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The interval of shrinkage threshold will be T ≤ 6 R N (23).
Based on Chambolle threshold, this article presents a novel shrinkage threshold which is optimal in spherical coordinates.
For an impulse, in relation to which the probability density function can be represented by (9), Hyvärinen used the sparse shrinkage threshold rule [20]: (15).
Proof: Chambolle et al. [13] proposed a better shrinkage threshold in Besov space as follows: N ≤ T - q F B q β L p Ω q (6).
Set q = 1, shrinkage threshold formula (6) can be rewritten as follows: T ≤ F B 1 α L 1 Ω N (13).
Therefore, the shrinkage threshold under different scales is finally determined as follows: T k = η k 6 R k N, k = 1, 2, 3, … (25).
Similar(44)
Therefore, different shrinkage thresholds need to be chosen at different scales.
The signal can be made more sparse by the wavelet shrinkage thresholding [33].
The signal can be made sparser by wavelet shrinkage thresholding [37].
The wavelet shrinkage thresholding [33] was applied to make the signal more sparse.
By using the wavelet shrinkage thresholding, we can set most coefficients in the other subbands to zero with little distinct visual degradation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com