Maximum allowable probability of error for the (8, 4) Hamming Code

In summary, the conversation discusses the use of the (8, 4) Hamming Code and its maximum allowable probability of error in a typical binary digit (p), in order to ensure a probability of .999 that the receiver will not be misled by 3 or more errors occurring in a single word. The conversation also raises the question of whether the probability of an undetected error is equivalent to the probability of 3 or more single bit errors in the same word.
  • #1
jmomo
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Homework Statement



What is the maximum allowable probability of error is a typical digit in order that the (8, 4) Hamming Code can be used with probability .999 that the receiver will not be misled (i.e., 3 or more errors occur) in a single word?

Homework Equations



http://en.wikipedia.org/wiki/Hamming_code#Hamming_codes_with_additional_parity_.28SECDED.29

The Attempt at a Solution



Using the (8, 4) extended Hamming code, what is the maximum allowable probability of error in a typical digit (p) so that the receiver will know with certainty .999 that she has not been misled. In other words, what value of p do we have to take so that the probability of 3 or more errors in transmission is smaller than .001.
 
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  • #2
That's not an attempt at a solution.
I assume wherever you wrote digit you meant binary digit, or bit.
It's not clear to me that the probability of an undetected error is the same as the probability of 3 or more single bit errors in the same word. Certainly the code will detect all errors of one or two bits, and not all errors of three or more bits, but it might detect some errors of more than two bits.
Putting that aside for now, suppose the prob of a single bit error is p. What is the probability of three or more errors in the same word? (How long is a word in this context?)
 

FAQ: Maximum allowable probability of error for the (8, 4) Hamming Code

1. What is the maximum allowable probability of error for the (8, 4) Hamming Code?

The maximum allowable probability of error for the (8, 4) Hamming Code is 1/8 or 12.5%. This means that the code can detect and correct up to 1 bit error in every 8 bits of data transmitted.

2. How is the maximum allowable probability of error determined for the (8, 4) Hamming Code?

The maximum allowable probability of error is determined by the Hamming distance of the code. In the (8, 4) Hamming Code, the Hamming distance is 3, which means that any two valid codewords differ in at least 3 bit positions. This allows for the detection and correction of up to 1 bit error in every 8 bits of data.

3. Can the maximum allowable probability of error be increased for the (8, 4) Hamming Code?

No, the maximum allowable probability of error cannot be increased for the (8, 4) Hamming Code. The code is designed to have a maximum allowable probability of error of 1/8, and changing this value would require altering the code structure and decreasing its efficiency.

4. How does the (8, 4) Hamming Code handle errors beyond the maximum allowable probability?

If the number of errors exceeds the maximum allowable probability, the (8, 4) Hamming Code may not be able to detect or correct all errors. In this case, the code will either fail to detect the errors, leading to incorrect data, or it may produce an incorrect correction, resulting in data loss.

5. Is the (8, 4) Hamming Code the most efficient code for error detection and correction?

No, the (8, 4) Hamming Code is not the most efficient code for error detection and correction. There are other codes, such as the Reed-Solomon code, that have a higher Hamming distance and can therefore detect and correct a higher number of errors. However, the (8, 4) Hamming Code is a popular choice due to its simplicity and ease of implementation.

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