Abstract
A practical consideration that has so far received little attention is the correcting power of the coding required to do the job. In other words, if we need a certain improvement in channel performance, how many bits must we be able to correct? This aspect of the subject gets quite mathematical, so I shall give only a simplified view of the problem in keeping with my overall aim of minimizing the maths. The quality of a channel is often defined in terms of its bit error rate, or BER. This is a measure of how likely a bit is to be in error. A digital mobile telephone inside a building will experience a raw BER of about 10−2. This simply means that on average, one bit in 100 will be in error, or the probability that any bit will be incorrect is 0.01. Given a system requirement for a certain BER, we can see how much work the error coding needs to do.
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© 2001 Springer Science+Business Media New York
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Houghton, A. (2001). Bit Error Rates. In: Error Coding for Engineers. The Springer International Series in Engineering and Computer Science, vol 641. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1509-8_11
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DOI: https://doi.org/10.1007/978-1-4615-1509-8_11
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5589-2
Online ISBN: 978-1-4615-1509-8
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