PEARSON EDUCATION
Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory
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- describes the field of parameter estimation based on time series data.
- provides a summary of principal approaches as well as a “roadmap” to use in the selection of an estimator.
- extends many of the results for real data/real parameters to complex data/complex parameters.
- summarizes as examples many of the important estimators used in practice.
- illustrates how a digital computer can be used to assess performance of an estimator.
- emphasizes a linear model to allow an optimal estimator to be found by inspection of a data model.
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