Detection Estimation and Modulation Theory, Part I: Detection, Estimation, and Filtering Theory

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.

• Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory (v. 1)
• Fundamentals of Statistical Signal Processing, Volume II: Detection Theory
• Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory
• Applied Optimal Estimation (The MIT Press)
• Detection, Estimation, and Modulation Theory Part III: Radar-Sonar Signal Processing and Gaussian Signals in Noise
• Nonlinear Modulation Theory (Detection, Estimation, and Modulation Theory, Part II)
• Fundamentals of Radar Signal Processing, Second Edition (McGraw-Hill Professional Engineering)
• The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
• Convex Optimization
• Fundamentals of Statistical Signal Processing, Volume III (Paperback)