HAIDAR M.

Kalman filter is designed to predict the correct values for noisy measurements, using a probabilistic model. However, the chosen system model has a huge impact on the outcome of this algorithm, which makes it very important for the model to be as representative of the system as possible. A new approach to handle the noisy measurements in low...

The need for low cost power sources was always the scope of researchers, especially for applications such as Wireless sensor networks (WSN), where the maintenance and replacement of energy storage units is costly. In this sense, energy harvesting (EH) is more reliable and cheaper due to its unlimited availability. Though, the environment...