18 Questions
What is one of the functional requirements for an efficient source encoder?
The code words produced by the encoder are in binary form.
What does the term 'code efficiency' refer to in the context of source coding?
A measure of how close the source coding is to maximum efficiency.
For a fixed-length code with block length L = 3, how many symbols are in the alphabet X?
7
How can the overall code length, L, be calculated?
By taking the average code word length based on symbol probabilities.
In a fixed-length code with block length L = 3, what does C(c) represent?
010
What is the purpose of having uniquely decodable source code in source encoding?
To ensure that any encoded binary sequence can only be decoded into one original source sequence.
If two fair dice are rolled, the number of possible outcomes is:
36
For a fair die with six equally likely outcomes, the entropy per message is:
$\log_2 6$ bits/message
For three rolls of a fair die, the length of the optimal fixed-length code is:
8 bits/message
Variable-length codes are more efficient than fixed-length codes when:
The source symbols have different probabilities
A key requirement for any variable-length code is that it must be:
Uniquely decodable
In the variable-length code given: C(a)=0, C(b)=10, C(c)=11, which codeword has the shortest length?
C(a)
What is the purpose of source coding?
To represent data generated by a discrete source efficiently
Which of the following is NOT a characteristic of an effective source coding technique?
It preserves all information in the original data
What is the primary advantage of source coding?
Reduced bandwidth requirements
Which of the following is a commonly used source coding technique?
Huffman coding
In the context of source coding, what is the meaning of the term 'symbol'?
A unit of data representation
Which of the following statements about source coding is TRUE?
It can be lossless or lossy, depending on the application
Test your knowledge on the functional requirements of an efficient source encoder, including producing code words in binary form and ensuring unique decodability. Explore concepts such as entropy calculation for a source with statistically independent symbols.
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