The results of the proposed formula of nonlinear
interpolation, that deals with non-normal shape of
signal distribution function, which belongs to the
non-convergence property, is approaching from the
results of the conventional method in the case of
non-contaminated distributions, and that results are
better than the results of the conventional method in
the case of dealing with contaminated distributions
(I: e known Robust formula).
We can conclude that the nonlinear interpolation
signal may resemble the real signal in terms of
shape, spectrum and the capability to recover
energy of the real signal.
In addition to that, the suggested formula
represents highest grades of accuracy between real
and interpolated signals whatever a difference
between the conventional state (with and without
stress).
One of the most important recommendations is
to explore the essence of the lost part of the studied
signal through residual values. Furthermore, it is
recommended that the proposed technique can be
applied to physical body’s properties such as
(MUAC, trunk length related to abdomen center).
Due to data compression technique, the
proposed algorithm has the same orientation, where
the number of data has been compressed to about
20% from the actual size of data (which is called
the damaged signal). Therefore, it can be extracted
again using the proposed algorithm.
Despite the fact that the application was for one
subject only, but, the results are very promising to
be applied to many for getting better reliable
algorithm.
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