Detection, Estimation, and Modulation Theory - Part III, Radar-Sonar Signal Processing and Gaussian Signals in Noise - Grand Format

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.