Denoises a Gaussian contaminated vector using a version of the wavelet-based ``greedy tree" algorithm by Baraniuk, see the reference in the article.
|x||The noisy vector, its length must be a power of 2.|
|filter.number||The filter number of the analysing wavelet. Can be set to 1, 2, ..., 10 for family == "DaubExPhase", or to 4, 5, ..., 10 for family == "DaubLeAsymm".|
|family||The family of wavelet bases from which the wavelet filter.number is chosen. Can be set to "DaubExPhase" or "DaubLeAsymm".|
|min.level||The minimum level thresholded.|
|noise.level||Standard deviation of the noise, can be set to a positive number or NULL; in the latter case it will be estimated using MAD.|
|est||Denoised version of x.|