Identification of linear relations from noisy data: Geometrical aspects
β Scribed by S. Beghelli; U. Soverini
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 536 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0167-6911
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In a recent paper, two least-squares (LS) based methods, which do not involve prefiltering of noisy measurements or parameter extraction, are established for unbiased identification of linear noisy input-output systems. This paper introduces more computationally efficient estimation schemes for the
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