sqrt.est(noisy, wav.filter.number = 4, family = "DaubLeAsymm", theta = 0.01, ti = T)

Performs the SQRT denoising algorithm as described in the paper. Requires WaveThresh.

Takes:

noisy |
The noisy vector; its length has to be a power of two. |

wav.filter.number |
The wavelet filter number of the wavelet basis used for denosing. Can be between 1 and 10 if family = "DaubExPhase", and between 4 and 10 if family = "DaubLeAsymm". |

family |
The wavelet family name of the wavelet basis used for denosing. Can be set to "DaubExPhase" (Daubechies' Extremal Phase) or "DaubLeAsymm" (Daubechies' Least Asymmetric). |

theta |
The theta parameter of the thresholding profile; must be between 0 and 1. |

ti |
If T, then the translation-invariant version of the algorithm is performed. If F, then the algorithm is based on the traditional Discrete Wavelet Transform. |

Returns:

denv |
The denoised vector. |