Calculate the multitaper (cross-)power spectrum expectation of a function localized by spherical cap windows.

Usage

outcspectra = SHBiasK (tapers, incspectra, [lwin, k, ldata, taper_wt, save_cg])

Returns

outcspectra : float, dimension (ldata+lwin+1)
The expectation of the localized multitaper power spectrum.

Parameters

tapers : float, dimension (lwinin+1, kin)
The spherical harmonic coefficients of the localization windows. Each column corresponds to the non-zero coefficients of a single angular order. Since all that is necessary is the power spectrum of each window, the exact angular order is not required. These are generated by a call to SHReturnTapers or SHReturnTapersM.
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 localizing 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 spectral estimate. The weights must sum to unity and are obtained from SHMTVarOpt. 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

SHBiasK will calculate the multitaper (cross-)power spectrum expectation of a function multiplied by the k best-concentrated localization windows. 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 SHReturnTapers or SHReturnTapersM.

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. Note that this routine will only work when the window coefficients are non-zero for a single angular order.

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, shmtvaropt, shreturntapers, shreturntapersm, shmtvaropt, shbiasadmitcorr, shmtcouplingmatrix

Tags: python
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