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sure: SURE wavelet shrinkage method of [16]. .
In [19], the signal steering vector is estimated based on Oracle approximating shrinkage method.
In the study, we compared SEMD with the conventional EMD and a wavelet shrinkage method.
On the other hand, SURE shrinkage method failed to do so.
In the curvelet shrinkage method, denoising is achieved by hard-thresholding of the curvelet coefficients.
The following steps are also from wavelet shrinkage method [18], which is repeated here for convenience.
Similar(11)
However, there are still some curve-like artifacts in MGA-based shrinkage methods [6].
However, it gives higher PSNR than the conventional wavelet shrinkage methods and the spatial nonlocal means filtering method.
In [38], the authors discuss shrinkage methods that calculate the intensity parameter on the basis of received observations.
Another difficulty is to avoid ringing artifacts caused by the sidelobes of signal, which is common in wavelet shrinkage methods.
The advantage of wavelet shrinkage methods is that they require not much computations while providing pleasing results.
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