This paper presents a VLSI Architecture to implement the forward and inverse 2-D Discrete Wavelet Transform (FDWT/IDWT), to compress medical images for storage and retrieval. Lossless compression is usually required in the medical image field. The word length required for lossless compression makes too expensive the area cost of the architectures that… (More)
Recent advances in power electronic converters highly rely on the development of new control algorithms. These implementations often require complex control architectures featuring microprocessors, digital signal processors, and field-programmable gate arrays (FPGAs). Whereas software implementations are feasible for most power electronics practitioners,… (More)
Resonant converters often require accurate load characterization in order to ensure appropriate and safe control. Besides, for systems with a highly variable load, as the induction heating systems, a real-time load estimation is mandatory. This paper presents the development of an FPGA-based test-bench aimed to extract the electrical equivalent of the… (More)
The evolution of integrated circuit technology is causing system designs to move towards communication-based architectures. However, metallic interconnect networks can be very costly in terms of power and silicon area and can thus become a bottleneck in system on chip design. Integrated optical interconnect has been identified by the ITRS as a potential… (More)
Janus is a modular, massively parallel, and reconfigurable FPGA-based computing system. Each Janus module has one computational core and one host. Janus is tailored to, but not limited to, the needs of a class of hard scientific applications characterized by regular code structure, unconventional data-manipulation requirements, and a few Megabits database.… (More)
With Ianus, a next-generation field-programmable gate array (FPGA)-based machine, the authors hope to build a system that can fully exploit the performance potential of FPGA devices. A software platform that simplifies Ianus programming will extend its intended application range to a wide class of interesting and computationally demanding problems.