Calculate the multitaper (cross-)power spectrum expectation of a function localized by arbitrary windows derived from a mask.

## Usage

`outcspectra`

= SHBiasK (`tapers`

, `incspectra`

, [`lwin`

, `k`

, `ldata`

, `taper_wt`

, `save_cg`

])

## Returns

`outcspectra`

: float, dimension (`ldata`

+`lwin`

+1)- The expectation of the multitaper localized power spectrum.

## Parameters

`tapers`

: float, dimension ((`lwinin`

+1)**2,`kin`

)- The spherical harmonic coefficients of the localization windows generated by a call to
`SHReturnTapersMap`

. The coefficients in each column are ordered according to the convention in`SHCilmToVector`

. `incspectra`

: float, dimension (`ldatain`

+1)- The global unwindowed power spectrum.
`lwin`

: optional, integer, default =`lwinin`

- The spherical harmonic bandwidth of the localizing windows.
`k`

: optional, integer, default =`kin`

- The number of localization windows to use. Only the first
`k`

columns of`tapers`

will be employed, which corresponds to the best-concentrated windows. `ldata`

: optional, integer, default =`ldatain`

- The maximum degree of the global unwindowed power spectrum.
`taper_wt`

: optional, float, dimension (`kin`

), default = -1- The weights to apply to each individual windowed specral estimate. The weights must sum to unity, and the default specifies that taper weights are not used.
`save_cg`

: optional, integer, default = 0- If set equal to 1, the Clebsch-Gordon coefficients will be precomputed and saved for future use (if
`lwin`

or`ldata`

change, these will be recomputed). To deallocate the saved memory, set this parameter equal to 1. If set equal to 0 (default), the Clebsch-Gordon coefficients will be recomputed for each call.

## Description

`SHBiasKMask`

will calculate the multitaper (cross-)power spectrum expectation of a function multiplied by the `k`

best-concentrated localization windows derived from an arbitrary mask. This is given by equation 36 of Wieczorek and Simons (2005) (see also eq. 2.11 of Wieczorek and Simons 2007). In contrast to `SHBias`

, which takes as input the power spectrum of a single localizing window, this routine expects as input a matrix containing the spherical harmonic coefficients of the localizing windows. These can be generated by a call to `SHReturnTapersMap`

and the coefficients in each column are ordered according to the convention in `SHCilmToVector`

.

It is assumed implicitly that the power spectrum of `inspectrum`

is zero beyond degree `ldata`

. If this is not the case, the ouput power spectrum should be considered valid only for the degrees up to and including `ldata`

- `lwin`

.

The default is to apply equal weights to each individual windowed estimate of the spectrum, but this can be modified by specifying the weights in the optional argument `taper_wt`

. The weights must sum to unity. If this routine is to be called several times using the same values of `lwin`

and `ldata`

, then the Clebsch-Gordon coefficients can be precomputed and saved by setting the optional parameter `save_cg`

equal to 1.

## References

Wieczorek, M. A. and F. J. Simons, Minimum-variance multitaper spectral estimation on the sphere, J. Fourier Anal. Appl., 13, 665-692, doi:10.1007/s00041-006-6904-1, 2007.

Simons, F. J., F. A. Dahlen and M. A. Wieczorek, Spatiospectral concentration on a sphere, SIAM Review, 48, 504-536, doi:10.1137/S0036144504445765, 2006.

Wieczorek, M. A. and F. J. Simons, Localized spectral analysis on the sphere, Geophys. J. Int., 162, 655-675, doi:10.1111/j.1365-246X.2005.02687.x, 2005.

## See also

shbias, shreturntapersmap, shmtcouplingmatrix

Edit me