The respected classic, now in a handy paperback edition

Originally published in 1971, Harry Van Trees’ Detection, Estimation, and Modulation Theory, Part II is one of the classic references in the area of nonlinear modulation theory and analog communication. Highly readable and well organized, it is as valuable today for professionals, researchers, and students interested in the estimation of continuous waveforms as it was over thirty years ago.

Part II focuses on the problem of finding the optimum estimate of a waveform which is embedded in a signal in a nonlinear manner. The following topics are covered in detail:

• Bayesian Cramér-Rao bound on the mean-square estimation error
• Optimum demodulators for frequency-modulation systems
• Phase estimation: the synchronization problem
• Fokker-Planck techniques for nonlinear analysis in the presence of noise
• Optimum angle-modulation systems
• Rate distortion bounds for analog message transmission
• Analog communication over randomly time-varying channels
• State variable analysis procedures

For students in signal processing or professionals looking for a reliable refresher on waveform estimation, Detection, Estimation, and Modulation Theory, Part II provides authoritative, practical coverage by one of the most renowned figures in the field. Although most current systems are implemented digitally, the bounds on performance developed in Part II are still applicable.

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.