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Robustness in Signal Detection

  • H. Vincent Poor

Abstract

Signal detection systems frequently must operate in environments that are difficult to characterize with precise statistical models, and thus it is of interest to develop signal detection procedures that are robust against (i.e., insensitive to) deviations in the statistical behavior of signals and noise. During the past two decades there has been considerable work on the problem of designing such procedures, and in this chapter we present a survey of some of the principal developments in this area.

Keywords

Signal Detection Matched Filter Nominal Signal Noise Density Noise Sequence 
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 New York Inc. 1986

Authors and Affiliations

  • H. Vincent Poor
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of Illinois at Urbana-ChampaignUrbanaUSA

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