Principles of signal detection and parameter estimation
This new textbook is for contemporary signal detection and parameter estimation courses offered at the advanced undergraduate and graduate levels. It presents a unified treatment of detection problems arising in radar/sonar signal processing and modern digital communication systems. The material is...
Guardat en:
| Autor principal: | |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
New York, NY :
Springer US
2008.
Cham : Springer Nature |
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Principles of signal detection and parameter estimation, Bernard C. Levy, New York, Springer, 2008, 1 vol. (XVIII-639 p.), 978-0-387-76542-6 • Information processing in medical imaging, 13th International Conference, IPMI '93 Flagstaff, Arizona, USA, June 14-18, 1993, proceedings, H.H. Barrett, A.F. Gmitro (eds.), Berlin, Springer-Verlag, 1993, 1 vol. (XVI-567 p.), Lecture notes in computer science, 3-540-56800-X • Principles of Signal Detection and Parameter Estimation, Texte imprimé, 9781441945655 |
Taula de continguts:
- I Foundations
- Binary and Mary Hypothesis Testing
- Tests with Repeated Observations
- Parameter Estimation Theory
- Composite Hypothesis Testing
- Robust Detection
- II Gaussian Detection
- Karhunen Loeve Expansion of Gaussian Processes
- Detection of Known Signals in Gaussian Noise
- Detection of Signals with Unknown Parameters
- Detection of Gaussian Signals in WGN
- EM Estimation and Detection of Gaussian Signals with unknown parameters
- III Markov Chain Detection
- Detection of Markov Chains with Known Parameters
- Detection of Markov Chains with Unknown Parameters.