noisyDonoho | R Documentation |

This function allows to generate noisy variants of the toy signals introduced by Donoho (see reference section). The scaling is chosen to reflect the setting as discussed in the original paper.

noisyDonoho(n, fun = doppler, sigma = 1) blocks(x, scale = 3.656993) bumps(x, scale = 10.52884) doppler(x, scale = 24.22172) heavisine(x, scale = 2.356934)

`n` |
Number of data points that should be generated. |

`fun` |
Function to use to generate the data. |

`sigma` |
Standard deviation of the noise component. |

`x` |
Number of data points that should be generated. |

`scale` |
Scaling parameter. |

Returns a data set of type CVST.data

Tammo Krueger <tammokrueger@googlemail.com>

David L. Donoho and Jain M. Johnstone.
Ideal spatial adaptation by wavelet shrinkage.
*Biometrika*, 81 (3) 425–455, 1994.

`constructData`

bumpsSet = noisyDonoho(1000, fun=bumps) plot(bumpsSet) dopplerSet = noisyDonoho(1000, fun=doppler) plot(dopplerSet)

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.