Despite recent advances in tactile sensing, robust active exploration remains a challenging problem, which is a major hurdle to the practical deployment of tactile sensors in robots.
In this paper, we will review various spectrum sensing methods from the optimal LRT to practical joint space-time sensing, robust sensing, and cooperative sensing and discuss their advantages and disadvantages.
In this paper, spectrum sensing techniques from the optimal likelihood ratio test to energy detection, matched filtering detection, cyclostationary detection, eigenvalue-based sensing, joint space-time sensing, and robust sensing methods are reviewed.
She gleams with good sense and robust perspective.
In a broader sense, even robust molecular biomarkers would underlie regulation networks, which would render extrapolation of effects over time difficult.
In this sense, a robust crude empirical model for the prediction of the catalytic behavior of such δ-amino-alcohol-based ligands is proposed.
However, as suggested by Goentoro and Kirschner using mathematic modelling and experimental testing, cells sense a robust fold-change in response to Wnt stimulation and, more importantly, the Wnt-induced fold-change is sensitive to perturbations in the synthesis rate of β-catenin in the responding cells (Goentoro & Kirschner, 2009).
Advantages of this topology include intrinsic two-dimensional sensing, thick robust electrodes, and large localized image charge on the cathodes.
In most cost- and space-constrained systems, an algorithm with minimal sensing requirement, robust enough to cater to dynamic and steady-state requirements is desirable.
