A COMPARISON OF RANDOM AND PERIODIC DATA SAMPLING FOR THE DETECTION OF SIGNALS IN NOISE.

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Abstract:

Thershold coherent and incoherent detection of signals in normal noise is examined when random data sampling is employed at the receiver. The resulting optimum system and its thershold performance are compared with the corresponding cases where periodic sampling is used. Expressions for the szstem structure, the error probabilities, and the Bayes risk are obtained for most of the specific examples examined it is found that periodic sampling gives better performance than random sampling. A discussion of the generality of these results is given in the concluding section. Author

Author(s):
Middleton, David
Author Organization(s):
RAND CORP SANTA MONICA CALIF
Supplementary Note:
Published in the transactions of the International Symposium on Circuit and Information Theory.
Pagination:
0031

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
P-1642
 Subject Terms
Communities of Interest:
No COI(s) Identified
Descriptor(s):
*SIGNAL TO NOISE RATIO, *INFORMATION THEORY, SIGNALS, DETECTION, SAMPLING, STATISTICAL ANALYSIS
Field(s)/Group(s):
Cybernetics
Report Date:
1959 Feb 01