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Computers & Technology

Computer Science

Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory

Condition: USED (All books are in used condition)

Condition - Very Good
The item shows wear from consistent use, but it remains in good condition and functions properly. Item may arrive with damaged packaging or be repackaged. It may be marked, have identifying markings on it, or have minor cosmetic damage. It may also be missing some parts/accessories or bundled items.

Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory
- 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.
Country USA
Brand PEARSON EDUCATION
Manufacturer Pearson
Binding Hardcover
ItemPartNumber 22449756
UnitCount 1
UPCs 076092031871
EANs 9780133457117
ReleaseDate 0000-00-00

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