In this paper, optimal 2-D Systolic Arrays for orthogonal matrix multiplication, as much as the corresponding hardware implementation is investigated. The selected platform is a FPGA (Field Programmable Gate Array) device since, in systolic computing, FPGAs can be used as dedicated computers in order to perform certain computations at very high frequencies. The description language used as an e...

Emerging applications mostly require both, high performance as well as support of a wide variety of communication services. For example, audio, video, and data transmission may require highly different services, e.g., guaranteed delay, jitter, or bandwidth. An additional challenge arises by the growing demand for multipoint communication services. ATM networks are capable of satisfying the basi...

The trend in satellite remote sensing assignments has continuously been concerning using hardware devices with more flexibility, smaller size, and higher computational power. Therefore, field programmable gate arrays (FPGA) technology is often used by the developers of scientific community equipment for carrying out different algorithms. This article explains implementation land surface tempera...

This article presents a high-performance hardware-in-the-loop (HIL) system aimed to assist experts in developing and testing power electronics control board their logic with real-time (RT) models of both electrical mechanical components. For demonstrating the effectiveness this for HIL testing, new industrial doubly-fed induction generator (DFIG) is tested based on comprehensive wind energy con...

Current design processes are based on top down methodologies, using hardware description languages as the input of the design flow. This trend motivates changes in the test generation and fault simulation processes in order to establish an efficient method to evaluate test strategies at high abstraction levels. To make this possible it is necessary to adopt a fault model compatible with the cir...

Machine learning techniques, especially deep learning, are playing an increasingly important role in our lives. Deep uses different models to extract information from the data. They have already had a huge impact areas such as health (i.e., cancer diagnosis), self-driving cars, speech recognition, and data encryption. Recently, models, including convolutional neural networks (CNN), been proven ...

System level simulation results of a planar electrostatic micromotor, based on analytical models of the static and dynamic torque behaviours, are presented. A planar variable capacitance (VC) electrostatic micromotor designed, fabricated and tested at LAAS (Toulouse) in 1995 is simulated using the high level language VHDL–AMS (VHSIC (very high speed integrated circuits) hardware description lan...