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Xu et al. [24] alternately update the LR and HR dictionaries with K-singular value decomposition (K-SVD).
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In our scheme the shared variable is alternately updated by the connecting submodels, with both models using the same combined storage relationship.
However, the optimization problem is not convex, and a simple scheme of alternately updating R and A did not yield results useful for dereverberation in earlier experiments [17].
The optimal model parameters are determined by alternately updating the pose parameter (R θ T) at the fixed β and updating the shape parameter β at fixed (R θ T) until the shape residual error converges.
RPU and CPU use only single processing unit (pre/upd) to compute predict and update alternately.
The predict/update receives inputs from the register bank and performs predict and update operations alternately, i.e., for two clock cycles predict and for the next two clock cycles update.
A simple approach for the maximization in an M-step in our problem is to update estimates alternately between μ and other set of parameters.
For all the evaluated approaches, the transmit powers are updated alternately between base stations until network convergence is reached.
In the conventional ParFlow model [16 18] which is a time-domain solver, the inward flows and outward flows are updated alternately according to a local scattering equation determined by the property of material of the grid.
The matrices U, B and V are then updated alternately until the objective value of Eq. (11) does not change or the maximum number of iterations is met (line 2-7).
Yang's coupled learning algorithm [23] uses the alternately steepest descent algorithm to update the LR and HR dictionaries.
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