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Hybrid represents a heuristic variant of the SURE threshold.
The SURE threshold is chosen by minimizing Stein's estimate.
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But Sure Start was not universal, and many of the poorest children in its study will never have crossed the Sure Start threshold.
The signal de-noised by means of Stein's Unbiased Risk Estimation (SURE), Hybrid or heuristic SURE, minimax thresholds, and universal threshold, respectively, is presented in Figures 9, 10, 11, and 12. SURE threshold is associated with a quadratic loss function.
Indeed, contrary to the universal thresholding, in the SURE algorithm the threshold depends on the signal and not only the estimated noise.
Then, a denoising step was applied using the method described in Hsu et al. [29] using the Haar wavelet family and the sure estimator for thresholding, with Jo (the level up to which the wavelet coefficients are subject to thresholding) equals to 4. The wavelet decomposition and reconstruction functions were from the WAVESLIM package.
This method uses a hybrid of the universal threshold and the SURE (Stein's Unbiased Risk Estimator) threshold.
Check to make sure the threshold you have set makes sense relative to the size of the events you are recording and the noise level.
First, we reviewed the actual items to make sure the thresholds corresponded to the reading load and complexity of individual items.
In [22], the single-threshold Algorithm 1 was used and the threshold selection was based on the minimization of the SURE of the MSE of the channel estimation.
In this paper, to improve the SURE-LET approach, a hybrid thresholding function is designed by incorporating the local Wiener filter into the pointwise thresholding function.
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