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Nederlands Buitenlands   Alles  Titel  Auteur  ISBN        
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Steven M. Kay

Fundamentals of Statistical Processing

Volume I, Estimation Theory

€ 150.65


For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals - radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.

A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.


Text in English


Taal / Language : English

Inhoudsopgave:
1. Introduction.
2. Minimum Variance Unbiased Estimation.
3. Cramer-Rao Lower Bound.
4. Linear Models.
5. General Minimum Variance Unbiased Estimation.
6. Best Linear Unbiased Estimators.
7. Maximum Likelihood Estimation.
8. Least Squares.
9. Method of Moments.
10. The Bayesian Philosophy.
11. General Bayesian Estimators.
12. Linear Bayesian Estimators.
13. Kalman Filters.
14. Summary of Estimators.
15. Extension for Complex Data and Parameters.
Appendix: Review of Important Concepts.
Glossary of Symbols and Abbreviations.
Extra informatie: 
Hardback
608 pagina's
Januari 1993
1021 gram
248 x 191 x 25 mm
Prentice Hall us

Levertijd: 5 tot 11 werkdagen