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Parameter Identification of GCML Based on Compressed Sensing
In this section, we first transform the parameter identification problem of GCML to the reconstruction problem in compressed sensing.
Given a GCML model described as (1) and M observed values [x.sub.t](i) of every lattice element i, where 1 [less than or equal to] t [less than or equal to] M, 1 [less than or equal to] i [less than or equal to] N, then the identification problem of (1) can be transformed into the reconstruction problem of an underdetermined linear system.
So the identification of GCML can be transformed into the reconstruction problem of an underdetermined linear system.
Therefore, we define the sensing matrix related to the GCML as A = (1/[alpha])B, where [alpha] = [max.sub.1[less than or equal to]i[less than or equal to]N] [[parallel][b.sub.i][parallel].sup.2.sub.2] .
GCML's achievements have been recognized at product and deal level through awards such as Fund of the Year for 2007 and 2008, as well as Private Equity Deal of the Year for 2008 by Terrapinn.
Shailesh Dash, Managing Partner at GCML said, "It is an extreme proud moment for GCML and the financial sector in Kuwait.
GCML has demonstrated its strength to successfully invest and add substantial value to the regional family businesses.
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- GCN5 (general control of amino-acid synthesis, yeast, homolog)-like 2
- GCN5 general control of amino-acid synthesis 5-like 2