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Cited by 287

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Discrete-time adaptive windowing for velocity estimation

Janabi-Sharifi, F., Hayward, V., Chen, C.-S.J.·2000·IEEE Transactions on Control Systems Technology

Abstract

We present methods for velocity estimation from discrete and quantized position samples using adaptive windowing. Previous methods necessitate trade-offs between noise reduction, control delay, estimate accuracy, reliability, computational load, transient preservation, and difficulties with tuning. In contrast, a first-order adaptive windowing method is shown to be optimal in the sense that it minimizes the velocity error variance while maximizes the accuracy of the estimates, requiring no tradeoff. Variants of this method are also discussed. The effectiveness of the proposed technique is verified in simulation and by experiments on the control of a haptic device.

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Metadata

Authors
Janabi-Sharifi, F., Hayward, V., & Chen, C.-S. J.
Venue
IEEE Transactions on Control Systems Technology
Published
2000
Volume
8
Issue
6
Pages
1003-1009
ISSN
1063-6536 (ISSN-L)
OpenAlex
W2147618425
Cited by
287
References
6
FWCI
5.07
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Discrete-time adaptive windowing for velocity estimation. https://app.cochat.ai/papers/10.1109/87.880606
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Janabi-Sharifi, F., Hayward, V., & Chen, C.-S. J. (2000). Discrete-time adaptive windowing for velocity estimation. IEEE Transactions on Control Systems Technology. https://doi.org/10.1109/87.880606

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