Signal Detection: Gaussian and Non-Gaussian Models with Nuisance Parameters.

reportActive / Technical Report | Accession Number: ADA120827 | Open PDF

Abstract:

Signal detection problems are treated in the context of several Gaussian and non-Gaussian stochastic processes with one or more nuisance parameters. The techniques all entail a basic data transformation and the use of a Kolmogorov-type statistic on one or more components of the transformed data. Extraneous statistical noise and randomized rank statistics are employed. Numerical examples are given. Author

Author(s):
Bell, C. B.
Author Organization(s):
SAN DIEGO STATE UNIV CA DEPT OF MATHEMATICAL SCIENCES
Descriptive Note:
Technical rept.,
Pagination:
0035

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
3-82
Contract/Grant Number(s):
N00014-80-C-0208
 Subject Terms
Modernization Areas:
Directed Energy
Communities of Interest:
No COI(s) Identified
Descriptor(s):
*DETECTION, *GAUSSIAN NOISE, *SIGNALS, *STATISTICAL ANALYSIS, *POISSON EQUATION, DATA PROCESSING, STOCHASTIC PROCESSES, RANDOM VARIABLES, NUMERICAL ANALYSIS, TRANSFORMATIONS, RANK ORDER STATISTICS
Field(s)/Group(s):
Statistics and Probability
Keyword(s):
Gaussian models, Nongaussian models, Nuisance parameters, Signal detection, Statistical hose, Poisson processes, Data transformation
Report Date:
1982 Jul 01