LEARNING THE MEAN VECTOR AND COVARIANCE MATRIX OF GAUSSIAN SIGNALS IN PATTERN RECOGNITION

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Abstract:

No Abstract Identified

Author(s):
Keehn, D. G.
Author Organization(s):
STANFORD UNIV CA STANFORD ELECTRONICS LABS
Annotation:
APPROACH TO PROBLEM OF PATTERN RECOGNITION, BOTH SPATIAL AND TEMPORAL, BASED ON STATISTICAL DECISION THEORY, AND EMPLOYING A GAUSSIAN MODEL.
Pagination:
0038

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
SEL-62-155, TR-2003-6
Contract/Grant Number(s):
Nonr-22524
Project Number(s):
NR-373-360
 Subject Terms
Communities of Interest:
No COI(s) Identified
Descriptor(s):
*ELECTROMAGNETIC WAVE FILTERS, *PATTERN RECOGNITION, ADAPTIVE CONTROL SYSTEMS, MATRICES(MATHEMATICS), MONTE CARLO METHOD, PROBABILITY, SIGNALS, STATISTICAL ANALYSIS, STATISTICAL PROCESSES
Keyword(s):
COVARIANCE MATRIX, GAUSSIAN SIGNALS
Report Date:
1963 Feb 01