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Using these thresholding functions adjusted with suitable thresholds, [4] shows that, in AWGN, the wavelet-based estimators thus obtained achieve within a factor of of the performance achieved with the aid of an oracle.
In particular, the problem of selecting suitable thresholds for uneven distributions in network topology remains.
This procedure avoids the unfeasible task of defining suitable thresholds while achieving high accuracy.
The value with is the highest accuracy and shows suitable thresholds for error tolerance.
Decisions are made based on suitable thresholds chosen from the empirical set based on a histogram of correlation.
There is no implication here that determination of suitable thresholds is a simple process or one that can be reliably carried out based on limited clinical trials.
Similar(38)
With regard to adaptive thresholding, suitable threshold t is selected adaptively, which ensures enough embedding capacity for the watermark while keeps the distortion introduced as low as possible.
The second family of procedures is inspired from wavelet thresholding methods and evaluates the noise level for each IMF using a suitable threshold as in wavelet analysis.
Setting a suitable threshold for ID is a Herculean task.
Critical for the rejection of singular values is a suitable threshold.
If this probability is higher than a suitable threshold, then a link is included.
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