Title :
On the capacity of a noisy continuous channel
fDate :
3/1/1957 12:00:00 AM
Abstract :
The capacity of a noisy continuous channel is discussed in both cases where the signal transmitted over the channel is expressible by a process with mutually independent random variables and where it is expressible by a Markov process. Unlike discrete channels, continuous channels impose certain restrictions on transmitter power in general. In the case of a continuous channel under disturbance of additive noise, a theorem on the capacity in terms of channel parameters is obtained and applied. Then in the general case of a Markov process a general procedure to calculate the capacity is shown.
Keywords :
Information theory; Additive noise; Channel capacity; Density functional theory; Frequency; Helium; Information theory; Integral equations; Markov processes; Probability; Random variables; Sampling methods; Signal processing; Telegraphy; Transmitters;
Journal_Title :
Information Theory, IRE Transactions on
DOI :
10.1109/TIT.1957.1057393