After recalling the principle of the Jason-1 data corrective model in relation to the South Atlantic Anomaly (SAA) developed by Lemoine and Capdeville (2006), we present a model update which takes into account the orbit changes and the recent DORIS data.
After briefly recalling the principle of these methods, we illustrate their use, propose some tools to critically examine results and finally discuss applicability and limitations.
The second section recalls the principles of the Quad Tree.
The first part recalls the principles of active isolation and summarizes the main theoretical results for multiple-axis decentralized control based on force feedback.
It briefly recalls the principles of the approach, and then it describes how the employed evolutionary operations reflect the specificity of the involved mixed constrained optimization tasks, and how the approach tackles checking the feasibility of large polytope systems, frequently resulting from the optimization constraints.
Recall the principle of the method.
Figure 1 recalls the principle of the device.
Liang et al. [27] recalls the principle of the KM theory, the main assumptions and its limitations.
Here we recall the principle of operation and the major features, mainly discussing the changes made in order to improve both the robustness of the system as well as its compactness, as required for a field instrument.
Prior to describing the iterative method in use, which is based on algebraic properties of an optimal convolutional encoder [9, 10] and dual code [11], let us briefly recall the principle of our blind identification method when the intercepted sequence is corrupted.
