| 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 |