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Non-linear and non-normal filter based on Monte-Carlo technique PDF

17 Pages·1997·0.106 MB·English
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by Hisashi Tanizaki| 1997| 17 pages| 0.106| English

About Non-linear and non-normal filter based on Monte-Carlo technique

A non-linear and/or non-normal filter is proposed in this paper. Generating random draws of the state vector directly from the filtering density, the filtering estimate is obtained, which gives us a recursive algorithm. There, we do not evaluate any integration included in the density-based filtering algorithm such as the numerical integration procedure and the Monte-Carlo integration approach. The Monte-Carlo experiments indicate that the proposed non-linear and non-normal filter shows a good performance.

Detailed Information

Author:Hisashi Tanizaki
Publication Year:1997
ISBN:137968
Pages:17
Language:English
File Size:0.106
Format:PDF
Price:FREE
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