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Arithmetic Reduction of the Static Power Consumption in Nanoscale CMOS

The power consumption is becoming a major obstacle in future circuit design. Referring to Moore's law, by adding more functionality in an exponential way, we will also increase the total power consumption in the same pace. VLSI design has traditionally been concerning the dynamic power consumption as the limiting factor in low power system design. Today, when the feature sizes are in the nano-mete

Stochastic Models Involving Second Order Lévy Motions

This thesis is based on five papers (A-E) treating estimation methods for unbounded densities, random fields generated by Lévy processes, behavior of Lévy processes at level crossings, and a Markov random field mixtures of multivariate Gaussian fields. In Paper A we propose an estimator of the location parameter for a density that is unbounded at the mode. The estimator maximizes a modified lik

Dynamic Isotropy in 6-DOF Kinematically Constrained Platforms by Three Elastic Nodal Joints

The principle of kinematic design has a wide range of applications e.g. from optical mirror mounts to parallel robots. Despite the importance of dynamic isotropy in the optimization of dynamic performance, a thorough analysis of dynamic isotropy in different kinematic arrangements has not yet been addressed in the literature. Dynamic isotropy, leading to equal eigenfrequencies, is a powerful optim