A software energy estimation methodology is presented that avoids explicit characterization of instruction energy consumption and predicts energy consumption to within 3% accuracy...
The paper presents a digital oscillating loop for a MEMS resonator in which the instantaneous resonator position is estimated on-line with a Kalman observer. The approach is appli...
In high density (HD) mesh networks, packet losses can occur due to co-channel interference (asynchronous interference) or collisions (synchronous interference). In this paper, we f...
In the paper, a new optimal learning algorithm for a neo-fuzzy neuron (NFN) is proposed. The algorithm is characteristic in that it provides online tuning of not only the synaptic...
We develop an approach for a sparse representation for Gaussian Process (GP) models in order to overcome the limitations of GPs caused by large data sets. The method is based on a...