The state-space model with random noises is widely used to model dynamic systems. In many practical problems the noise terms will have unknown probability distributions, which is contrary to the usual ussumption of Gaussian noises made in state-vector estimation; this assumption is usually made for
β¦ LIBER β¦
Use of the Kalman Filter for Inference in State-Space Models With Unknown Noise Distributions
β Scribed by J. Maryak; J. Spall; B. Heydon
- Book ID
- 126760860
- Publisher
- IEEE
- Year
- 2004
- Tongue
- English
- Weight
- 159 KB
- Volume
- 49
- Category
- Article
- ISSN
- 0018-9286
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