Randomization and Dithering in Quantized Signal Detection Systems.

Abstract

Several versions of data quantizers are considered as detection nonlinearities in a binary signal detection problem. Randomized and dithered versions of these quantizers are formulated and the performance of all proposed systems is compared to that of systems using some well-known detection nonlinearities. In particular, the robustness of the quantizer systems in noise with uncertain statistics is compared to that of the well-known systems via asymptotic relative efficiency. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1979
Accession Number
ADA085209

Entities

People

  • Michael Willard Oakes

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Detection
  • Detectors
  • Distribution Functions
  • Efficiency
  • Electrical Engineering
  • Engineering
  • False Alarms
  • Illinois
  • Plastic Explosives
  • Probability
  • Random Variables
  • Signal Detection
  • Signal Processing
  • Statistics
  • United States
  • Universities
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Radar Systems Engineering.
  • Regression Analysis.