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 ...Show MoreMetadata
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.
Published in: IRE Transactions on Information Theory ( Volume: 3, Issue: 1, March 1957)