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Several numerical schemes for the implementation of this implicit and local linearization procedure are explored and illustrated with several numerical results.
In order to extend the use of these algorithms to images painted on manifolds it is necessary to devise numerical schemes for the implementation of the geodesic generalizations of these equations.
The authors therefore believe that the SPIW and SPOW schemes are promising alternatives to the conventional SPN and SPL schemes for the implementation of next-generation optical packet switching systems.
Over the past decade, there has been a continued interest in the design of schemes for the implementation of particle filtering algorithms using parallel or distributed hardware of various types, including general purpose devices such as multi-core CPUs or graphical processing units (GPUs) [1] and application-tailored devices such as field-programmable gate arrays (FPGAs) [2].
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A novel scheme for the implementation of the control loop of the MPPT circuit is proposed, combining good performance with compact design.
In this study, we propose a numerical scheme for the implementation of the symmetric boundary condition (SBC) in both dissipative particle dynamics (DPD) and multibody dissipative particle dynamics (MDPD) using a combined ghost particles and specular reflection (CGPSR) method.
Figure 8 depicts a simplified block scheme for the implementation of a cosine modulated filter bank.
Illustration of the "off-line optimization and online forecasting" scheme for the implementation of the ETAS model in CSEP.
Considerable effort has been recently devoted to the design of schemes for the parallel implementation of sequential Monte Carlo (SMC) methods for dynamical systems, also widely known as particle filters (PFs).
An analysis of conditions for the effective occurrence of the process under consideration has been performed, and the optimum scheme for the technological implementation of the method being developed has been designed.
To help the selection of parallelism techniques and schemes for hardware implementation, the parallelism efficiency of BCJR-SISO decoder level parallelism (i.e., including subblock and component-decoder parallelisms) has to be considered (14).
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