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Digital Communications Multiple Choice Questions | MCQs | Quiz

Digital Communication Interview Questions and Answers
Pratice Digital Communication questions and answers for interviews, campus placements, online tests, aptitude tests, quizzes and competitive exams.

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•   Signal Processing
•   Signal Classification
•   Spectral Density
•   Random Signals
•   Baseband System
•   Noise - 1
•   Noise - 2
•   Digital Communication
•   DC System - 1
•   DC System - 2
•   Process Types
•   Signals
•   Analog Information
•   Corruption Sources
•   Pulse Code Modulation
•   Non Uniform Quantization
•   Baseband Transmission - 1
•   Baseband Transmission - 2
•   Correlative Coding
•   Sampling & Quantization - 1
•   Sampling & Quantization - 2
•   Signals & Noises
•   Intersymbol Interference - 1
•   Intersymbol Interference - 2
•   Equalization
•   Non Coherent Detection
•   Bandpass Techniques
•   Coherent Detection
•   M-ary Signalling
•   Link Budget Analysis
•   Link Budget Error Control
•   Noise Parameters
•   Waveform Coding
•   Structured Sequence
•   Error Detection
•   Linear Block Codes
•   Convolution Encoding
•   Reed Solomon Code
•   Concatenated Codes
•   Shannon Hartley Theorem
•   Bandwidth Modulation
•   Communication Resources
•   Trellis Coded Modulation
•   PAM, PWM & TDM
•   M-ary Modulation
•   Modulation & Multiplexing
•   Modulation & Entropy
•   Modulation Techniques
•   Network Synchronization
•   Receiver Synchronization
•   Spread Spectrum & TDMA
•   Access Algorithm
•   INTELSAT
•   TDM & FDM
•   TDM vs FDM
•   Spread Spectrum & CDMA
•   Pseudo Noise Sequence
•   Frequency Hopping
•   Acquisition & Tracking
•   Cellular Systems
•   Cipher Systems Secrecy
•   Stream Encryption
•   Spread Spectrum
•   Public Key Cryptosystems1
•   Public Key Cryptosystems2
•   Pretty Good Privacy
•   Mobile Radio Propagation
•   Signal Time Spreading
•   Rake Receivers
•   Decision Theory Effects
•   Abstraction & Layering
•   Protocols
•   Random Processes
•   ISDN & Interface
•   Error Detection - 1
•   Error Detection - 2
•   Codes & Coding Technique
•   Interpolation
•   Information & Coding
•   Quantization - 1
•   Quantization - 2

Best Reference Books

Digital Communication Books
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Digital Communications Questions and Answers – Quantization – 1

Posted on November 3, 2015 by Manish

This set of Digital Communications Multiple Choice Questions & Answers (MCQs) focuses on “Quantization”.

1. Spread spectrum is used for
a) Encrypting signal
b) Hiding signal
c) Encrypting & Hiding signal
d) None of the mentioned
View Answer

Answer: c
Explanation: Spread spectrum is used for hiding and encrypting signals.

2. Which is a quantization process?
a) Rounding
b) Truncation
c) Rounding & Truncation
d) None of the mentioned
View Answer

Answer: c
Explanation: Rounding and truncation are the examples of quantization process.

3. Quantization is a _____ process.
a) Few to few mapping
b) Few to many mapping
c) Many to few mapping
d) Many to many mapping
View Answer

Answer: c
Explanation: Quantization is a many to few mapping process.

4. Quantization is a _____ process.
a) Non linear
b) Reversible
c) Non linear & Reversible
d) None of the mentioned
View Answer

Answer: a
Explanation: Quantization is a non linear and irreversible process.

5. Which conveys more information?
a) High probability event
b) Low probability event
c) High & Low probability event
d) None of the mentioned
View Answer

Answer: b
Explanation: High probability event conveys less information than a low probability event.

6. If the channel is noiseless information conveyed is ___ and if it is useless channel information conveyed is ___
a) 0,0
b) 1,1
c) 0,1
d) 1,0
View Answer

Answer: d
Explanation: If the channel is noiseless information conveyed is 1 and if it is useless channel information conveyed is 0.

7. The mutual information between a pair of events is
a) Positive
b) Negative
c) Zero
d) All of the mentioned
View Answer

Answer: d
Explanation: The mutual information between a pair of events can be positive negative or zero.

8. The output of the source encoder is an analog signal.
a) True
b) False
View Answer

Answer: b
Explanation: The output of the source encoder is a sequence of binary digits. The conversion of source output to digital form is done here in source encoder.

9. The output of an information source is
a) Random
b) Deterministic
c) Random & Deterministic
d) None of the mentioned
View Answer

Answer: a
Explanation: The output of any information source is random.

10. When the base of the logarithm is e, the unit of measure of information is
a) Bits
b) Bytes
c) Nats
d) None of the mentioned
View Answer

Answer: c
Explanation: The unit of measure of information is determined based on the base of logarithm. If the base is e then the unit is nats( natural unit).

Sanfoundry Global Education & Learning Series – Digital Communications.

To practice all areas of Digital Communications, here is complete set of 1000+ Multiple Choice Questions and Answers.

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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer and SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage & Cluster Administration, Advanced C Programming, SAN Storage Technologies, SCSI Internals and Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him below:
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