Fundamentals of statistical signal processing: estimation theory

Minimum variance unbiased estimation Cramer-Rao lower bound linear models general minimum variance unbiased estimation best linear unbiased estimators maximum likelihood estimation least squares method of moments the Bayesian philosophy general Bayesian estimators linear Bayesian estimators Kalman filters summary of estimators extension for complex data and parameters.