Capacity of the Independent Increment Noise Channel.
Abstract
A communications channel model with additive, independent increment, stochastically continuous noise is presented. The information capacity of this channel is obtained for a mean-square constraint imposed on the generalized intensity of the channel encoder. The capacity is derived by exploiting the Levy decomposition of the noise to decompose the channel into a white Gaussian noise channel in parallel with a marked Poisson channel. The information capacity is then obtained using results for these latter channels. In particular, recent results for the Poisson channel with mean-square constrained encoder intensity are exploited. Although only the channel without feedback is explicitly addressed, our results are also seen to be applicable in the presence of delayed causal feedback.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 30, 1990
- Accession Number
- ADA235545
Entities
People
- Michael R. Frey
Organizations
- University of North Carolina at Chapel Hill