Digital Communications

Sampling and Quantization

Question 1
Marks : +2 | -2
Pass Ratio : 100%
Original signal came to be retraced from sampled version using
Low pass filtering
High pass filtering
Low & High pass filtering
None of the mentioned
Explanation:
Original signal can be obtained from its sampled version by using low pass filtering.
Question 2
Marks : +2 | -2
Pass Ratio : 100%
Reconstruction filter is difficult to implement in hardware.
True
False
Explanation:
Reconstruction filter is simpler and easy to implement in hardware.
Question 3
Marks : +2 | -2
Pass Ratio : 100%
Using ARMA filter
Sampling can be done in real time
Gives sharp output
All of the mentioned
None of the mentioned
Explanation:
ARMA filter gives sharp output but sampling cannot be done in real time.
Question 4
Marks : +2 | -2
Pass Ratio : 100%
Delay element in delta modulation acts as
First order predictor
Second order predictor
Third order predictor
Fourth order predictor
Explanation:
Delay element act as first order predictor.
Question 5
Marks : +2 | -2
Pass Ratio : 100%
Transmitted pulse becomes distorted due to
Ideal transmission characteristic
Non ideal transmission characteristic
All of the mentioned
None of the mentioned
Explanation:
A transmitted pulse gradually becomes distorted due to non ideal transmission characteristic of the channel.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
A to D conversion process uses
Sampler
Quantizer
Sampler & Quantizer
None of the mentioned
Explanation:
A to D conversion process requires both sampler and quantizer.
Question 7
Marks : +2 | -2
Pass Ratio : 100%
Decreasing the data rate is called as
Aliasing
Down sampling
Up sampling
None of the mentioned
Explanation:
Decreasing the data rate is called as down sampling and increasing the data rate is called as up sampling.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
Shot noise occurs in
Transistors
Valves
Transistors & Valves
None of the mentioned
Explanation:
Shot noise occurs in both valves and transistors.
Question 9
Marks : +2 | -2
Pass Ratio : 100%
The quantization will be finer when
Smaller the number of discrete amplitudes
Larger the number of discrete amplitudes
Does not depend on amplitudes
None of the mentioned
Explanation:
Larger the number of discrete amplitudes, finer will be the quantization.
Question 10
Marks : +2 | -2
Pass Ratio : 100%
Auto-correlation function is a
Even function
Odd function
Even & Odd function
None of the mentioned
Explanation:
Auto-correlation function is an even function of time.