The most important aspects of nuclear medicine imaging systems such as Positron Emission Tomography (PET) or Single Photon Emission Computed Tomography (SPECT) are the spatial resolution and the sensitivity (detector efficiency in combination with the geometric efficiency). Considerable efforts have been spent during the last two decades in improving the resolution and efficiency by developing ...

After several decades of continuously optimizing computing systems, the Moore's law is reaching itsend. However, there an increasing demand for fast and efficient processing systems that can handlelarge streams data while decreasing system footprints. Neuromorphic answers thisneed by creating decentralized architectures communicate with binary events over time. Despiteits rapid growth in last f...

Future Smart Grid systems will intelligently monitor and control energy flows in order to improve the efficiency and reliability of power delivery. This monitoring and control requires low-delay, highly reliable communication between customers, local utilities and regional utilities. A vital part of future Smart Grids is the two-way communication links between smart meters at the customer sites...

The topic of this report is signal representation in the context of hierarchical image processing. An overview of hierarchical processing systems is included as well as a presentation of various approaches to signal representation, feature representation and feature extraction. It is claimed that image hierarchies based on feature extraction, so called feature hierarchies, demand a signal repre...

Data streaming applications are becoming more and more common due to the rapid development in emerging areas such as sensor networks, multimedia streaming, and on-line data mining, etc. These applications are often running in a decentralized, distributed environment. The requirements for processing large volumes of streaming data at real time have posed many great design challenges. One of the ...

In recent years the decreasing cost of cameras and advances in miniaturization have favoured the deployment of largescale camera networks. This growing number of cameras enables new signal processing applications that use cooperatively multiple sensors over wide areas. In particular, object tracking is an important step in many applications related to security, traffic monitoring and event reco...

In this dissertation, we develop a novel cognitive radio (CR) architecture, referred to as the Radiobot [1], whose goals go beyond dynamic spectrum access (DSA) to achieve the main features of cognition, notably, self-learning and self-reconfiguration. The proposed CR architecture is based on a sequence of signal processing and machine learning techniques that enable the Radiobot to sense a wid...

The underlying theme of this paper is to explore the various facets power systems data through lens graph signal processing (GSP), laying down foundations Grid-GSP framework. provides an interpretation for spatio-temporal properties voltage phasor measurements, by showing how well-known modeling supports a generative low-pass filter model state variables, namely phasors. Using we formalize empi...

IEEE SIGNAL PROCESSING MAGAZINE MARCH 1999 This article celebrates and highlights 50 years of signal processing technology as it has been applied to communications systems. It also looks forward to some of the numerous opportunities this exciting area opens up for signal processing research and development. This comes at a time when we witness a dramatic upswing in modern telecommunications wor...