Accession Number:

ADA055174

Title:

Optimum Quantization for Memoryless Detection in m-Dependent Noise,

Descriptive Note:

Corporate Author:

PRINCETON UNIV N J DEPT OF ELECTRICAL ENGINEERING

Personal Author(s):

Report Date:

1978-03-01

Pagination or Media Count:

9.0

Abstract:

The problem of optimum data quantization for memoryless signal-detection systems operating in m-dependent noise environments is considered. The case where quantizer breakpoints are fixed or predetermined is considered first, and, for this case, existing results for general unquantized memoryless detection are modified to yield necessary and sufficient conditions for quantizer optimization in terms of asymptotic efficiency. Necessary conditions are also established for the optimum asymptotically efficient selection of quantizer breakpoints, and expressions are presented for the comparison of quantizer-detector performance on the basis of asymptotic relative efficiency. Author

Subject Categories:

  • Numerical Mathematics
  • Cybernetics
  • Non-Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE