Improved system identification with Renormalization Group
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Updated: May 3, 2026

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale
Published on: April 19, 2021
Qing-Guo Wang1, Chao Yu1, Yong Zhang2
1Department of Electrical and Computer Engineering, National University of Singapore, 117576, Singapore.
Abstract:
This paper proposes an improved system identification method with Renormalization Group. Renormalization Group is applied to a fine data set to obtain a coarse data set. The least squares algorithm is performed on the coarse data set. The theoretical analysis under certain conditions shows that the parameter estimation error could be reduced. The proposed method is illustrated with examples.
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