Accession Number:

ADA190318

Title:

Coding Capacity of Discrete-Time Gaussian and Nongaussian Channels

Descriptive Note:

Technical rept.

Corporate Author:

NORTH CAROLINA UNIV AT CHAPEL HILL DEPT OF STATISTICS

Personal Author(s):

• Baker, Charles R.

Report Date:

1987-10-01

Pagination or Media Count:

35.0

Abstract:

Coding capacity is obtained for the discrete time Gaussian channel, and upper bounds on capacity are obtained for a class of nonGaussian channels. The results apply to channels with or without memory, stationary or nonstationary. An assumption is required in order to obtain these results this assumption is appropriate for channels without memory using an average energy constraint and for a large class of channels with memory. Keywords Channel capacity Shannon theory Information theory.

Descriptors:

• *CODING
• *INFORMATION THEORY
• CAPACITY(QUANTITY)
• CHANNELS
• CONTROL THEORY
• TIME STUDIES

Subject Categories:

• Information Science
• Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE