Digital Communications

Sampling and Quantization

Question 1
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 2
Marks : +2 | -2
Pass Ratio : 100%
Different cases of sampling include
Ideal impulse sampling
Flat-topped sampling
Sampling with rectangular pulses
All of the mentioned
Explanation:
The three cases of sampling are ideal impulse sampling, sampling with rectangular pulses and flat topped sampling.
Question 3
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 4
Marks : +2 | -2
Pass Ratio : 100%
Non uniform quantization includes
Compression
Expansion
Compression & Expansion
None of the mentioned
Explanation:
Compression and expansion give the feature of non uniform quantization.
Question 5
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.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
Which signals are function of time?
Random signal
Deterministic signal
Random & Deterministic signal
None of the mentioned
Explanation:
Deterministic signals are function of time.
Question 7
Marks : +2 | -2
Pass Ratio : 100%
Source coding reduces
Redundancy
Average bit rate
Redundancy & Average bit rate
None of the mentioned
Explanation:
Source coding reduces both average bit rate and reduces redundancy.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
The signal can be reconstructed
At Nyquist rate
Above Nyquist rate
At & above the Nyquist rate
None of the mentioned
Explanation:
The signal can be reconstructed from the sampled version at or above Nyquist rate using simple low pass filtering.
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%
In which mixing is easier?
Analog signal
Digital signal
Analog & Digital signal
None of the mentioned
Explanation:
Mixing of digital signals are easier than that of mixing analog signals.