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"For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing its performance. Authoer Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples."--Cover, volume 1.
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Previews available in: English
Edition | Availability |
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1
Fundamentals Of Statistical Signal Processing
March 30, 2001, Not Avail
in English
0130724106 9780130724106
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2
Fundamentals Of Statistical Signal Processing
March 30, 2001, Not Avail
Hardcover
in English
0130724106 9780130724106
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zzzz
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3
Fundamentals of statistical signal processing
1993, Prentice-Hall PTR, Prentice Hall PTR
in English
0133457117 9780133457117
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Book Details
Table of Contents
v. 1. Estimation theory
v. 2. Detection theory.
Edition Notes
Includes bibliographical references and index.
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History
- Created April 1, 2008
- 17 revisions
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