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Detection of Known Signals in Additive Noise

  • Saleem A. Kassam
Part of the Springer Texts in Electrical Engineering book series (STELE)

Abstract

In this chapter we will begin our description of signal detection schemes for non-Gaussian noise by consideringn one of the simplest to formulate and most commonly encountered of all detection problems.This is the detection of real-valued deterministic signal which is completely know in a background of additive noise. We shall be concerned exclusively with discrete-time detection problems in this book. In many applications discrete-time observations are obtained by sampling at a uniform rate same underlying continuous-time observation process. In the next section we will give the example of detection of a pulse train in additive noise to illustrate how a discrete-time detection problem may arise in a different manner from an original problem formulation in the continuous-time domain.

Keywords

Detection Probability Pulse Train Gaussian Approximation Optimum Detector Noise Density 
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

© Dowden & Culver, Inc. 1988

Authors and Affiliations

  • Saleem A. Kassam
    • 1
  1. 1.Department of Electrical EngineeringUniversity of PennsylvaniaPhiladelphiaUSA

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