Sentence examples for embedded implementation from inspiring English sources

The control design is tackled directly in discrete time to allow a fast embedded implementation in the vehicle.

The proposed system is able to provide stable performances regardless their intrinsic features of drivers and is suitable for embedded implementation.

However, most particle filters involve vast amount of computational complexity, thereby intensifying the challenges faced in their real-time, embedded implementation.

In response to that, we have proposed a new MPSoC approach [1] that aims at raising the abstraction level of the specifications for both software and hardware providing the necessary tools supporting the design from the specification down to the embedded implementation.

Furthermore, it has been designed to be suitable for an embedded implementation on low-performance processing platforms.

We show that using a SystemC description model paired with a mainstream automatic synthesis tool can lead to an efficient embedded implementation.

However, its large computational complexity has been a challenge to most embedded implementations.

Then, the implementation design of the MV adaptive beamforming algorithm on the embedded GPU computing platform will be described in Section 3. Section 4 will illustrate the experimental setup and the performance evaluations of the embedded implementations.

Fig. 10 MV adaptive beamforming algorithm computational speedup of embedded GPU implementation over single-core ARM processor implementation (various M and L).

The computing speed evaluation of the MV adaptive beamforming algorithm implementation comprised (a) the giga floating-point operations per second (GFLOPS), (b) the output image frame rate of the algorithm implementation, and (c) the computational speedup of the embedded GPU implementation over its ARM processor counterpart.

The computational speedup of the embedded GPU implementation over its ARM processor counterpart was another important evaluation feature of the MV adaptive beamforming algorithm implementation on the high-performance heterogeneous embedded computing platform.