# Level-dependent Thresholding of SW Coefficients

### Description

This function calculates level-dependent thresholded SW coefficients.

### Usage

1 | ```
thresh.level(x, norm, policy, Q, type)
``` |

### Arguments

`x` |
coefficients of multiscale SBF's |

`norm` |
norm of multiscale SBF's (SW) |

`policy` |
threshold technique. At present the possible policies are ‘"universal"’, ‘"fdr"’ and ‘"Lorentz"’. |

`Q` |
parameter for the false discovery rate of ‘"fdr"’ policy. |

`type` |
the type of thresholding. This can be ‘"hard"’, ‘"soft"’ or ‘"Lorentz"’. |

### Value

`tgamma` |
level-dependent thresholded SW coefficients |

### References

Donoho, D.~L. and Johnstone, I.~M. (1994) Ideal spatial
adaptation by wavelet shrinkage. *Biometrika*, **81**,
425–455.

Oh, H-S. (1999) Spherical wavelets and their statistical analysis with applications to meteorological data. Ph.D. Thesis, Department of Statistics, Texas A\&M University, College Station.

Oh, H-S. and Li, T-H. (2004) Estimation of global temperature fields from scattered observations by
a spherical-wavelet-based spatially adaptive method. *Journal of the Royal Statistical Society
Ser.* B, **66**, 221–238.

### See Also

`mrs.comp.thresh.level`

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