SHANNON THEOREM FOR A DISCRETE NOISY CHANNEL AND SIGNALS OF VARIOUS CLASSES |
| 4 | |
| 2011 |
| scientific article | 621.391.019.4 | ||
| 89-97 | discrete message, information transfer, source entropy, signal random parameter, probability of a correct decision, uninformative signal parameter, optimum filter, error probability, orthogonal signal |
| Discrete data transmission over a noisy communication channel has been studied for the reception of signals
with random parameters. Using the theory of optimum reception, it has been shown that a random signal amplitude,
as well as random amplitude and phase, do not allow us to use successfully the optimum coding. In this case, errorless
data transmission is only possible at the expense of an increase in signal-to-noise ratio. The random initial phase
of the signal is less harmful and in this case the use of the optimum coding is effective. The results obtained have
made it possible to formulate the Shannon theorem more accurately. |
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