Fundamentals of Statistical Signal Processing Estimation Theory
Spend $50 to get a
This item qualifies for FREE shipping.
30 day, 100% satisfaction guarantee!
Rush Rewards U
You have reached 400 XP and carrot coins. That is the daily max!
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.
Copyright year: 1993
Publisher: Prentice Hall PTR
Publication date: 3/26/1993
Size: 7.50" wide x 9.75" long x 1.00" tall
|Minimum Variance Unbiased Estimation|
|Cramer-Rao Lower Bound|
|General Minimum Variance Unbiased Estimation|
|Best Linear Unbiased Estimators|
|Maximum Likelihood Estimation|
|Method of Moments|
|The Bayesian Philosophy|
|General Bayesian Estimators|
|Linear Bayesian Estimators|
|Summary of Estimators|
|Extension for Complex Data and Parameters|
|Appendix: Review of Important Concepts|
|Glossary of Symbols and Abbreviations|