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The key problem that Shannon was trying to solve concerned transmitting messages through
various channels: telephone, television, radio, and so on. All
transmission channels have one drawback: They tend to partly change
or corrupt the message being transmitted due to accidental errors
or random signals that get mixed up with the intentional signals.
This corrupting factor is generically called noise,
whether it is actual noise on a radio or telephone, garbled telegraphic
signals, or flicker on a TV. Shannon's specific concern was: What,
if anything, can you do to counteract the effect of noise and
transmit messages as faithfully as possible?
This leads to the question of how you measure information. You
must be able to measure the information being sent and the information
being received, so that you can compare them and see how much
has been lost due to noise interference.
The basic structure of communication, as defined in Shannon and
Weaver's book, breaks down into what happens at the transmitting
end (see figure 1a) and what happens at the receiving end (see
figure 1b). All information to be communicated is represented
in some suitable code and sent over a transmission channel. At
the receiving end, the information is received and decoded. During
transmission, noise becomes mixed up with the actual signals being
sent from the information source.
This concept of communication is broad enough to cover the process
of storing information for later use, whether on paper, on disk,
or in computer memory. The only difference between this process
and more immediate communication is the delay, the indefinite
amount of time between when the information is coded and placed
in the "channel" and when it is received and decoded.
In principle, however, storing information for later use fits
into the same schematic diagram (figures 1a and 1b); thus, Shannon's
concept of information is significant far beyond the specific
problems he considered.