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 imperati...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
New York ; Chichester :
Wiley,
2001.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
|---|---|
| Item Description: | "Part III"--Cover. Originally published: 1971. |
| Physical Description: | 1 online resource (xix, 626 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 0471463817 9780471463818 1280541857 9781280541858 |