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WorksheetsEC 8352 SS IAT#3
Total questions: 50
Worksheet time: 34mins
Compute the ZT of a DT signal x(n)= (1,2,3,4,0,1)
1 + 2z + 3z2 + 4z3 + z4
1 + 2z + 3z2 + 4z3 + z5
1 + 2z-1 + 3z-2 + 4z-3 + z-5
1z2 + 2z + 3 +z-1 + z-3
Z-transform of an impulse function is……
z
z2
1
z3
The two signal x(n) = an u(n) and x(n) = -an u(-n-1) have ROC z>a and z<a respectively.
True
False
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
Fourier Transform is used to analyse any elementary signals at different frequencies due to?
Convert from time domain to frequency domain
Convert from frequency domain to time domain
Both a & b
None of the above
If x(n) is a DT signal then the equation x (n – n0 ) indicates the basic ………..property.
Linearity
Time Reversal
Frequency Shifting
Time Shifting
If [x(n)↔X(z)] and [y(n)↔Y(z)]. The linearity property of Z-Transform states
ax(n)+by(n) ↔ aX(z).bY(z)
ax(n).by(n) ↔ aX(z)+bY(z)
ax(n)+by(n) ↔ aX(z)+bY(z)
ax(n).by(n) ↔ aX(z).bY(z)
If FT{x1(n)}=X1(w) and FT{x2(n)}=X2(w) then FT{x1(n)*x2(n)}=?
X1(w).X2(w)
X1(w)+X2(w)
X1(w)*X2(w)
None of the mentioned
What is the convolution x(n) of the signals x1(n)={-1,0,1} and x2(n)={1,0,1,0,1,2} ?
{1,1,0,0,0,0,1,2}
{-1,0,0,0,0,-2,1,2}
{-1,1,0,0,0,0,1,-2}
{1,-1,0,0,0,0,-1,2}
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
Region of Convergence is defined as
Value of z for which the z transform converges
Value of frequency for which the z transform exists
range of frequency for which the signal gets transmitted
range in which the signal is free of noise
A discrete time system is said to causal and Linear Time Invariant when
Its ROC covers outside the largest pole
Its ROC covers inside the largest pole
Its ROC covers outside the unit circle
Its ROC covers inside the unit circle
The causal sequences have ______ components in the right hand sequences.
Positive
Negative
Both a and b
None of the above
Find x(∞) if X(z) = Z/(z−0.5)2
1
0.5
∞
0
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
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}
Given that W=e-i(2π/N) , where N=3. Then F=WN can be computed as F=
0
1
-1
e
The circular convolution of two sequences in time domain is equivalent to
Multiplication of DFTs of two sequences
Summation of DFTs of two sequences
Difference of DFTs of two sequences
Square of multiplication of DFTs of two sequences
The time system which operates with a continuous time signal and produces a continuous time output signal is
CTF system
DTF System
Time invariant System
Time variant System
Discrete or continuous data?
Discrete
Continuous
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 fourier transform is also called the analysis of discrete time signal x(n)
True
False
The Fourier Transform of a signal is also called
Frequency Spectrum
Phase Spectrum
Signal Spectrum
None of the Above
The Fourier Transform of a discrete time signal is periodic with period 2 π
True
False
The overlap of frequency spectrum is called
Band Of frequency
Aliasing
Sampling
None of the Above
Due to Aliasing the information shifts from one band of frequency to another band of frequency
True
False
The Fourier series representation can be obtained only for______ Discrete time signals.
Periodic
Nonperiodic
Both periodic and non periodic
None
The Fourier transform technique can be applied to ______ discrete time signals.
Periodic
Non Periodic
Both Periodic and Non periodic
NOne
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]
According to Time shifting property of z -transform, if X(z) is the z -transform of x(n) then n what is transform of x(n-k)?
Z^k X(Z)
Z^-k X(Z)
X(Z-k)
X(Z+k)
A real valued signal x(n) is called as anti-symmetric if
a) x(n)=x(-n)
b) x(n)=-x(-n)
c) x(n)=-x(n)
d) None of the mentioned
Consider the z – transform 𝑋(𝑧) = 5𝑧 2 + 4𝑧 −1 + 3; 0 < |𝑧| < ∞. The inverse z – transform 𝑥[𝑛] is
(a) 5𝛿[𝑛 + 2] + 3𝛿[𝑛] + 4𝛿[𝑛 − 1]
(b)5𝛿[𝑛 − 2] + 3𝛿[𝑛] + 4𝛿[𝑛 + 1]
(c) 5𝑢[𝑛 + 2] + 3 𝑢[𝑛] + 4 𝑢[𝑛 − 1]
(d)5𝑢[𝑛 − 2] + 3 𝑢[𝑛] + 4 𝑢[𝑛 + 1]
Two discrete time systems with impulse responses ℎ1 [𝑛] = 𝛿[𝑛 − 1] and ℎ2 [𝑛] = 𝛿[𝑛 − 2] are connected in cascade. The overall impulse response of the cascaded system is
(a) 𝛿[𝑛 − 1] + 𝛿[𝑛 − 2]
(b)𝛿[𝑛 − 4]
(c) 𝛿[𝑛 − 3]
(d)𝛿[𝑛 − 1] 𝛿[𝑛 − 2]
The region of convergence of the Z-Transform of the signal 2 ^n u(n) − 3^n u(−n − 1) is
(a). ӏzӏ>1
(b). ӏzӏ<1
(c). 2<ӏzӏ<3
(d). Does not exist
The unilateral Z-Transform of sequence x[n] = {1,2,2,1} is
1+2z+2z^2+z^3
z^3+2z^2+2z+1/z
1+2z^-1+2z^-2+z^-3
None of the above
Out of the three transforms viz. Z-transform, Laplace transform and Fourier transform
A.all three are used in continuous time domain
B.all three are used in both continuous time domain and discrete time domain
C.Z transform is used in continuous time domain while Laplace and Fourier transforms are used in discrete time domain
D.Z transform is used is discrete time domain while Laplace and Fourier transforms are used in continuous time domain
A system is stable if ROC
A.include the unit circle
B.exclude the unit circle
C.Lies on the circle
D. Entire plane
What is the set of all values of z for which X(z) attains a finite value?
a) Region of convergence
b) Radius of divergence
c) Feasible solution
d) None of the mentioned
What is the ROC of the system function H(z) if the discrete time LTI system is BIBO stable?
Entire Z plane except at z=0
Entire Z plane except at z=infinity
contains unit circle
none
if z{x1(n)}= X1(z) and z{x2(n)}= X2(z) ,then z{x1(n)* x2(n)} is given ny
X1(z).X2(z-1)
X1(z).X2(z)
X1(z-1).X2(z)
X1(z).X2(-z)
Continuous signal can be converted to discrete signal by the process of
(a)
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
Z-transform is linear
True
False
The Z-transform of
δ(n+k)>0 isz−k, z=0
zk,z=0
z−k, all z
zk,all z
Z-transform of the sequence {2k},k≥0 is z−2z
True
False
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 Inverse Z−transform of(z+1)2zis
(−1)n+1
n(−1)n−1
(−1)n−1
n(−1)n+1
