The main characteristics of the platform are summarized as follows.
All the characteristics of the platform are given in Table 1.
The implementation complexity of any video coding standard heavily depends on the characteristics of the platform, for example, FPGA, DSP, ASIC, SoC, on which it is mapped.
Though the complexity heavily depends on the characteristics of the platform on which it is implemented, there are still mapping metrics to evaluate implementation complexity.
The right mapping is dependent on the characteristics of the platform, i.e. processors and the network connecting them, as well as the application.
The transmissibility matrix of the vibration isolation platform is then obtained, and the frequency domain characteristics of the platform are described, with its influence on the attitude control system analyzed.
In this method, an integrated parametric system that fully considers the characteristics of the platform is developed, which significantly optimizes the design process with the top bottom design concept.
This work presents the development of Artificial Neural Networks for the analysis of any arbitrarily defined spread-mooring configuration for floating production systems (FPS), considering a given scenario characterized by the water depth, metocean data, characteristics of the platform hull, and the riser layout.
As part of the test design process each laboratory must determine the performance characteristics of the platform, test and informatics pipeline.
In this section we investigate and identify system control parameters which can impact the stability and noise characteristics of the platform.
