Dynamic reconfiguration in digital systems provides valuable flexibility and opportunities for enhanced efficiency, but also leads to increased complexity in terms of design analysis and optimization.
Complexity is analysed in terms of design dimensions such as the number of available alternatives, the number of attributes used to define these alternatives, the number of levels for those attributes, the range of attribute levels and the number of choice situations presented to each respondent.
Reducing the complexity of the experiment reduces costs in terms of design, optimisation and manufacture.
Accessibility is important and in terms of design, it makes strong suggestions to encourage design strategies such as: imageability, enclosure, human scale, transparency and complexity.
Most of the techniques mentioned above, either do not show good performance in high mobility scenarios or they are not suited for large FFT modes in terms of complexity and design constraints.
The design was evaluated with respect to design complexity (in terms of activity complexity and control flow complexity), fault density, and design productivity.
begin{array}rcl@ {H_{0}^{1}} & : & mu_{{GD}_{RA}}=mu_{{GD}_{IA}} {H_{1}^{1}} & : & mu_{{GD}_{RA}}>mu_{{GD}_{IA}} end{array} ({H_{0}^{2}}): there is no difference in design complexity (measured in terms of the Architectural Complexity AC) between a feedback control loop design created using the style-based approach and a feedback control loop design created using the search-based approach.
A comparative analysis of the proposed fault tolerant designs in terms of hardware complexity, latency, power consumption and error detecting and correcting capability is conducted.
They also observed improvements in design productivity when using external feedback loops, but found no significant effects on design complexity in terms of activity complexity.
Since ROBDD complexity can be predicted without building it, a great reduction in terms of time complexity for VLSI CAD designs can be achieved and very useful clues to tackle ROBDD optimization problems in the design of digital circuits can also be obtained.
