Fundamentals of Statistical Signal Processing: Estimation Theory v.1: Estimation Theory Vol 1 (Prentice Hall international editions)

 
9780130422682: Fundamentals of Statistical Signal Processing: Estimation Theory v.1: Estimation Theory Vol 1 (Prentice Hall international editions)
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This text provides a unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms, which covers important approaches to obtaining an optimal estimator and analyzing its performance. Examples and real-world applications are included. The text: 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; and emphasizes a linear model to allow an optimal estimator to be found by inspection of a data model.

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Kay, Steven M.
Editorial: Prentice-Hall (1993)
ISBN 10: 0130422681 ISBN 13: 9780130422682
Usado Tapa blanda Cantidad: 1
Librería
Motor City Books
(Brownstown, MI, Estados Unidos de America)
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Descripción Prentice-Hall, 1993. Estado de conservación: Good. Minimal damage to cover and binding. Pages show light use. Nº de ref. de la librería G0130422681I3N00

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