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

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)

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1959
Accession Number
AD0639558

Entities

People

  • David Middleton

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Detection
  • Information Theory
  • Mathematics
  • Probability
  • Sampling
  • Statistical Sampling
  • Stochastic Processes

Readers

  • Business Analytics
  • Statistical inference.