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Detection of Signals in Noise

  • 2nd Edition - April 17, 1995
  • Latest edition
  • Authors: Robert N. McDonough, A. D. Whalen
  • Language: English

The Second Edition is an updated revision to the authors highly successful and widely used introduction to the principles and application of the statistical theory of signal detect… Read more

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Description

The Second Edition is an updated revision to the authors highly successful and widely used introduction to the principles and application of the statistical theory of signal detection. This book emphasizes those theories that have been found to be particularly useful in practice including principles applied to detection problems encountered in digital communications, radar, and sonar.

Key features

  • Detection processing based upon the fast Fourier transform

Readership

Graduate students in signal detection at Electrical Engineering Departments. Professional engineers with a need to apply detection theory to real-world systems, such as radar and sonar applications. These include remote sensingscientists and Department of Defense employees and contractors working on radar and sonar applications and aircraft surveillance (e.g., the FAA)

Table of contents

Probability
Random Processes
Narrowband Signals
Gaussian Derived Processes
Hypothesis Testing
Detection of Known Signals
Detection of Signals with Random Parameters
Multiple Pulse Detection of Signals
Detection of Signals in Colored Gaussian Noise
Estimation of Signal Parameters

Product details

  • Edition: 2
  • Latest edition
  • Published: October 27, 2012
  • Language: English

About the authors

RM

Robert N. McDonough

Affiliations and expertise
Applied Physics Laboratory

AW

A. D. Whalen

Affiliations and expertise
AT&T Bell Laboratory