting level does not vary in an input as well as output
a shifting at input does not affect the output
Which among the following are the stable discrete time systems?
1. y (n) = x (4n)
2. y (n) = x (-n)
3. y (n) = ax (n) + 8
4. y (n) = cos x (n)
1 & 3
2 & 4
1, 3 & 4
1, 2, 3 & 4
A system which is linear is said to obey the rules of
homogeneity
scaling
additivity
both scaling and additivity
A signal g(t) = A then g(t) is a
energy signal
power signal
neither energy nor power signal
insufficient data
The Fourier series of an odd periodic function contains
odd harmonics only
even harmonics only
cosine harmonics only
sine harmonics only
What is the nature of Fourier representation of a discrete & aperiodic signal?
Continuous & periodic
Discrete & aperiodic
Continuous & aperiodic
Discrete & periodic
Which property of periodic signal in DTFS gets completely clarified / identified by the equation x (n – n0)?
Conjugation
Time Shifting
Frequency Shifting
Time Reversal
How does Fourier series make it easier to represent periodic signals?
Harmonically related
Periodically related
Sinusoidally related
Exponentially related
If x(t) and y(t) are two periodic signals with coefficients Xn and Yn then the linearity is represented as?
ax(t) + by(t) = aXn + bYn
ax (t) + by(t) = Xn + bYn
ax(t) + by(t) = aXn + Yn
ax(t) + by(t) = Xn + Yn
Generally, the convolution process associated with the Laplace Transform in time domain results into________
Simple multiplication in complex frequency domain
Simple division in complex frequency domain
Simple multiplication in complex time domain
Simple division in complex time domain
According to the time-shifting property of Laplace Transform, shifting the signal in time domain corresponds to the ______
Multiplication by e-st0 in the time domain
Multiplication by e-st0 in the frequency domain
Multiplication by est0 in the time domain
Multiplication by est0 in the frequency domain
What should be the value of laplace transform for the time-domain signal equation e-at cos ωt.u(t)?
1 / s + a with ROC σ > – a
ω / (s + a) 2 + ω2 with ROC σ > – a
s + a / (s + a)2 + ω2 with ROC σ > – a
Aω / s2 + ω2 with ROC σ > 0
If the Laplace transform of a signal y(t) is Y(s)=s(s−1)1 then its final value is
-1
0
1
Unbounded
When do DTFT and ZT are equal?
When σ = 0
When r = 1
When σ = 1
When r = 0
Find the Z-transform of δ(n+3).
z
z2
1
z3
The z-transform of a signal X(n) whose definition is given by X(z)=
n=0∑∞x(n)z−n is known asUnilateral Z-transform
Bilateral Z-transform
Rational Z-transform
None of the above
For what kind of signals one sided Z-transfrom is unique
All signals
Anti-causal signal
Causal signal
None of the above
The value of the Radius of convergence of f(n)=2n,n<0 is
0< ∣z∣ <1
-2< ∣z∣
∣z∣ <2
z-plane
The ROC of u(n)=4n,for n<0;2n,for n≥0 is
0<z<1
z<4
2<z
2<z<4
The value of inverse z−transform of log(z+1z)is
n(−1)nfor n=0; 0 otherwise
n(−1)n
0, for n=0; n(−1)n,otherwise
0
According to Time shifting property of z-transform, if X(z) is the z-transform of x(n) then what is the z-transform of x(n-k)?
zkX(z)
z-kX(z)
X(z-k)
X(z+k)
The Dirichlet condition for (DTFT) is……
DT Signal should be absolutely differentiable
DT Signal should be absolutely multipliable
DT Signal should be absolutely integrable
DT Signal should be absolutely summable
The DTFT is used to
convert frequency spectrum domain to discrete time domain
convert discrete time domain to continuous frequency
spectrum domain
convert analog signal to digital signal
convert digital signal to analog signal
∫−∞∞ (t−2)2δ(t−2)dt
4
2
(t−2)
0
The signal x(t)=A sin(ωo t+ϕ) is
a power signal
an energy signal
periodic signal
both periodic and power signal
x(t)=r(t) −r(t−2) is a
power signal
energy signal
nor power nor energy
both energy and power
What is the period of the following signal, x(t) = sin(18*pi*t + 78 deg)?
1⁄9
2⁄9
1⁄3
4⁄9
For the signal, x(t) = log(cos(a*pi*t+d)) for a = 50 Hz, what is the time period of the signal, if periodic?
0.16s
0.08s
0.12s
0.04s
Fundamental frequency of
ω=Nπm
ω=N2πm
ω=m2πN
ω=N4πm
If the Fourier series coefficients of x(t) are cn , the the Fourier series coefficients of x(−t) is given by
cn
c−n
−cn
−c−n
For the signal shown in above figure, which of the following is x(3t)
Find the Fourier series representation of the signal is
x(t)=3cos2πt and determine the Fourier series coefficients.c0=1, c1=61, c−1=61
c1=61
c−1=61
c1=61, c−1=61
Determine the odd component of the signal: x(t)=cost+sint.
sint
2sint
cost
2cost
Find the fourier transform of an exponential signal f(t) = e-at u(t), a>0
1/
a+jω
1/
a-jω
1/
-a-jω
1/
-a+jω
Find the fourier transform of the unit step function
πδ(ω) + 1/ω
πδ(ω) + 1/jω
πδ(ω) – 1/jω
δ(ω) + 1/jω
Laplase of 1 is
1/s-a
1/s
1/s+a
0
Find the Fourier Transform of an Exponential signal
f(t)=e−atu(t),a>0a+jw1
a−jw1
−a+jw1
−a−jw1
If x(n) is a DT signal then the equation x (n – n0 ) indicates the basic ………..property.
Linearity
Time Reversal
Frequency Shifting
Time Shifting
Determine the Nyquist rate and Nyquist interval for Cos(4πt).
4 Hz, 0.25 sec
0.5 Hz, 0.5 sec
0.5 Hz, 2 sec
2 Hz, 0.5 sec
The Nyquist theorem for sampling (choose from arguments given below)
1) Converts time domain to frequency domain
2) Helps in quantization
3) Limits the bandwidth requirement
4) Provide the spectrum of the signal
only 3 is correct
1 and 2 are correct
1 and 3 are correct
All the four are correct
What is the DTFT of the four point sequence x(n)={1,0,1,0}?
{-2, 0,-2,0}
{2,-2-2j,2,-2+2j}
{2,-2+2j,-2,-2-2j}
{2,0,2,0}
The transforming relations performed by DTFT are
1)Linearity
2) Modulation
3) Shifting
4) Convolution
1, 2 and 3 are correct
1, and 2 are correct
1 and 3 are correct
All the four are correct
The z – transform of a system is 𝐻(𝑧) = 𝑧 /𝑧 − 0.2 If the ROC is |𝑧| < 0.2, then the impulse response of the system is
(a) (0.2)^ 𝑛 𝑢[𝑛]
(b) (0.2)^2 𝑢[−𝑛 − 1]
(c) −(0.2) ^2 𝑢[𝑛]
(d)−(0.2)^ 𝑛 𝑢[−𝑛 − 1]
