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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.
Detection processing based upon the fast Fourier transform
Audience: 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).
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. Extensions. References. Bibliography. Index.