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Chapter: Analog and Digital Communication

Important Short Questions and Answers: Source and Error Control Coding

Analog and Digital Communication - Important Short Questions and Answers: Source and Error Control Coding

SOURCE AND ERROR CONTROL CODING

 

 

 

1. Define mutual information

 

It is defined as the amount of information transferred when Xi is transmitted and Yi is received. It is represented by I(Xi,Yi)

 

The average mutual information is defined as the amount of source information gain per received symbol

 

 

2. Define channel capacity

 

Channel capacity is defined as the maximum of the mutual information that may be transmitted through the channel

 

 

3. Define entropy

 

 

The entropy of a source is a measure of the average amount of information per source symbol in a long message.

 

 

4. Define linear block codes

 

A block code of length n and 2k code words is calleda linear (n, k) code if and only if its 2k code words form a k-dimensional subspace of the vector space of all the n-tuples over the field GF(2).

 

 

5. What is meant by variable length coding?

 

The message occurring frequently can be assigned short code words, whereas message which occur rarely are assigned long code word, such coding is called variable length coding.

 

 

6. Define source encoder

 

The efficient representation of data generated by a discrete source is known as source encoding. This device that performs this representation is called source encoder.

7. Define source encoding theorem

 

The discrete memory less source of entropy H(X), the average code word length

 

(L) for any distortion less source encoding is bounded.

 

8. Define code redundancy

 

It is the measure of redundancy bits in the encoded message sequence.

 

 

9. Mention the needs for encoding

 

To improve the efficiency of communication

 

To improve the transmission quality.

 

 

10. What are the advantages of Shannon fano coding

 

Reduced bandwidth

 

Reduced noise

 

It can be used for error detection and correction.

 

 

11. Define channel coding theorem

 

Channel coding theorem is applied for discrete memory less additive white gaussian noise channels

 

 

12. What are the types of error control method?

 

Error detection and retransmission

 

Error detection and correction

 

 

13. What are the objectives of cyclic codes

 

Encoding and syndrome calculations can be easily implemented by using simple shift register with feedback connection It is possible to design codes having useful error correction properties

 

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Analog and Digital Communication : Important Short Questions and Answers: Source and Error Control Coding |


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