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Fundamentals of Statistical Processing
Fundamentals of Statistical Processing
Knygos.lt klubas Knygos.lt nariams
221,54 €
-30%
Įprastai
316,49 €
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A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. KEY TOPICS: Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems. MARKETS: For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals -- radar engineer, so…
  • Leidėjas:
  • ISBN-10: 0133457117
  • ISBN-13: 9780133457117
  • Formatas: 18.4 x 24.1 x 2.8 cm, kieti viršeliai
  • Kalba: Anglų

Fundamentals of Statistical Processing (el. knyga) (skaityta knyga) | knygos.lt

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A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. KEY TOPICS: Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems. MARKETS: For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals -- radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.

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  • Autorius: Steven Kay
  • Leidėjas:
  • ISBN-10: 0133457117
  • ISBN-13: 9780133457117
  • Formatas: 18.4 x 24.1 x 2.8 cm, kieti viršeliai
  • Kalba: Anglų

A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. KEY TOPICS: Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes numerous examples as well as applications to real- world problems. MARKETS: For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals -- radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.

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