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Gaussian Systems

  • James Antonio Bucklew
Part of the Springer Series in Statistics book series (SSS)

Abstract

The design of information systems operating in and being corrupted by Gaussian (thermal) noise is a keystone subject area. The application areas are as numerous as are the uses of the radio spectrum. In this chapter we give a very general overview and explicitly present a theoretical framework from which a vast array of practical simulation problems can be viewed and solved.

Keywords

Gaussian Noise Error Pattern Direct Monte Carlo Simulation Noise Vector Symbol Error Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2004

Authors and Affiliations

  • James Antonio Bucklew
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of Wisconsin-MadisonMadisonUSA

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