Accession Number : AD0660607

Title :   STATISTICAL DESCRIPTION OF A CLASS OF NONGAUSSIAN CHANNELS USING EXPANSIONS BASED ON THE LOGNORMAL DISTRIBUTION.

Descriptive Note : Technical rept.,

Corporate Author : NEW YORK UNIV N Y DEPT OF ELECTRICAL ENGINEERING

Personal Author(s) : Klose,Dirk R. ; Kurz,Ludwik

Report Date : JUN 1967

Pagination or Media Count : 66

Abstract : To develop improved detection procedures for the extraction of digital data from a background of nongaussian noise, it is necessary to obtain improved representations for a class of nongaussian processes. In this report a new representation theory based on the deviations from a lognormal distribution is developed. Two conceptually different representations are presented. These improved representations are particularly useful in obtaining a more complete description of the statistics for multi-hop and tropospheric scatter communication links. By the proper application of this new and flexible representation theory it is shown that one can develop improved detection procedures. The detectors based on the new representation can be adjusted to perform optimally for a large class of nongaussian channels. (Author)

Descriptors :   (*INFORMATION THEORY, FUNCTIONAL ANALYSIS), (*DATA TRANSMISSION SYSTEMS, INFORMATION THEORY), SERIES(MATHEMATICS), PROBABILITY DENSITY FUNCTIONS, RANDOM VARIABLES, DETECTION

Subject Categories : Cybernetics
      Non-radio Communications

Distribution Statement : APPROVED FOR PUBLIC RELEASE