hf.bt {haarfisz} | R Documentation

## hf.bt

### Description

Denoises a Gaussian contaminated vector using a version of the wavelet-based ``greedy tree" algorithm by Baraniuk, see the reference in the thesis.

### Usage

    hf.bt(x, filter.number = 1, family = "DaubExPhase", min.level = 3, noise.level = NULL)

### Arguments

`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.

### Value

Returns: item{est}{Denoised version of `x`.}

### Author(s)

Piotr Fryzlewicz

[Package haarfisz version 4.0-2 Index]