An approach for the parametric representation of anatomical structures of the human body by means of trigonometric interpolating sums (TIS) is introduced.
The set-based approach is used for parametric fault detection and isolation and is exemplified using experimental data.
Initially, this approach was used for parametric optimization of simple bipolar and MOS circuits, e.g. current mirrors, gain stages, differential amplifiers, etc. Encouraged by these results, it was applied to much more complex blocks, such as op-amps.
Recently, new approaches for accurate parametric estimations of time-varying multicomponent signals with closely separated Doppler signatures encountered in OTHR systems have been developed and have yielded high accuracy estimation of the relative target altitude [11, 12].
This work illustrates simulation approach for optimizing the parametric design and performance of a 2-DOF R R planar manipulator.
The logistic kernel machine, first proposed by Liu et al. [38] for analysis of genome-wide expression profiles, may be the first unified approach for multi-dimensional parametric and nonparametric modeling of the pathway effect.
However this approach does not account for parametric uncertainty which may lead to loss of stability and performance degradation.
