Question

The garbled sentences in problem 8 were generated by assuming that the error rate was $1 / 10$. Explain why a minimum distance of 11 is reasonable.

   The garbled sentences in problem 8 were generated by assuming that the error rate was $1 / 10$. Explain why a minimum distance of 11 is reasonable.
Applied Algebra: Codes, Ciphers and Discrete Algorithms
Applied Algebra: Codes, Ciphers and Discrete Algorithms
Darel W. Hardy, Fred… 2nd Edition
Chapter 5, Problem 9 ↓

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The error rate in the context of transmitting messages refers to the probability that any given bit in a message is changed from 0 to 1, or from 1 to 0, during transmission. In this case, the error rate is given as $1/10$, which means there is a 10% chance that  Show more…

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The garbled sentences in problem 8 were generated by assuming that the error rate was $1 / 10$. Explain why a minimum distance of 11 is reasonable.
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Key Concepts

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Channel Error Rate and Code Design
When a channel has a known error rate, such as 1/10, designers tailor the error-correcting code so that the expected number of errors is well below the threshold that the code can handle. A minimum distance of 11 is a reasonable choice here because it provides a buffer that accommodates the statistical error distribution on the channel, ensuring that even if multiple errors (up to 10 in the worst case) occur, the structure of the code aids in either correcting these errors or clearly identifying that an error has occurred.
Error Correction and Detection Capabilities
The ability of a code to detect or correct errors depends directly on its minimum distance. Specifically, a code with a minimum distance of d can detect up to d–1 errors and correct up to ?(d–1)/2? errors. In the context of an error rate of 1/10, setting the minimum distance to 11 allows the system to manage errors effectively, ensuring that the likelihood of errors overlapping in a way that confuses one valid sentence for another is minimized.
Minimum Hamming Distance
In coding theory, the minimum Hamming distance of a code is the smallest number of positions in which any pair of distinct codewords differs. This parameter is crucial because it governs the inherent error-detecting and error-correcting capabilities of the code. A larger minimum distance means that even if several errors occur, the original codeword can still be identified correctly, or at least the presence of errors can be detected.

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