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. 2019 Mar 30;46(2):193–210. doi: 10.1007/s10928-019-09629-4

Fig. 3.

Fig. 3

The experimental data included undesired information in the form of noise. To estimate parameters given these noisy data we need to filter the undesired information without losing too much desired information. The data were filtered by wavelet denoising according to a wden function in MATLAB. The filtered data are input to the chaos synchronization estimation method based on least squares or extended least squares objective functions