Methods for Tree-Based Local Adaptive Thresholding


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Documentation for package ‘treethresh’ version 0.1-11

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estimate.sdev Estimate noise level from wavelet coefficients
estimate.sdev.imwd Estimate noise level from wavelet coefficients
estimate.sdev.wd Estimate noise level from wavelet coefficients
extract.coefficients Extracting and updating coefficients stored in wd or imwd objects
extract.coefficients.imwd Extracting and updating coefficients stored in wd or imwd objects
extract.coefficients.wd Extracting and updating coefficients stored in wd or imwd objects
get.t Extract estimated hard threshold
get.t.treethresh Extract estimated hard threshold
get.t.wtthresh Extract estimated hard threshold
get.w Extract estimated weights
get.w.treethresh Extract estimated weights
get.w.wtthresh Extract estimated weights
insert.coefficients Extracting and updating coefficients stored in wd or imwd objects
insert.coefficients.imwd Extracting and updating coefficients stored in wd or imwd objects
insert.coefficients.wd Extracting and updating coefficients stored in wd or imwd objects
prune Prune a tree using cross-validation
prune.treethresh Prune a tree using cross-validation
prune.wtthresh Prune a tree using cross-validation
row263 Example signal sequence
subtree Extract subtree by pruning according to a specified complexity parameter
subtree.treethresh Extract subtree by pruning according to a specified complexity parameter
subtree.wtthresh Extract subtree by pruning according to a specified complexity parameter
thresh Perform thresholding according to a tree
thresh.treethresh Perform thresholding according to a tree
thresh.wtthresh Perform thresholding according to a tree
tiles Example image
trees Example image
treethresh Compute optimal thresholding partition for a sequence, matrix, or array of data.
wavelet.treethresh Threshold wavelet coefficients
wtthresh Compute optimal thresholding partition for a sequence of linked arrays