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P-1Classify the following signals as one or multi-dimensional, single or multi-channel, continuous or discrete time and analog or digital: 1.Temperature, humidity, flow and pressure in an HVAC system....

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P-1Classify the following signals as one or multi-dimensional, single or multi-channel, continuous or discrete time and analog or digital:

1.Temperature, humidity, flow and pressure in an HVAC system.

2.HDTV

3.FM radio

4.HD radio

5.Internet radio

P-2A signal is described as f(t)=5cos(5000t) is sampled at 40000samples/sec.

1.Calculate the sample values for one period.

2.What is the Nyquist sampling rate for this waveform?

3.If the samples are converted to 8 bits, find bits for each sample values.

4.What is the quantization step value and quantization error?

5.Calculate signal to quantization noise ratio.

P-3A signal is given by the following equation:

x(n) = 1for n=1,2,3,4

= -2 for n=4,5,6

= 0 elsewhere.

Plot the following signals:

1.x(n-2)

2.x(n+2)

3.x(-n)

4.x(2n)

5.x(n/2)

P-3Let x(n)=[ XXXXXXXXXX] and y(n)=[ XXXXXXXXXX]

1.Find cross-correlation sequence for x and y.

2.Find autocorrelation sequence for x and y.

3.Find the convolution sequence z(n) for x and y.

4.Plot above three sequences using MATLAB and verify your hand calculations for those sequences.

P-4A system is described by the following difference equation:

y(n)=x(n)-2x(n-1)-x(n-2)-4y(n-1)-2n(y-2)

1.Find the transfer function H(z) for this system.

2.Find the impulse response h(n) for this system.

P-5Find the z-transform for the following discrete-time sequences:

1.x(n) = nsin(2n)u(n)

2.x(n) = cos(2n)u(n)

3.x(n) = ne -n sin(2n)u(n)

4.x(n) = n3e-2n u(n)

5.y(n) = x(n/2)

P-6Obtain the inverse z-transform of the following transfer functions in all possible ROC:

1.(z3 – z)/((z-3)(z2-4z-3))

2.(z(z – 2))/((z-1)(z-3))

3.sin(5)/(z-1 – 5)

4.7/(1 + 0.3z-1 – 0.1z-2)

5.z/(z2 - 2z + 1)

P-7A discrete-time system has zeros at z = 1 and z = 5 and poles at z = 2, z = 3 and z = - 2.

1.Write the transfer function, H(z), of this system.

2.Find the impulse response, h(n), of this system.

3.If a sequence x(n) = [1 1 -1] is the input to this system, determine its output sequence, y(n).

P-8A given sequence y(n) = [1 2 2 1] is represented by sum of polynomials in z using Prony’s method.

1.Find the coefficients, ci and aifor the Prony’s method.

2.Represent the series y(n), as Prony’s series using coefficients aiand zin.

P-9For each of the systems shown below, determine whether or not the system is linear, time-invariant, causal and stable:

1.y(n) = x(n+3);

2.y(n) = x(2-n) + A, where A is a non-zero constant;

3.y(n) = (x(n-1))2;

4.y(n) = x(n) - y(n-1) -2y(n-2) -0.5x(n-1) – 2x(n-2).

P-10For the initially relaxed system shown in the figure-1 below:

1.Find the system transfer function H(z).

2.Find the impulse response h(n) for the system.

3.Find the inverse transfer function H-1(z).

4.Find the impulse response h(n) for the inverse transfer functionH-1(z).

5.Is the system described by H-1(z), causal and stable?

Answered Same Day Dec 21, 2021

Solution

Robert answered on Dec 21 2021
131 Votes
Solution:
P-1 Classify the following signals as one or multi-dimensional,
single or multi-channel, continuous or discrete time and analog or
digital:
1. Temperature, humidity, flow and pressure in an HVAC
system.
2. HDTV
3. FM radio
4. HD radio
5. Internet radio
Solution:
One/multi
dimensional
Single/multi
channel
Continuous
discrete
Analog /
digital
Temperature,
humidity,
flow and
pressure in
an HVAC
system
one Multi continuous Analog
HDTV multi Multi Discrete Digital
FM Radio One Single Continuous Analog
HD Radio One Single Discrete Digital
Internet
Radio
one Multi Discrete Digital
P-2
40000samples/sec.
1. Calculate the sample values for one period.
2. What is the Nyquist sampling rate for this waveform?
3. If the samples are converted to 8 bits, find bits for each
sample values.
4. What is the quantization step value and quantization e
or?
5. Calculate signal to quantization noise ratio.
Solution:
Sampling Frequency= 40000 samples/sec
Sampling Time = 1/Sampling frequency
= 2.5 x 10
-5
sec
Time Period of f(t) = 1/ frequency
= 1/5000
= 20 x 10
-5
sec
Samples of f(t) at the interval given by sampling time is tabulated in
the table for one period.
Time(t)*10^-
5
f(t)
Binary
Equivalent in 2's
Complement
form
0 5 01111111
2.5 3.54 01011001
5 0 00000000
7.5 -3.54 10100110
10 -5 10000000
12.5 -3.54 10100110
15 0 00000000
17.5 3.54 01011001
20 5 01111111
Nyquist Sampling Rate = 2*fm = 2*5000
= 10000 samples/sec




Where n=no of bits
Vm= Peak value of the cosine wave












=1.27 x 10
-4


P-3 A signal is given by the following equation:
x(n) = 1 for n=1,2,3
= -2 for n=4,5,6
= 0 elsewhere.
Plot the following signals:
1. x(n-2)
2. x(n+2)
3. x(-n)
4. x(2n)
5. x(n/2)
Solution: Plots of the signals are shown below:
P-4 Let x(n)=[1 2 3 2 4 6] and y(n)=[1 -1 1 1 2 -2]
1. Find cross-co
elation sequence for x and y.
2. Find autoco
elation sequence for x and y.
3. Find the convolution sequence z(n) for x and y.
4. Plot above three sequences using MATLAB and verify your hand calculations for
those sequences.
Solution:
Cross co
elation is given by:
∑ [ ]
[ ]
Auto co
elation of x[n] is given as:
∑ [ ]
[ ]
Convolution is given by:
[ ] ∑ [ ] [ ]
Cross and auto co
elations have been calculated for different value of
lag(l) and tabulated below.
lag(l)
cross
co
elation of x
and y
auto
co
elation of x
auto
co
elation of y
-5 -2 6 -2
-4 -2 16 4
-3 -1 28 -3
-2 5 31 0
-1 0 46 -3
0 0 70 12
1 17 46 -3
2 11 31 0
3 4 28 -3
4 -2 16 4
5 6 6 -2
Similarly convolution is performed for different value of n and
Tabulated as below:
n z[n]
0 1
1 1
2 2
3 2
4 9
5 9
6 2
7 8
8 10
9 -4
10 -12
P-5 A system is described by the following difference equation:
y(n)=x(n)-2x(n-1)-x(n-2)-4y(n-1)-2y(n-2)
1. Find the transfer function H(z) for this system.
2. Find the impulse response h(n) for this system.
Solution: taking Z-Transform both...
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