Accession Number:

ADA235652

Title:

Likelihood-Ratio Detection of Stochastic Signals.

Descriptive Note:

Technical rept.,

Corporate Author:

NORTH CAROLINA UNIV AT CHAPEL HILL DEPT OF STATISTICS

Personal Author(s):

• Baker, C. R.
• Gualtierotti, A. F.

Report Date:

1989-10-01

Pagination or Media Count:

51.0

Abstract:

Algorithms are given for the detection of a general stochastic signal imbedded in Gaussian or nonGaussian spherically-invariant noise. A summary is given of the theoretical development leading to the algorithms, along with the approximations leading to the algorithms. Adaptive and nonadaptive algorithms are described, along with specific procedures for their implementation.

Descriptors:

• *STOCHASTIC PROCESSES
• *DETECTION
• *SIGNAL PROCESSING
• SIGNALS
• GAUSSIAN NOISE
• ALGORITHMS

Subject Categories:

• Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE