Detection, Estimation, and Modulation Theory, Part III: Radar–Sonar Signal Processing and Gaussian Signals in Noise

The respected classic, now in a handy paperback edition
Originally published in 1968, Harry Van Trees′s Detection, Estimation, and Modulation Theory, Part III is one of the great time–tested classics in the field of signal processing. Highly readable and practically organized, it is as imperative today for professionals, researchers, and students in optimum signal processing as it was over thirty years ago.
Part III focuses on radar–sonar signal processing and Gaussian signals in noise. The following topics are covered in detail:
∗ Detection of Gaussian signals in white Gaussian noise
∗ General binary detection: Gaussian processes
∗ Estimation of the parameters of a random process
∗ The radar–sonar problem
∗ Parameter estimation: slowly fluctuating point targets
∗ Doppler–spread targets and channels
∗ Range–spread targets and channels
∗ Doubly–spread targets and channels
The results are still largely applicable to current systems.
For students in signal processing or professionals looking for a reliable refresher course, Detection, Estimation, and Modulation Theory, Part III provides authoritative, practical coverage by one of the most renowned figures in the field. Part III also provides necessary background for Optimum Array Processing, Part IV of Detection, Estimation, and Modulation Theory.

Spis treści:
Introduction.
Detection of Gaussian Signals in White Gaussian Noise.
General Binary Detection: Gaussian Processes.
Special Categories of Detection Problems.
Discussion: Detection of Gaussian Signals.
Estimation of the Parameters of a random Process.
Special Categories of Estimation Problems.
The Radar–Sonar Problem.
Detection of Slowly Fluctuating Point Targets.
Parameter Estimation: Slowly Fluctuating Point Targets.
Doppler–Spread Targets and Channels.
Range–Spread Targets and Channels.
Doubly–Spread Targets and Channels.
Discussion.
Appendix: Complex Representation of Bandpass Signals, Systems, and Processes.
References.
Glossary.
Author Index.
Subject Index.

Nota biograficzna:
HARRY L. VAN TREES, ScD, was Professor of Electrical Engineering at Massachusetts Institute of Technology. He served as Chief Scientist of the U.S. Air Force, Chief Scientist of the Defense Communications Agency, and Principle Deputy Assistant Secretary of Defense for C3I. He was President of M/A–Com–Linkabit Government Systems and a cofounder of CommQuest Technologies. He is currently Distinguished Professor of Electrical Engineering and Director of the C3I Center of Excellence at George Mason University, Fairfax, Virginia.

Okładka tylna:
The respected classic, now in a handy paperback edition
Originally published in 1968, Harry Van Trees′s Detection, Estimation, and Modulation Theory, Part III is one of the great time–tested classics in the field of signal processing. Highly readable and practically organized, it is as imperative today for professionals, researchers, and students in optimum signal processing as it was over thirty years ago.
Part III focuses on radar–sonar signal processing and Gaussian signals in noise. The following topics are covered in detail:
∗ Detection of Gaussian signals in white Gaussian noise
∗ General binary detection: Gaussian processes
∗ Estimation of the parameters of a random process
∗ The radar–sonar problem
∗ Parameter estimation: slowly fluctuating point targets
∗ Doppler–spread targets and channels
∗ Range–spread targets and channels
∗ Doubly–spread targets and channels
The results are still largely applicable to current systems.
For students in signal processing or professionals looking for a reliable refresher co urse, Detection, Estimation, and Modulation Theory, Part III provides authoritative, practical coverage by one of the most renowned figures in the field. Part III also provides necessary background for Optimum Array Processing, Part IV of Detection, Estimation, and Modulation Theory.