###

MATLAB implementation

The subroutine
`software/gmix_condx.m` is used to
generate the conditional distribution.
The syntax is
gparm2 = gmix_condx(gparm,x_idx,y_idx,y)

where `gparm` is the GM parameter vector for
,
`x_idx` are the indexes indicating which
elements of constitute (they can be any
elements), and similarly for `y_idx`.
The subroutine
`software/gmix_cmean.m` uses
`software/gmix_condx.m` to compute the
conditional mean of .
The syntax is

xhat = gmix_cmean(gparm,x_idx,y_idx,y)

where all inputs are identical to
`software/gmix_condx.m`. The one exception is that
input `y` can include any number of
samples of . The dimensions
of `y` are N-by-P where N is the
number of samples and P is the dimension of .

Baggenstoss
2017-05-19