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 |