A nearest neighbors approach to multidimensional filtering
- 1 December 1972
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
The necessity of filtering noisy data generated by multidimensional processes arises in many diverse settings. The direct application of the Kalman-Bucy results is hindered by dimensionality difficulties inherent in multidimensional problems. This paper shows that for linear steady-state problems significant dimensionality reductions can be accomplished thus making routine the solution of many interesting problems.Keywords
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