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Implementation and Experimental Results for Bayesian Detection

  • Simon J. Godsill
  • Peter J. W. Rayner

Abstract

In this chapter we discuss implementation issues concerned with the Bayesian detection schemes derived in the last two chapters. Experimental results from several implementations of the detector are then presented which demonstrate the performance improvements attainable using the new schemes.

Keywords

Posterior Probability Error Probability Detection State Noise Amplitude Noise Burst 
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-Verlag London 1998

Authors and Affiliations

  • Simon J. Godsill
    • 1
  • Peter J. W. Rayner
    • 1
  1. 1.Engineering DepartmentUniversity of CambridgeCambridgeUK

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