of a
data, | INPUT DATA i
rical :
o: to
(with Y
‚if L.S. INTERPOLATION » E
the
the
wise, | SEARCH FOR
the | OPTIMUM SPACING
avoid |
pe FALSE “BiG OUTLIERS RUE | REJECTION
| M PRESENT OF OUTLIERS
| EMPIRICAL ESTIMATION
| OF COVARIANCE AND
| CROSS-COVERIANCE FUNCTION
k and
are FALSE NON-STATIONARY TRUE
FINITE ELEMENTS COVARIANCE
d for INTERPOLATION
n the
which | 1st STEP ONLY | SEARCH FOR BEST
erage MODEL FUNCTION
to 10
with TRUE COMPUTATIONAL AFTER 1st STEP
tance | PROBLEMS IN THE
| FILTERING i
the | V Y
f the | FALSE IRRELEVANT
e and | CROSS-CORRELATIONS
hould
quite | FALSE CROSS-CORRELATIONS ^. TRUE FILTERING THE
ation | TOO HIGH COMPONENTS SEPARATELY
n the
on a
ay to | FILTERING ALL THE
ments | CONPONENTS TOGETHER
lent ly | 1
om a
duced | FALSE Let SMALL OUTLIERS TRUE
sides | PRESENT
rical
been |
their x
SEARCH FOR OUTLIERS < TRUE REJECTION
5,80. | BREAK LINES RANDOM LOCATED OF OUTLIERS }—
ation |
nable |
mall, | 7
1 has | START NEW STEP ^ COLOURED
P OF COLLOCATION RESIDUAL NOISE
,ional |
amples
; look | PREDICTION ON
hat a | CHEK POINTS AND/OR
rable | A REGULAR GRID
ments |
spline
w the |
= than | OUTPUT DATA
ied by
ss the
noîse
of the Figure 3.1- Flow chart of the system of programs
or the
|
385