The stringent requirements for low-latency and privacy of the emerging high-stake
applications with intelligent devices such as drones and smart vehicles make the cloud …

Fast wireless data aggregation and efficient battery recharging are two critical design
challenges of Internet-of-Things (IoT) networks. Over-the-air computation (AirComp) and …

In this paper, we introduce a kernel recursive least-squares (KRLS) algorithm that is able to
track nonlinear, time-varying relationships in data. To this purpose, we first derive the …

Universal blind image quality assessment (IQA) metrics that can work for various distortions
are of great importance for image processing systems, because neither ground truths are …

Complex-valued signals occur in many areas of science and engineering and are thus of
fundamental interest. When developing signal processing methods in the complex domain …

We provide a comprehensive account of recent advances in biomedical image analysis and
classification from two complementary imaging modalities: terahertz (THz) pulse imaging …

The paper presents a new framework for complex support vector regression (SVR) as well
as Support Vector Machines (SVM) for quaternary classification. The method exploits the …

This paper presents a quantized kernel least mean square algorithm with a fixed memory
budget, named QKLMS-FB. In order to deal with the growing support inherent in online …

Intelligent mobile platforms such as smart vehicles and drones have recently become the
focus of attention for onboard deployment of machine learning mechanisms to enable low …

Online learning has been at the center of focus in signal processing learning tasks for many
decades, since the early days of the LMS and Kalman filtering and it has already found its …