Fundamentals of Statistical Processing, Volume I (inbunden)
Fler böcker inom
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
608
Utgivningsdatum
1993-03-01
Upplaga
1
Förlag
Prentice Hall
Volymtitel
Estimation Theory
Dimensioner
246 x 187 x 37 mm
Vikt
1180 g
Antal komponenter
1
Komponenter
2 v. :
ISBN
9780133457117

Du kanske gillar

Fundamentals of Statistical Processing, Volume I (inbunden)

Fundamentals of Statistical Processing, Volume I

Estimation Theory

av Steven M Kay
Inbunden Engelska, 1993-03-01
1499
Bevaka
Spara som favorit
Tillfälligt slut – klicka "Bevaka" för att få ett mejl så fort boken går att köpa igen.
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.
Visa hela texten

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av Steven M Kay

  • Fundamentals of Statistical Signal Processing, Volume II

    Fundamentals of Statistical Signal Processing, Volume II

    Steven M Kay

    The most comprehensive overview of signal detection available. This is a thorough, up-to-date introduction to optimizing detection algorithms for implementation on digital computers. It focuses extensively on real-world signal processing applicati...

    1236
    Köp
    Skickas inom vardagar.

Innehållsförteckning



 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.