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

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SUMMARY

The maximum allowable probability of error for the (8, 4) Hamming Code is determined by ensuring that the probability of three or more errors occurring in a single word is less than 0.001, allowing for a confidence level of 0.999 that the receiver will not be misled. The discussion emphasizes the need to calculate the probability of three or more bit errors, given a single bit error probability denoted as p. The Hamming Code effectively detects all single and double bit errors but may not detect all instances of three or more bit errors.

PREREQUISITES
  • Understanding of Hamming Codes, specifically the (8, 4) extended Hamming Code
  • Knowledge of probability theory, particularly binomial probability distributions
  • Familiarity with error detection mechanisms in digital communications
  • Basic concepts of binary digits (bits) and their significance in coding theory
NEXT STEPS
  • Calculate the binomial probability for three or more errors in a word using the formula for binomial distributions
  • Explore the implications of error detection and correction in digital communication systems
  • Investigate other coding techniques that provide higher error correction capabilities
  • Learn about the performance metrics of Hamming Codes in various communication scenarios
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Students and professionals in computer science, electrical engineering, and telecommunications who are studying error detection and correction methods, particularly those focusing on Hamming Codes and their applications in digital communication systems.

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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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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?)
 

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