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Nonlinear Filters

- Estimation and Applications

About Nonlinear Filters

Nonlinear and nonnormal filters are introduced and developed. Traditional nonlinear filters such as the extended Kalman filter and the Gaussian sum filter give biased filtering estimates, and therefore several nonlinear and nonnormal filters have been derived from the underlying probability density functions.

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  • Language:
  • English
  • ISBN:
  • 9783540613268
  • Binding:
  • Hardback
  • Pages:
  • 256
  • Published:
  • August 15, 1996
  • Edition:
  • 21996
  • Dimensions:
  • 155x235x17 mm.
  • Weight:
  • 1260 g.
Delivery: 2-3 weeks
Expected delivery: October 12, 2025

Description of Nonlinear Filters

Nonlinear and nonnormal filters are introduced and developed. Traditional nonlinear filters such as the extended Kalman filter and the Gaussian sum filter give biased filtering estimates, and therefore several nonlinear and nonnormal filters have been derived from the underlying probability density functions.

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