Sentence examples for both processors are applied from inspiring English sources

Both processors are applied to similar complex targets for which the scattered fields are simulated by a numerical electromagnetic code.

Finally, in the third subsection, the MCISAR and MIISAR processors are applied to complex targets and the results are analyzed.

Resolution and sidelobe levels are studied in a realistic ISAR context and the MCISAR and MIISAR processors are applied to complex targets.

Our results yield two interesting facts: (1) allowing some load imbalance can provide some reduction in communication and total execution times and (2) as larger numbers of processors are applied to a problem, larger amounts of load imbalance are beneficial.

In bistatic SAR with a fixed receiver configuration, a two-dimensional NLCS processor was applied in [36] to deal with the large bistatic angle case.

The interest of this research is particularly relevant in optical flow scope because this system can be considered as an alternative solution for mid-range video resolutions when a combination of in-processor parallelism with optimizations such as efficient memory-hierarchy exploitation and multi-processor parallelization are applied.

The Transaction_Source block in Figures 4 and 8 is used to generate tasks that are applied to the processors as input stimuli.

For comparison we consider the ideal scenario (Full STAP) where 64-pulses are transmitted and received via 22 digitised channels and full adaptive degrees of freedom (22 64) are applied to the processor by creating a 1408 1408 covariance matrix inversion.

Finally the paper demonstrates how the co-processor can be applied to two practical applications formulated over discrete matrices, the Boolean satisfiability and covering problems.

In this article, a generic modular event-driven architecture is implemented on standalone FPGA based sensor node without processor core which can be applied to any WSN application.

Furthermore, sensing signals triggered by different motion behaviors, such as grasping, walking, stooping and so on, can be distinguished by the processor clearly, which can be applied to motion recognition and machine control.