Originally published in 1968, Harry Van Trees's Detection, Estimation, and Modulation Theory, Part I 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. The second edition is a thorough revision and expansion almost doubling the size of the first edition and accounting for the new developments thus making it again the most comprehensive and up-to-date treatment of the subject.

With a wide range of applications such as radar, sonar, communications, seismology, biomedical engineering, and radar astronomy, among others, the important field of detection and estimation has rarely been given such expert treatment as it is here. Each chapter includes section summaries, realistic examples, and a large number of challenging problems that provide excellent study material. This volume which is Part I of a set of four volumes is the most important and widely used textbook and professional reference in the field.

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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.

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Detection, Estimation, & Modulation Theory: Radar-Sonar Signal Processing & Gaussian Signals in Noise

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