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20190627104800.0 |
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|a eng
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|a US
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|a y ||||001yy
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|a n
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|6 z01
|a nga
|2 rdacarrier
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1 |
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|a Fundamentals of statistical signal processing
|h [Volume I]
|i Estimation theory
|f Steven M. Kay,...
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| 210 |
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|a Upper Saddle River (N.J.)
|c Prentice Hall
|d copyright 1993
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| 215 |
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|a 1 vol. (XII-595 p.)
|c ill., couv. ill. en coul.
|d 24 cm
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| 225 |
2 |
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|a Prentice Hall signal processing series
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| 305 |
|
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|a Autre tirage : 2013
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| 320 |
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|a Notes bibliogr. Glossaire. Index
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| 359 |
2 |
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|b 1. Introduction
|b 2. Minimum variance unbiased estimation
|b 3. Cramer-Rao lower bound
|b 4. Linear models
|b 5. General minimum variance unbiased estimation
|b 6. Best linear unbiased estimators
|b 7. Maximum likelihood estimation
|b 8. Least squares
|b 9. Method of moments
|b 10. The Bayesian philosophy
|b 11. General Bayesian estimators
|b 12. Linear Bayesian estimators
|b 13. Kalman filters
|b 14. Summary of estimators
|b 15. Extensions for complex data and parameters.
|b A1. Review of important concepts
|b A2. Glossary of symbols and abbreviations.
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| 410 |
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| |
|0 013532685
|t Prentice Hall signal processing series
|x 1050-2769
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| 606 |
|
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|3 PPN027253287
|a Traitement du signal
|3 PPN027296539
|x Statistique mathématique
|2 rameau
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| 606 |
|
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|3 PPN027611361
|a Estimation, Théorie de l'
|2 rameau
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| 676 |
|
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|a 621.382
|v 23
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| 700 |
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|3 PPN033129665
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|b Steven M.
|f 1951-....
|4 070
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