A message comprises a set of symbols which are to be mapped onto binary code words for transmission. The code word set is {000000, 000111, 010010, 100001, 110011, 111000}. How many bit errors in a code word can be reliably detected? (Type a number only - no units.)
Question
A message comprises a set of symbols which are to be mapped onto binary code words for transmission. The code word set is {000000, 000111, 010010, 100001, 110011, 111000}. How many bit errors in a code word can be reliably detected? (Type a number only - no units.)
Solution
To answer this question, we need to understand the concept of Hamming distance. The Hamming distance in information technology represents the number of bit differences between two binary words. It is used in error detection and correction.
In this case, we need to find the minimum Hamming distance between all pairs of code words. The minimum Hamming distance is the smallest number of bit changes needed to go from one code word to another.
Here are the Hamming distances for each pair of code words:
- 000000 and 000111: Hamming distance is 3
- 000000 and 010010: Hamming distance is 2
- 000000 and 100001: Hamming distance is 2
- 000000 and 110011: Hamming distance is 4
- 000000 and 111000: Hamming distance is 3
- 000111 and 010010: Hamming distance is 3
- 000111 and 100001: Hamming distance is 3
- 000111 and 110011: Hamming distance is 3
- 000111 and 111000: Hamming distance is 2
- 010010 and 100001: Hamming distance is 4
- 010010 and 110011: Hamming distance is 2
- 010010 and 111000: Hamming distance is 3
- 100001 and 110011: Hamming distance is 3
- 100001 and 111000: Hamming distance is 3
- 110011 and 111000: Hamming distance is 3
The minimum Hamming distance is 2. This means that we can reliably detect up to 2-1=1 bit error in a code word. If there are 2 or more bit errors in a code word, it might be interpreted as a different valid code word, and the error would not be detected. So, the answer is 1.
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