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Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory

โœ Scribed by Steven M. Kay

Publisher
Prentice Hall
Year
1993
Tongue
English
Leaves
303
Category
Library
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๐Ÿ“œ SIMILAR VOLUMES

Fundamentals of Statistical Signal Proce
๐Ÿ“ Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory
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A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to

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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 a

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<b> </b><p>For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals โ€• radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.</