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We can, to some extent, correct errors made by the receiver with only the error-filled bit stream emergingfrom the digital channel available to us. The idea is for the transmitter to send not only the symbol-derived bits emergingfrom the source coder but also additional bits derived from the coder's bit stream. These additional bits, the error correcting bits , help the receiver determine if an error has occurred in the data bits (the important bits) orin the error-correction bits. Instead of the communication model shown previously, the transmitter inserts a channel coder before analog modulation, and the receiver the corresponding channel decoder ( [link] ). This block diagram shown there forms the Fundamental Model of Digital Communication .

To correct errors that occur in the digital channel, a channel coder and decoder are added to thecommunication system. Properly designed channel coding can greatly reduce the probability (from the uncoded value of p e ) that a data bit b n is received incorrectly even when the probability of c l be received in error remains p e or becomes larger. This system forms the Fundamental Model of Digital Communication.

Shannon's Noisy Channel Coding Theorem says that if the data aren't transmitted too quickly, that error correction codes existthat can correct all the bit errors introduced by the channel. Unfortunately, Shannon did notdemonstrate an error correcting code that would achieve this remarkable feat; in fact, no one has found such a code.Shannon's result proves it exists; seems like there is always more work to do. In any case, that should not prevent us fromstudying commonly used error correcting codes that not only find their way into all digital communication systems, butalso into CDs and bar codes used on merchandise.

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Source:  OpenStax, Fundamentals of electrical engineering i. OpenStax CNX. Aug 06, 2008 Download for free at http://legacy.cnx.org/content/col10040/1.9
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