R: Generate Donoho's Toy Data Sets

noisyDonoho {CVST} | R Documentation

## Generate Donoho's Toy Data Sets

### Description

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.

### Usage

    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)

### Arguments

`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.

### Value

Returns a data set of type CVST.data

### Author(s)

Tammo Krueger <tammokrueger@googlemail.com>

### References

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

### See Also

`constructData`

### Examples

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

[Package CVST version 0.2-2 Index]