Matt Webber is an experienced personal finance writer, researcher, and editor. He has published widely on personal finance, marketing, and the impact of technology on contemporary arts and culture.

Abstract: State estimation from noisy observations is crucial across various fields. Traditional methods such as Kalman, Extended Kalman, and Unscented Kalman Filter often struggle with nonlinearities ...

Abstract: Multi-frequency radio maps are vital for integrated sensing and communication, offering potential applications in indoor localization and smart homes. However, it is challenging to sample at ...