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Fundamentals of Statistical Processing: Estimation Theory, Volume 1
Fundamentals of Statistical Processing: Estimation Theory, Volume 1
Knygos.lt klubas Knygos.lt nariams
145,45 €
-30%
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207,79 €
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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. A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.
  • Leidėjas:
  • Metai: 1993
  • Puslapiai: 608
  • ISBN-10: 0133457117
  • ISBN-13: 9780133457117
  • Formatas: 18.7 x 24.3 x 2.4 cm, kieti viršeliai
  • Kalba: Anglų

Fundamentals of Statistical Processing: Estimation Theory, Volume 1 (el. knyga) (skaityta knyga) | knygos.lt

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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.

A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.

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145,45 €
-30%
Įprastai
207,79 €
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  • Autorius: Steven M. Kay
  • Leidėjas:
  • Metai: 1993
  • Puslapiai: 608
  • ISBN-10: 0133457117
  • ISBN-13: 9780133457117
  • Formatas: 18.7 x 24.3 x 2.4 cm, kieti viršeliai
  • Kalba: Anglų

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.

A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.

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